375 projects
skilldock
OpenAPI-driven Python SDK and CLI for the SkillDock.io API.
uis-sprint-report
A Python package for generating sprint reports and managing sprint activities at University Information Services.
pyautogui-mcp
Expose PyAutoGUI through MCP.
langchain-pull-md
langchain-pull-md is a Python package that extends LangChain with a loader to convert URLs into Markdown. It addresses the challenge of extracting content from JavaScript-rendered pages, like those built with React, Angular, or Vue.js, by utilizing the pull.md service. This approach optimizes resource usage and ensures efficient, reliable Markdown conversion directly from URLs.
pull-md
A simple Python package to convert URLs to Markdown.
voiceform-fill
voiceform‑fill turns spoken answers into structured form text using advanced models, enabling hands‑free, accurate data entry.
text-parsematch
text-parsematch processes text input with pattern matching and retries to ensure structured, validated output for data extraction and content categorization.
outline-ai
outline-ai converts text into structured summaries, proposals, or outlines, automating publication creation with clarity and ease.
copyright-stats-extractor
copyright-stats-extractor parses headlines/articles on digital copyright enforcement to auto‑extract stats like takedown counts, year, and parties.
django-idea-analyzer
django-idea-analyzer provides structured feedback on Django project ideas, assessing feasibility, challenges, and best practices for efficient development evaluation.
bookmark-analyzer
Organize bookmarks and browsing history with automated tagging and categorization.
holiday-narrative-parser
holiday-narrative-parser processes holiday event narratives to extract themes, tone, and key details for analysis and summarization.
auto-comsight
Auto-comsight extracts structured insights from text about autonomous systems, categorizing components, challenges, and optimizations.
toon-troubleshooter
Toon-troubleshooter identifies and solves Cartoon Network viewing issues via user input and structured responses.
vuln-structure
vuln-structure is a package that extracts vulnerability details from raw text and outputs standardized, structured data for security teams.
eco-num-extract
eco-num-extract turns natural science text into structured numeric data using llmatch-guided outputs.
structuinput
structuinput transforms natural language inputs into structured outputs like API templates, config files, and data schemas, streamlining development and integration.
retro-audit
retro-audit helps gamers craft authentic, spam‑free retro content with structured feedback for better engagement.
txn-harvester
txn-harvester extracts and structures financial transaction data from unstructured text, parsing amounts, dates, and categories for automation.
text-to-struct
text-to-struct converts unstructured text into standardized, structured output
bookmuse
bookmuse generates personalized reading lists based on user preferences and reading history.
model-compare
model-compare evaluates AI models side‑by‑side based on user tasks, rating accuracy, creativity, and efficiency to guide model choice.
unistruct
unistruct extracts structured data from unstructured text, aiding project planning and management by converting free-form inputs into actionable details.
layerxtr
Layerxtr extracts layer details from text, structuring them for designers to auto replicate images.
keyinfostruct
keyinfostruct extracts and structures key info from personal texts, highlighting main points, emotions, and suggested actions for better organization.
buildlog-parser
buildlog-parser extracts structured log data, categorizing status, errors, warnings, timestamps for easy CI analysis.
chronicle-ai
Chronicle-ai extracts and summarizes historical queries into structured, formatted summaries using llmatch-messages for clarity.
psycopol-synth
psycopol-synth analyzes psychological-political theories, extracting concepts and relationships to provide clear structured summaries.
release-extractor
Extracts key release details from unstructured text to create clear, structured summaries.
relnote-extractor
Relnote-extractor parses raw update texts, extracting version, date, features, fixes, and formats into a clean, concise summary.
text-digestor
Transforms raw text into clean, readable articles by removing ads, nav, sidebars, preserving core narrative with structured output.
cert-blitz
decodes and analyzes digital certificates and TLS server configurations from text input.
psi-fusion-insights
psi-fusion-insights extracts structured data from PsiQuantum fusion tech texts, summarizing techniques, benefits, challenges, and uses.
forum-guard
enables structured and reliable textual interactions in global forums through pattern matching and retries, facilitating high-quality conversations.
fin-insight-extract
fin-insight-extract extracts and structures key business and financial insights from unstructured text for analysts and investors.
vitae-parser
vitae-parser extracts and structures biographical details from unstructured text using pattern matching.
fin-summary
fin-summary analyzes financial transaction problems, extracting issue details and creating structured summaries with recommended actions.
text-to-avatar
Text-to-avatar generates visual UI attributes from natural language descriptions of avatars.
noun-verb
noun-verb is a package that reframes self-concept from fixed labels (nouns) to dynamic actions (verbs).
tech-summary
tech-summary processes text to extract structured summaries of technical concepts, ensuring consistent and reliable output for developers, educators, and writers.
cpufreqizer
cpufreqizer recommends optimal CPU scaling governors and kernel params based on workload, balancing power and performance.
lvmthin-helper
lvmthin-helper automates LVM Thin Provisioning management by analyzing user inputs and current setups, offering optimized configurations and troubleshooting steps for efficient storage.
clima-nutri
clima-nutri analyzes text on CO2's impact on food quality, summarizing nutritional and caloric changes for policy and research.
fin-trend-analyzer
fin-trend-analyzer analyzes financial news and sentiment to identify trends and risks in AI and tech stocks, providing structured insights for quick market assessment.
news-summizr
news-summizr extracts structured summaries from headlines, labeling key points like announcement, products, region for quick insight.
leaderboard-summarizer
Extracts and organizes leaderboard/ranking data from text via smart pattern matching and retries, delivering clean, structured summaries effortlessly.
mag-safe-finder
mag-safe-finder recommends the perfect MagSafe cable based on your inputs, highlighting compatibility, pros/cons, and care tips.
partnershipparser
partnershipparser extracts and structures key info from tech partnership news for easy analysis of companies, focus areas, and impacts
texttoknowledge
Convert unstructured text into structured, queryable knowledge with llmatch-messages. Extract and organize key details for fast, reliable access—ideal for teams and researchers.
rankextractplus
rankextractplus extracts and structures ranked info from text, organizing data for easier comparison and analysis.
phenomenon-interpreter
phenomenon-interpreter analyzes textual descriptions of natural events to generate structured summaries or classifications automatically
finclaimvalid
Verify financial claims with rapid analysis and data-driven insights
tech-insights-extractor
tech-insights-extractor summarizes tech breakthroughs, extracts key innovations, and categorizes advances from user text using LLM prompts.
update-notes-extractor
update-notes-extractor is a package that extracts and structures release notes from software updates for easy, standardized, machine-readable summaries.
text-geo-map
text-geo-map turns plain text location descriptions into standardized geospatial data for interactive maps.
impact-parser
impact-parser processes text to extract structured data on service disruptions, including affected areas, impact scope, causes, and restoration times.
bizact-insights
Text input processor for corporate actions, extracting key entities, actions, and context.
heritage-insight
Generates structured summaries, timelines, and thematic insights from historical or cultural texts using pattern matching and language models.
zx2xberry
zx2xberry translates ZX Spectrum+ keyboard keypresses into commands for XBerry Pi devices.
csrf-sentry
Helps developers implement tailored CSRF protection strategies without tokens, ensuring robust security and easy integration.
cs-year-explorer
Access computer science history by year, including major breakthroughs, research papers, and technological advancements.
write-struct
write-struct transforms user-submitted text into structured, formatted content for improved readability and consistency.
econ-legalizer
econ-legalizer is a package that extracts structured summaries and insights from text input on regional economic and legal issues.
perf-metric-xtr
perf-metric-xtr extracts key performance metrics from tech announcements and outputs standardized summaries.
idea-extractor
idea-extractor extracts, categorizes, and scores high‑impact software ideas from forum discussions, outputting themes, feasibility and market impact.
hist-pred-extractor
Extracts & structures historical predictions from text using llmatch-messages.
data-rental-share
data-rental-share facilitates secure, temporary, and structured data sharing with defined rental terms, usage permissions, and expiration dates for transparency and manageability.
govaitextextract
govaitextextract extracts structured AI/tech initiative data from text for policy, news, and recruitment analysis.
sec-summary-llm
packages extracts structured summaries from security and government texts using LLM
websumm-agent
Efficient web information retrieval and summation without excessive token usage.
vidconcept-sum
vidconcept-sum generates structured, factual summaries of scientific/educational concepts from video titles or descriptions using an LLM.
ai-benchmark-analyzer
Analyzes and summarizes AI benchmark results from unstructured text descriptions.
archaeo-summarizer
archaeo-summarizer extracts structured summaries from archaeological and historical texts, highlighting key findings and cultural developments for efficient research.
vidlytics
vidlytics extracts text from multimedia, generates domain-specific summaries & insights from prompts, enabling quick understanding without direct video processing.
ai-workflow-automator
ai-workflow-automator turns plain text into validated AI pipeline configs for seamless serverless data workflows.
av-safety-parser
av-safety-parser extracts aviation incident details from unstructured text, outputting standardized data on incident type, aircraft, and risks.
logistics-headline-extractor
Extracts key information from unstructured news headlines into structured domain-specific summaries for business, logistics, and transportation sectors.
legalysis
legalysis extracts parties, issues, outcomes, and lessons from case texts into a consistent, structured format for quick legal insight.
lawhead-extractor
lawhead-extractor parses legal headlines, extracting parties, claim type and outcome using an LLM with pattern matching for accuracy.
transcript-insightful
transcript-insightful extracts and structures key insights from video transcripts, delivering concise themes and implications.
eduai-friction
eduai-friction is a package promoting informed discussions around AI in education by analyzing 'Four Frictions' and providing actionable steps.
pricewise-hardware
Pricewise-Hardware guides users in buying servers, RAM, flash using LLM7 and llmatch, offering configs, trend insights, and buying tactics.
foodtrend-analyzer
Analyze and summarize food trends from text inputs, extracting key points and identifying patterns.
mindflow-synth
mindflow-synth extracts and structures insights on deep focus and flow from text, providing consistent, actionable summaries.
whatsapp-linkify
Transforms phone numbers into direct WhatsApp chat links for easy conversations.
text-theme-scribe
text-theme-scribe extracts recurring themes from text and returns a structured list of key concepts via LLM, ensuring consistent formatting.
cogni-summary
cogni-summary efficiently generates structured non-technical summaries for productivity and cognitive science content.
whatsapp-linkcraft
whatsapp-linkcraft generates validated WhatsApp chat links from phone numbers using an LLM, handling formatting and errors automatically for clickable URLs.
text2structured-summary
text2structured-summary generates structured summaries from unstructured text using an LLM.
challengeturn
A new package that analyzes user input text to determine if it expresses a challenge or a statement of inability, and returns a structured, encouraging response. It uses pattern matching to identify p
sport-evo-summary
A new package that transforms unstructured text about sports evolution into a structured summary. Users input text describing changes in a sport, and the package returns a standardized breakdown of ke
logference
A new package would process user complaints or descriptions about logging systems, extracting structured insights such as common pain points, root causes, or improvement suggestions. It uses an LLM to
inboxpattern
A new package that helps users and organizations analyze and categorize email account usage patterns. The package takes user-submitted text input describing their email management habits and returns a
passgen-llm
A new package that takes user-provided text input (such as event details, membership information, or coupon data) and uses an LLM to generate structured, formatted pass content for Apple Wallet. It en
llm-event-digest
A new package that processes news headlines or short text inputs to generate structured summaries of events, such as service disruptions or incidents. It uses an LLM to extract key details like the co
fractal-categorizer
A new package that processes user-provided text descriptions of fractal patterns, cellular automata configurations, or similar generative systems, and returns structured analyses or classifications. F
iac-summarizer
A new package that analyzes technical arguments and extracts structured summaries from text discussions about infrastructure-as-code practices. It takes user-provided text (such as forum posts, articl
conflict-zone-extractor
A new package that processes text input describing volunteer activities in conflict zones, such as reports of volunteers physically intervening between Israeli settlers and Palestinian villages. It us
avianinsight
A new package that analyzes user-provided text descriptions of bird behaviors and returns structured insights about potential bird consciousness indicators, such as problem-solving, social interaction
headline-parser
A new package that processes news headlines or short text snippets to generate structured summaries of current events. It uses an LLM to extract key entities, topics, and sentiment, ensuring the outpu
newspresso
A new package that processes text-based news or announcement summaries, such as changes in chart inclusion rules for platforms like YouTube on the U.S. Billboard Charts. It uses structured LLM interac
hybrid-cloud-navigator
A new package that helps users understand and navigate the complexities of hybrid cloud environments in 2025. Users can input their specific hybrid cloud challenges, such as data gravity (the tendency
devide-spec
A new package that transforms unstructured developer tool ideas from text inputs into structured, actionable product specifications. Users can describe their desired tool in natural language, and the
dns-insight-extractor
This new package facilitates extracting structured insights from text-based content related to domain-specific issues, such as analyzing DNS blocking reports. Given unstructured text describing networ
data-convertible
A new package that provides a structured and reliable way to process user input related to common developer utilities such as JSON, Base64, URL, and hash operations. It uses an LLM to interpret user r
motionify
A new package designed to facilitate the creation and control of animated characters in real-world environments by interpreting user instructions and transforming them into structured action plans. It
text2markdown-formatter
A new package designed to transform unstructured text inputs into well-formatted Markdown content. This tool is particularly useful for users who need to convert raw text, such as notes, ideas, or dra
claim-summarizer
A new package that takes user-provided text (such as a blog post title or a short article snippet) and generates a structured summary highlighting key advantages or claims. It uses an LLM to analyze t
ui-feedback-parser
A new package is designed to analyze user-submitted discussions or problem descriptions about improving business interfaces, such as Chase Travel's UI. It processes the input text and outputs a struct
linkedin-post-craft
A new package that generates professional LinkedIn posts from user-provided text input. Users can input their key points, achievements, or ideas, and the package will return a well-structured LinkedIn
git-llm-troubleshoot
A new package that helps users troubleshoot and resolve common Git mistakes. Users can describe their Git-related issues in plain text, and the package will use llmatch-messages to provide structured,
hnbookextractor
A new package is designed to analyze user-submitted text about Hacker News discussions to identify and extract a structured list of books mentioned in 2025. It leverages language models to recognize b
ai-reliability-analyzer
A new package that analyzes user queries about AI tool reliability and generates structured insights. It takes a text input, such as a question or comment about AI code editor performance issues, and
vpscompass
This package helps users quickly compare virtual private server (VPS) offerings by taking a simple text input—like a list of VPS providers, their plans, or key features—and returning a structured brea
concept-extractor
A new package is designed to process complex conceptual prompts like 'Dark Enlightenment' by leveraging language models with structured pattern matching. Users provide a descriptive text input related
tp-llmatch-formatter
A new package designed to streamline content management tasks within Textpattern CMS 4.9.0. It allows users to input text-based content or instructions related to their CMS, such as article drafts, fo
debugscribe
A new package designed to assist users in understanding and resolving errors in program execution. Users can input error messages or descriptions of unexpected program behavior, and the package will u
histextractor
A new package that extracts and structures key historical facts and insights from textual descriptions of historical events, such as the Lend-Lease program during World War II. The package takes a tex
geopolitex-analyzer
A new package that processes news headlines or short text inputs related to geopolitical and defense topics, such as reports on military capabilities or international competition. It uses an LLM to ge
pre-v7-unix-summarizer
A new package that processes text input related to early Unix history (pre-V7) and returns structured, verified summaries using pattern matching and LLM interactions. It takes user-provided text (e.g.
structquery
A new package that transforms unstructured text queries into highly structured, search-optimized outputs. The package takes a user's text input, such as a search query or a description of information
techchallenge-summarizer
A new package that processes user-provided text input to generate structured summaries of technical challenges, such as the difficulty of implementing resumable LLM streaming. It uses a system prompt
vintageconsoleinfo
The system is designed to process user descriptions or inputs related to vintage gaming consoles, such as the Interton Video Computer 4000, and generate structured summaries or specifications. It focu
prophecyperfect
The system takes a brief textual description, prompt, or statement from the user and analyzes it to determine if it correctly expresses a prophetic or visionary statement in the perfect tense. Using p
nl2action
A new package designed to interpret user-submitted text descriptions, such as notices or requests related to device control or automation, and convert them into structured commands or actions. By leve
stratix-summarizer
A new package is designed to analyze and summarize business strategy narratives, investor communications, or crowdfunding campaign descriptions to extract structured insights about startup funding act
game-metr-analyzer
A new package would help users analyze and interpret game narratives or story structures, specifically focusing on the METR (Mechanics, Esthetics, Technology, and Rhetoric) plot framework used in game
tech-discriptor
A new package designed to transform technical descriptions of hardware or software solutions into structured summaries and feature lists. It takes detailed textual inputs about various systems like Ro
forgejo-bot-guard
This package helps administrators of Forgejo (or Git hosting platforms) generate clear, actionable anti-crawling measures by analyzing user-provided text inputs. When given a description of suspicious
textcurator-llm-py
A new package would process user-provided text inputs, such as headlines or short descriptions, and generate structured summaries or categorizations using an LLM. It would be particularly useful for c
textnoise-analyzer
A new package that helps users determine the noise level of their environment by analyzing text descriptions. Users input a brief text describing their surroundings, and the package processes this inp
media-summarizer
A new package designed to interpret and summarize user-provided textual descriptions of multimedia content, such as videos or audio transcripts, to generate structured overviews or insights. It allows
lifelogger-ai
A new package that helps users capture and organize their life moments in a structured way. Users can input their experiences, thoughts, or significant events, and the package will process this text t
open-spec-correct
A new package designed to streamline and automate the correction of imperfect OpenAPI specifications by analyzing user-provided textual descriptions and extracting structured insights. It processes te
taleb-analysis
A new package would provide a text input describing a system, event, or scenario, and return a structured analysis based on Nassim Taleb's concepts of Black Swan events and antifragility. It would ide
tailwind-sql
A new package that allows users to write SQL queries using a simplified, Tailwind CSS-like syntax. It takes natural language or abbreviated input from the user and converts it into valid, structured S
buslytics
A new package that processes text input to monitor and analyze the health and performance of a message bus system. It uses natural language queries to return structured insights about message throughp
textract-io
A new package designed to facilitate structured extraction of key information from scientific or factual text inputs, enabling precise summaries, data extraction, or categorization based on user promp
accessiqlue
A new package designed to take user input about accessibility challenges and generate structured summaries or actionable recommendations. It leverages advanced pattern matching with language model int
text2design
A new package that enables users to input textual descriptions of visual design, layout, or interface concepts and returns structured representations or annotations derived from the description. It le
summaryxtract
A new package is designed to facilitate structured, reliable extraction of key insights from user-provided texts about cultural topics. It accepts a text input, such as an article or discussion prompt
logistic-nlp-fitter
A new package would help users fit logistic curves to their data by interpreting textual descriptions of datasets or growth scenarios. It would take natural language input (e.g., 'I have data showing
sciextractai
A new package designed to revolutionize scientific research by enabling precise extraction and structuring of key insights from complex scientific texts. This tool focuses on domains like attoscience,
tech-sentiment-analyzer
A new package that analyzes text input to determine sentiment intensity and polarity toward specific tech CEOs or companies, returning structured scores and rankings. It uses pattern matching to ensur
sqlite-column-sentry
A new package that helps developers ensure column safety in SQLite queries by analyzing and validating their SQL statements. The package takes a user's SQL query as text input and returns a structured
verify-response
A new package enables users to provide text inputs and receive reliably structured responses that clearly present key information with confidence indicators, reducing misunderstanding and overconfiden
greeklexiconrejuvenator
A new package designed to analyze user-provided text about ancient Greek terms and generate a structured summary highlighting terms that should be revitalized in modern language. It leverages pattern
undesirablereasons
A new package that helps users extract and organize key reasons from text inputs, specifically focusing on why certain actions or outcomes might be undesirable. For example, given a text input about t
moddingtextparser
A new package is designed to analyze user-provided text questions about technical modding topics to identify key concepts, such as detecting mentions of premium checks within Android app modifications
optimistic-pessimistic-evaluator
A new package is designed to facilitate structured evaluation of a system's performance comparison between optimistic and pessimistic approaches. It takes a textual description or data snippet as inpu
rails-delegated-analyzer
A new package would help developers understand and apply the Rails Delegated Type pattern by analyzing their text-based descriptions of database relationships or use cases. It would take a user's inpu
news-summarizer
A new package designed to facilitate the generation of structured summaries and insights from user-provided news headlines or short articles. It uses pattern matching to ensure responses are consisten
perfbenchify
A new package that transforms unstructured text descriptions of software performance benchmarks into standardized, comparable metrics. Users input text descriptions of performance tests, and the packa
ai-design-insights
A new package that helps extract and structure insights from discussions about AI system design challenges. Users can input text from forums, articles, or discussions, and the package will use llmatch
structuredxtract
A new package is designed to simplify the process of extracting structured information from user-provided text inputs by leveraging a language model with pattern matching capabilities. The system prom
preact-codegen
A new package that helps developers quickly set up Preact applications without needing a complex build configuration. Users can describe their application requirements in plain text, including desired
autodeploydocker
A new package that simplifies the deployment of Docker and Docker Compose applications to servers without requiring configuration changes or causing downtime. It automates the process, making it acces
gameconcept-analyzer
A new package that processes user-submitted text descriptions of local multiplayer party game concepts and returns structured feedback or suggestions. It helps game developers or enthusiasts by analyz
vibe-analyzer
A new package that analyzes user-provided text to detect and categorize the overall emotional tone or 'vibe' of the content. It processes input text and returns a structured summary of the detected em
animtoreal
This new package enables users to input a description or details about an animated character and receive a structured summary or step-by-step plan to bring that character into the real world, such as
stackexchange-question-analyzer
The package aims to provide a structured analysis of user-generated content on platforms like Stack Exchange by determining the monthly volume of questions asked. This is useful for understanding comm
llm-securescan
A new package is designed to facilitate secure and structured user interactions with language models by analyzing and extracting specific information from user-provided text. It uses pattern matching
termdeployr-llmdeploy-stepdeploy-cliassist-deployflow-termguide-llmdeployer-deploymate-terminaldeploy-smartdeploy
A new package that helps users deploy applications by providing structured, step-by-step guidance through terminal commands. Users input their deployment goals or issues, and the package uses llmatch-
resume-yaml-builder
A new package that leverages language models to transform structured YAML data into well-formatted resume PDFs. Users provide their resume details in YAML format, and the package extracts key informat
techsummarizer
A new package is designed to analyze and summarize technical articles or announcements by extracting structured key information from user-provided text. It leverages language models to identify and or
fundingextractor
A new package that processes news headlines and extracts structured information about company funding events, such as startup names, valuation amounts, and funding rounds, using pattern matching to en
go-concise-summary
A new package would take a technical description or code snippet related to concurrency in Go and generate a structured summary of the concept, such as a fair, cancelable semaphore. It would extract k
drone-capability-parser
A new package processes textual descriptions of drone designs to extract structured summaries of their operational capabilities. It focuses on identifying and categorizing key features such as locomot
jetson-nlp-monitor
A new package that processes user queries about system performance and resource usage on Nvidia Jetson boards. It takes natural language input, such as a request for current GPU utilization or memory
luminaweaver
A new package that processes user-submitted text descriptions of images or videos containing watermarks and returns structured, watermark-free descriptions. It uses an LLM to reinterpret the content w
scamp-analyzer
A new package that analyzes user-provided text descriptions of mischievous or cleverly unconventional behavior (a 'scamp' scenario) and returns a structured assessment. It evaluates the creativity, hu
llmtestr
A new package that helps developers integration-test AI and LLM applications by validating structured outputs. It takes a user's test scenario or prompt as input, sends it to an LLM, and uses pattern
incident-summary-parser
A new package would use llmatch-messages to process text snippets about infrastructure or technical incidents and return a structured summary. It would take a user's text input, pass it to an LLM with
memoryinvestguide
A new package designed to help users navigate the volatile memory market by providing structured, long-term investment strategies. Users input their current financial situation, risk tolerance, and in
refactor-llm-analyzer
A new package designed to facilitate structured and reliable analysis of user input related to software refactoring in the context of LLM capabilities. It accepts a user's discussion or question about
vrscene-parser
A new package would process textual descriptions of virtual reality scenes or environments and return structured, validated outputs that describe the scene in a standardized format. It would use an LL
fp-associativity-analyzer
A new package that takes a user's text input about floating-point arithmetic or SIMD programming challenges and returns a structured analysis of potential associativity issues. It uses an LLM to gener
webdev-pitfall-analyzer
This package helps users identify and avoid common pitfalls in web and HTML development by analyzing text-based input—like code snippets, design descriptions, or technical discussions—and returning a
langcompare
A new package that helps developers quickly compare programming languages (Java, JavaScript, Python, Go) for a given task or context. It takes a text input describing a development scenario or require
macos-eye-care-plan
A new package designed to help users maintain healthy eye habits while using macOS devices. The package takes user input describing their daily screen usage patterns, work environment, and any existin
quantum-spec-parser
A new package designed to extract and structure key technical specifications from quantum computing research and development texts. The package takes unstructured text input describing quantum process
fractal-tictactoe-analyzer
A new package that processes user descriptions of fractal TicTacToe game states or strategies and returns structured analysis, such as identifying optimal moves, detecting winning patterns, or suggest
socialtextlytics
A new package that analyzes social media post text to extract structured insights about audience engagement patterns, such as identifying common themes in highly liked content or predicting potential
textblur-summary
A new package that takes a text description of an image and returns a structured summary of the blurring tool's features and use cases. It processes user-provided text input about the tool, such as it
ai-seo-strategist
A new package designed to streamline the extraction and organization of AI-driven SEO strategies from user inputs. Users provide a brief description or topic related to their SEO challenges or goals,
typhonlint-threadsafe
A new package that analyzes user-provided JavaScript code snippets to determine if they can run concurrently without conflicts or race conditions. It takes the code as text input and returns a structu
transitmaplint
A new package that takes user-provided text descriptions of transportation or infrastructure maps (like train networks) and returns structured feedback or improvements. It analyzes the input for key e
news-structurize
A new package that takes a news headline or short text snippet as input and returns a structured summary of the key details, such as the person involved, the event, and the financial or business impac
notifex
A new package that helps developers extract and structure notification content from iOS and Android devices for use with ClaudeCode. The package takes raw notification text as input and returns a stan
nlboard
A new package that transforms unstructured user input about project management needs into a structured Trello-like board setup. Users describe their tasks, workflows, and preferences in plain text, an
llm-structured-summary
This package would process text input, such as a research paper title or abstract snippet, and generate a structured summary of the core idea or problem addressed. It uses an LLM to interpret the inpu
budgetscribe
A new package that analyzes user-provided text descriptions of their monthly expenses and income to generate a structured affordability assessment. It categorizes spending, identifies potential saving
image-text-structurizer
A new package that processes user-provided text descriptions of images and returns structured, validated outputs using pattern matching. It ensures that the generated content adheres to a predefined f
learnify
A new package that helps software developers improve their learning strategies by analyzing their self-reported learning habits, goals, and challenges. It takes text input describing their current lea
summarix
A new package designed to process user-inputted text statements or stories and extract structured summaries or insights using a reliable language model with pattern matching and retries. It simplifies
insightminer
A new package designed to extract and structure key insights from opinionated articles or social media posts. The package takes a text input, such as a blog post or a tweet, and uses llmatch-messages
transpatter
A new package that leverages pattern matching with language models to generate structured summaries or insights from user-submitted texts about topics like train maps or other transportation issues. I
fintextract
A new package designed to extract and structure key financial and business insights from unstructured news text. The package takes raw news text as input and returns a structured summary containing th
announceexctractor
The package helps users extract key details from short announcements or descriptions. It focuses on understanding the core offering and any associated benefits presented in plain text, without needing
decentralized-summarizer
A new package that processes user input to generate structured summaries of decentralized protocol concepts, such as Polyproto, by extracting key features and benefits. It uses pattern matching to ens
projects-parser
A new package that leverages advanced pattern matching with retries to process user-submitted project titles and descriptions, extracting structured insights such as the project name, programming lang
structuredsnip
A new package that takes unstructured text input from users and returns structured, categorized feedback or suggestions. It uses pattern matching to ensure responses follow a consistent format, such a
unix4summary
A new package designed to facilitate the extraction of structured summaries or key information from user inputs related to Unix Fourth Edition. It processes textual prompts about Unix concepts, comman
techspec-extract
A new package designed to process user input descriptions of technical products or components and generate structured summaries or specifications. It leverages LLMs to interpret the input text and ext
trollmaker
A new package that allows users to input a public username or handle from social media platforms, and receives a structured, humorous roast based on publicly available information. The package uses ll
financial-parser
A new package is designed to analyze financial news headlines and extract key structured information such as company names, financial targets, timeframes, and goal updates from text inputs. It simplif
summify-release
A new package that leverages pattern-matched interactions with language models to generate structured summaries of software updates from user-provided text snippets. It focuses on extracting key featu
video-text-summarizer
A new package designed to analyze and summarize video content by processing pre-extracted textual information such as transcripts, subtitles, and descriptions. It leverages structured pattern matching
thematic-structurizer
A new package would process user-provided text input related to historical or thematic content—such as summaries, descriptions, or analyses of topics like persuasion techniques from antiquity—and retu
design-insight-builder
A new package that helps users extract and organize practical design tips from text inputs. Users can input text containing design advice, and the package will use llmatch-messages to process the info
social-insight-summarizer
A new package is designed to receive a brief description of social media activity within an organization and analyze it to generate a structured summary highlighting key trends, comparisons, and insig
rossmann-appearance-analyzer
A new package is designed to analyze user inputs related to avoiding negative or unwelcome appearances on a Louis Rossmann video. It processes the text input to identify key factors or common pitfalls
isbn-transformer
A new package that transforms raw ISBN data into structured, visualizable formats. Users input a list of ISBNs, and the package returns a well-organized, machine-readable output that can be easily vis
text-snippet-summarizer
A new package facilitates extracting a concise, structured summary from user-provided news headlines or brief texts by utilizing pattern matching and LLM interactions. This tool aims to help researche
natus-command
A new package designed to interpret user descriptions of system maintenance, backup routines, and dotfile management tasks, and convert them into structured commands or step-by-step procedures. It tak
routerflu
A new package is designed to streamline the interaction with large language models like Claude Code via OpenRouter by accepting user prompts in natural language, processing them through structured mes
cloudinsight-extractor
A new package designed to analyze and extract structured insights from user-submitted summaries or descriptions related to cloud infrastructure topics. Given an input text about a specific subject lik
cryptoschema-extractor
This system takes a textual synopsis of a cryptographic scheme and extracts a structured summary that highlights its key components, such as the types of finite fields used, the encryption process, ke
unixv4-tape-validator
A new package is designed to interpret and confirm the successful archival of Unix V4 tapes by processing user-provided text inputs. It extracts structured information indicating success or failure an
supportinsightcheck
A new package that analyzes user-submitted text descriptions of customer service or technical support interactions to identify potential red flags that could lead to public complaints or negative expo
moderatefocus
A new package that analyzes user-submitted text queries about community moderation or platform policies (like why small voting projects get flagged) and returns structured insights. It uses an LLM to
dataanalysiscompare
A new package that helps users compare and choose the right data analysis tool by providing structured, expert-level insights. Users input their specific data analysis needs, project requirements, or
finwell-analyzer
A new package designed to analyze user-submitted texts related to financial well-being by employing language models and pattern matching. The package processes the input to identify key sentiments, th
promptify-summary
A new package would process text inputs, like video titles or descriptions, to generate structured summaries using an LLM. It would take a user-provided text string (e.g., a headline or query) and ret
compario
A new package that uses large language models and pattern matching to perform structured similarity comparisons between textual content based on normalized compression distance. Users provide multiple
ai-risk-extractor
A new package designed to facilitate the extraction of structured insights from user prompts related to the domain of autonomous AI agents and their potential vulnerabilities. Given an input text desc
idea-distiller
A new package would process text inputs describing unconventional or controversial business or social initiatives, such as the 2012 program where homeless individuals were employed as mobile Wi-Fi hot
vpnfeedbacker
A new package that simplifies and structures user feedback or descriptions about VPN sign-up experiences. It takes text input from users describing their sign-up process with a VPN service, such as ea
historical-scam-summary
This package solves the problem of extracting structured, domain-specific insights from unstructured text inputs—like historical articles, research papers, or summaries—without requiring manual parsin
yearly-insights-parser
A new package that analyzes user-provided text summaries of yearly breakdowns (e.g., financial reports, project post-mortems, or performance reviews) and extracts structured insights. It uses an LLM t
ai-mysql-translator
A new package enables AI systems to securely interact with MySQL databases by translating natural language queries into structured SQL commands. It processes user text input to generate safe, validate
eventlytics-summarizer
A new package is designed to facilitate structured and reliable interactions with language models to generate concise summaries and extract key information from user-provided texts related to specific
llmatch-bm25
The new package transforms a user’s plain‑text search phrase into a structured, BM25‑ranked list of PostgreSQL search results. It takes the query text as input, forwards it to an LLM that rewrites the
giftparcelstruct
A new package that processes user-submitted text descriptions of gift-wrapped parcels and returns a structured analysis of the contents, wrapping quality, and potential surprises. It uses pattern matc
techsummly
A new package designed to facilitate structured and reliable interactions with language models for analyzing and summarizing technical discussions. Given a detailed description or excerpt of a technic
pharma-globex
A new package designed to analyze input texts related to global pharmaceutical trends, such as India's role in manufacturing generics, and generate structured summaries or insights. It leverages struc
simulacra-summarizer
A new package would provide a structured, reliable way to analyze and summarize user-provided text on topics like the simulation hypothesis, using an LLM to generate concise, pattern-validated outputs
gitstack-helper
A new package that helps developers manage and organize their Git branches and commit stacks more efficiently. It takes a description of the current branch state or a developer's intended changes as i
philosim
A new package that leverages the power of llmatch-messages to provide structured insights into complex philosophical and scientific topics, such as the simulation hypothesis. Users can input a specifi
voteclarify
A new package that processes user queries about why small voting or ranking projects get flagged as spam so easily. It uses natural language processing to understand the input and generates a structur
feedback-analyzer-mod
A new package designed to analyze and structure user-submitted text, specifically focusing on community feedback and moderation. The package leverages the capabilities of llmatch-messages to process a
text-structura
A new package that takes user-provided text input and returns structured, validated output using pattern matching to ensure consistent formatting. It processes text extracted from various sources like
textforgepy
A new package designed to transform unstructured text inputs into standardized, machine-readable outputs. This tool focuses on domains where consistency and format are critical, such as technical docu
promptxform
A new package is designed to simplify user interactions by accepting free-text prompts and providing structured, reliable responses. It leverages an underlying pattern-matching system to interpret use
text-parser-utils
A new package is designed to simplify user interactions by accepting free-text prompts and providing structured, reliable responses. It leverages an underlying pattern-matching system to interpret use
sast-secureai
Automates Software Security Analysis and Testing (SAST) by receiving user-inputted code snippets or text descriptions of functionality and returning a structured response highlighting potential securi
false-notice-analyzer
A new package designed to streamline the process of identifying, extracting, and organizing information related to false notices filed against companies like Flock and Cyble Inc. It takes user inputs
factofiction-analyzer
A new package designed to help users distinguish between factual information and imaginative interpretations. This tool takes user-provided text as input and uses advanced language models to analyze a
transword-matcher
The package uses structured pattern matching to interpret user requests for language translation, extracting the source and target languages along with the text to translate. It then returns a detaile
privacy-phone-summarizer
A new package that receives a short textual description of a phone company that deliberately avoids collecting personal data and returns a structured, machine‑readable summary (e.g., JSON) of the serv
vulntext
A new package that analyzes user-provided text to extract structured information about software security vulnerabilities. It processes natural language descriptions of code issues or security concerns
claim-vet
A new package designed to streamline the process of identifying and addressing false notices filed by companies like Flock and Cyble Inc. This tool will accept text input describing a notice or compla
narrativeparser
The package aims to help users analyze and understand nuanced narratives or statements by distinguishing between factual accounts and imaginative interpretations. Given a text input, it will process t
techupdate-extractor
A new package designed to interpret and extract structured technical insights from user-submitted hardware and software update summaries. It processes concise text inputs about hardware support change
fiction-vs-fact
The package aims to help users analyze and understand nuanced narratives or statements by distinguishing between factual accounts and imaginative interpretations. Given a text input, it will process t
updatexplorer
A new package designed to interpret and extract structured technical insights from user-submitted hardware and software update summaries. It processes concise text inputs about hardware support change
textstructify
A new package designed to transform raw text inputs into structured, meaningful outputs using advanced language models. This package leverages the capabilities of llmatch-messages to ensure that the r
privacy-idea-struct
A new package that enables users to provide simple text inputs about innovative, privacy-focused services—such as a phone company that doesn't collect personal data—and receive structured summaries or
private-concept
A new package that enables users to provide simple text inputs about innovative, privacy-focused services—such as a phone company that doesn't collect personal data—and receive structured summaries or
deal-distiller
This package aims to distill complex business and technology news into easily digestible summaries, focusing on the core implications and potential impact of mergers and acquisitions. It tackles the p
satellite-insight-extractor
A new package designed to streamline the extraction of structured insights from brief, domain-specific reports. It receives a short text input describing recent events—such as satellite incidents—and
ai-claim-essence
A new package that lets users input a short statement about AI’s societal impact and instantly receives a clear, structured summary of the core idea. By focusing on extracting the essence of the claim
secsummarize
This package processes user-provided text to generate structured summaries of security-related topics, such as incident reports or research findings, extracting key insights, vulnerabilities, and reco
nlp-structgen
Structured TextOutcome Generator: A scalable, instance-and company-specific knowledge base and language model-powered solution that uses Natural Language Processing (NLP), Machine Learning (ML) and Hu
news-summerizer
A new package that processes news headlines or short text snippets to generate structured summaries. It takes a headline or brief news text as input and uses an LLM to extract key information such as
lego-museum-structurizer
The package gives users a simple, text‑based interface for turning their free‑form imagination about a secret Lego museum into a machine‑friendly summary. A user writes a brief description of the scen
textstructparser
A new package designed to parse and structure information from unstructured text. It takes textual input and utilizes advanced language models with pattern matching to extract specific data points, en
worldcraft-sim
A new package lets users type plain text descriptions of imaginary worlds—defining rules, ecosystems, and events—and, using LLM7 and llmatch-messages, returns a structured, step‑by‑step simulation nar
llm-resource-finder
A new package that helps users discover and access the latest free LLM (Large Language Model) resources. Users can input their specific needs or interests, and the package will return a structured lis
newsstructure
A new package that takes a news headline or short text snippet as input and returns a structured summary of the key event, actors, and context, using an LLM to generate the content and pattern matchin
collabinsightextractor
A new package that processes user-provided text (such as blog posts, articles, or notes) and extracts structured insights about remote team collaboration, based on patterns learned from volunteer open
textsummarizer-llm
A new package that processes user-provided text inputs (such as headlines, descriptions, or extracted content from media) and returns structured, pattern-validated summaries using an LLM. It leverages
llmatch-struct-parser
A new package designed to enhance structured text processing by leveraging the capabilities of llmatch-messages. This package will take user-provided text as input and return a well-organized, structu
fraudincident-extractor
A new package is designed to analyze user-submitted incident descriptions related to financial frauds, scams, or cybersecurity breaches. It processes the input text to extract structured details such
ecodynalyze
A new package designed to analyze and summarize ecological studies, specifically focusing on the dynamics of species interactions. Users input text excerpts from research papers or field notes, and th
cerberus-monitor
Cerberus: A Simplified Network Monitoring Solution that Empowers Users to Extract Insightful Insights from Network Activity in Real-Time.
kafka-ops-guide
A new package that provides structured, reliable summaries of technical concepts related to Kafka operations, such as partition management. It takes user-provided text (e.g., a query about increasing
schedule-llm-query
A new package that processes user queries about event schedules, such as FOSDEM 2026, and returns structured information like session times, locations, and descriptions. It uses an LLM to interpret na
time-travel-math-parser
The package lets users input a textual description of a claim about paradox‑free time travel backed by mathematics. It then uses an LLM together with llmatch‑messages to parse the text, extract the co
architextor
A new package designed to process and interpret structured descriptions of neural network architectures from textual input. Users provide detailed text about an ANN's innate design, such as layer type
midi-structure
A new package designed to facilitate structured interactions with MIDI (Musical Instrument Digital Interface) data. This package leverages the capabilities of llmatch-messages to process text inputs r
cpp26-equality-linter
A new package that automates equality checks in C++ code by leveraging the upcoming reflection capabilities in C++26. This tool will allow developers to input C++ code snippets or class definitions, a
spotify-backup-helper
A new package that helps Spotify users securely back up their music library. By accepting simple text inputs that describe a user’s playlists, liked tracks, and saved albums, the tool generates a clea
techflops-analyzer
A new package that processes text-based news headlines or article snippets (like the one provided) and returns a structured summary of the technology flop described, including key details such as the
release-structurer
A new package designed to process and structure text inputs related to software development and release notes. The package leverages llmatch-messages to ensure that the input text is parsed and format
smartcite-site
**Problem:**
text2structured
A new package designed to transform unstructured text inputs into structured, actionable insights using advanced language models. This package leverages the capabilities of llmatch-messages to ensure
llmatch-validate
A new package designed to process and validate user inputs using advanced language models, ensuring structured and consistent responses. This package leverages the capabilities of llmatch-messages to
scadnlp
**The Package** is a specialized tool designed to bridge the gap between casual text descriptions and precise, structured 3D modeling instructions—specifically for **OpenSCAD**, the powerful yet text-
release-info-extractor
A new package that transforms free‑form software release announcements into a concise, machine‑readable summary. By feeding the raw textual description of a release (e.g., “GDB 17.1 Released with shad
StructuredFlow
A new package designed to facilitate structured, reliable interactions with language models for summarizing and analyzing user input text. It receives raw or pre-processed text data as input, applies
SecureMorph
The new package is designed to process text inputs related to advanced security concepts, such as secrets erasure upon observation. It utilizes structured pattern matching to interpret user instructio
llm7token
Utilities for validating and reporting LLM7 API tokens.
ftune
None
llmatch-messages
Reliable LLM interaction with pattern matching and retries.
langchain-llm7
A LangChain wrapper for LLM7 API
llm7
None
template-filler
None
active-request
Sliding-window active request counter (last 60s) using Redis for FastAPI or any Python app.
qa-generator-ru
None
exrex-variant-generator
None
llm-jsonl-converter
A Python package for converting unstructured text into JSONL format using LLMs.
cf-d1-manager
CF_API_TOKEN = _must_env("CF_API_TOKEN") CF_ACCOUNT_ID = _must_env("CF_ACCOUNT_ID") CF_D1_DATABASE_ID = _must_env("CF_D1_DATABASE_ID") CF_A…
whitespace-normalizer
import re def compress_whitespace(text: str) -> str: """ Collapse runs of spaces/tabs to a single space on each line, trim traili…
zwsp-linker
# init.py import re def safelink_zwsp(text: str) -> str: """ Insert zero-width spaces into URLs to prevent auto-linking and allow…
emoji-getter
import re def emoji_extract(text: str) -> str: """ Return a string that contains only emoji characters from text. Heuristic c…
github-repo-lister
a simple python function that takes ENV var GITHUB_TOKEN, and name of a user gihub and return JSON of all repositories of that github user
pdf-to-string-converter
Convert pdf to plain string (multiline if needed)
redis-init-zero
a function that recieve the key and redis connection string and then: 1. check if key doesnt exist then to create this key with value 0 2. …
py-template-expander
A simple Python library for expanding template strings with optional groups and character sets.
llm-dep-extractor
Minimal Python package: llm_dep_extractor
py-llm7-code
LLM7-powered generator that creates a minimal single-function Python package and runner from a natural-language spec.
llm-formats
Minimal llm_formats package exposing a single public function
pip-dep-extractor
Extracts 10 valid Python package names from an LLM response using llmatch.
pip-name-generator
None
task-refiner-llm
Refine unstructured briefs into implementation-ready JSON via LLM7 and llmatch.
build-pip-package
A package for building pip packages using LLM7 and related tools
readme-llm7-gen
A package for generating README.md files using LLMs
setup-py-gen
A package generated from provided source code and metadata.
hashkv
Async get/set helpers for string values under hashed Redis keys (with TTL).
hashcounter
Atomic per-string counter with sliding TTL in Redis (async).
cf-hash-cache
None
atrain
None
py-context-llm7
Minimal Python client for https://api.context.llm7.io
findora
Search engine
llm7-image
Tiny helper that calls the LLM7 image-generation endpoint and returns the final image URL.
llm7-validator
Validator for LLM7 chat completion requests with Pydantic and model ID constraints.
tokeniser
None
project-scanner
A Python package to scan project directories and files batch by batch.
ProjectCodebaseToJsonl
A package to convert project codebases into JSONL format for GPT model training.
beatrica-git
A Python package for analyzing git differences between branches in a local repository.
beatrica-embedding
A Python package for embedding and analyzing code changes in git repositories.
base-agent
An abstract base class for building various agent-based systems.
TaskDetailsExtractor
Extract detailed tasks for software project modification using GPT from OpenAI.
TextToVector
A package to convert text into embedding vectors using Hugging Face models.
EmbedMan
A tool for managing embeddings for code analysis
MistralGPTIntegration
Integration utility for Mistral AI API to provide GPT-based functionalities.
get-gitlab-issues
A Python package for extracting issues from GitLab repositories.
TaskFeasibilityAnalyzer
A Python package to determine the feasibility of coding tasks using GPT-3.
FileChunkCRUD
Python package for CRUD operations on large files in chunks.
ProjectStructoR
A tool for detecting project structure and technology stack with the help of GPT.
etoile-pixtral-safety
None
etoile-pixtral-description
None
etoile-insights
None
etoile-graph
None
etoile-generate
None
osarch
Detect system OS and architecture.
penelopa-dialog
Penelopa Dialog for managing and coordinating tasks
clarifyquestgen
Clarifying Questions Generator for task refinement
ChromeFetcher
Automatically fetches and downloads the appropriate Chrome version based on OS and architecture.
tube-scriptor
A package for generating transcripts from YouTube videos in various formats
code-annotator
A tool to annotate code using the LLM7.io
imgwizard
Simple image resizing and caching using wsrv.nl service
text2pix
A library to generate images from text descriptions.
LngDetectoR
A tool to detect programming languages in a directory.
gpt4all-code-review
A self-contained tool for code review powered by GPT4ALL.
beatrica
Beatrica is a tool for code review automation using large language models.
eknowledge
A Python package for executing graph generation from textual inputs.
FrameStory
A Python package for creating video descriptions by analyzing and extracting significant frames.
FolderScanner
Scan directories, apply ignore rules, and chunk file contents.
mdextractor
Extract Markdown code blocks from text strings.
llmatch
Reliable LLM interaction with pattern matching and retries.
validated-chat
A package to generate and validate chat responses with retry logic.
JsonExtractor
A tool for extracting valid JSON from LLM responses
github-comment-bot
None
gitlab-comment-bot
None
opai2
None
HugBot
Automated interactions with Hugging Face Chat using Selenium
penelopa
Penelopa: AI-driven codebase modifier using OpenAI GPT models
pip-author-stats
A tool to generate statistics report for PyPI authors
CodebaseLister
A package to list and document the contents of codebases, optionally using .gitignore rules.
GPTIntegration
A module for integrating various GPT models for diverse tasks.
BulkFileOperationsManager
Python package for managing bulk file CRUD operations.
llm-loop
A utility package for querying language models with pattern matching and retry logic
gpt4all-tone
A comprehensive tool for sentiment analysis and tone review, empowered by GPT4ALL.
