promptary-cli 1.3.1

CLI to retrieve prompt blueprints from the Promptary API

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Promptary

AI Prompt Knowledge Library for Data Science & Machine Learning

Promptary is a collaborative platform and premium prompt blueprint library built specifically for Data Scientists, Machine Learning Engineers, and AI practitioners.

It works as a prompt engineering workspace where professionals can discover, optimize, organize, reuse, and share high-quality AI workflows for real-world data projects.

From exploratory analysis to model development and debugging, Promptary helps teams transform scattered AI interactions into reusable engineering assets.

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🧠 Promptary Skills System

Promptary includes an intelligent Skills System for AI agents. The Orchestrator skill analyzes your question, delegates to the right specialist skill, and surfaces relevant blueprints.

# List available skills
promptary skill list

# Show skill details
promptary skill info "Machine Learning"

# Install a skill (activate in your agent environment)
promptary skill install orchestrator

# Analyze a question — Orchestrator detects intent & finds blueprints
promptary analyze "mi modelo de ML tiene overfitting"
promptary analyze "mi consulta SQL es muy lenta" --json

# Generate skill.json manifest for AI agent integration
promptary skill manifest orchestrator

Available skills:

Skill	Role
Exploratory Data Analysis	Expert in EDA, patterns, correlations & profiling
Data Cleaning	Expert in missing values, outliers & normalization
Machine Learning	Expert in model selection, training & optimization
Data Visualization	Expert in charts, dashboards & storytelling
SQL & Databases	Expert in queries, optimization & schema design
Python Utilities	Expert in scripting, debugging & automation

Each skill queries the Promptary catalog and returns relevant blueprints for your task.

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🛠️ Installation & Usage

Promptary provides multiple ways to access and integrate prompt blueprints into your AI workflows.

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📦 Install Promptary CLI

Install the official Python CLI tool:

pip install promptary-cli

Or install directly from the repository:

git clone https://github.com/promptary/promptary.git
cd promptary
pip install .

Verify the installation:

promptary --version

The CLI uses https://promptary-cli-cr.xyz as the default API endpoint. Override it at runtime with the PROMPTARY_API_URL environment variable:

PROMPTARY_API_URL=https://custom-domain.com promptary pull p_1

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🚀 Retrieve a Prompt Blueprint

Each Promptary blueprint has a unique identifier.

Example:

p_1

You can retrieve any blueprint dynamically using the Promptary CLI or API.

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💻 Using Promptary CLI

Pull a blueprint directly from Promptary:

promptary pull p_1

This retrieves the latest version of the prompt template.

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🐍 Using Python

Blueprints can be loaded directly into Python workflows:

import requests

prompt_id = "p_1"

url = f"https://promptary-cli-cr.xyz/api/prompts/{prompt_id}/raw"

response = requests.get(url)
response.raise_for_status()

prompt_template = response.text

print("Loaded blueprint prompt successfully!")
print(prompt_template[:120] + "...")

Example output:

Loaded blueprint prompt successfully!

You are an expert Data Scientist specialized in...

Useful for:

• Jupyter Notebooks
• AI agents
• automation scripts
• ML workflows

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🌐 Using cURL

Retrieve the raw prompt directly from the API:

curl -s "https://promptary-cli-cr.xyz/api/prompts/p_1/raw"

The API returns the blueprint as plain text.

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🔌 Integration Workflow

Promptary blueprints can be integrated into:

• Python applications
• Data Science pipelines
• AI agents
• LLM automation workflows
• Internal developer tools

The goal of Promptary is to make AI workflows:

• reusable
• versioned
• shareable
• easy to integrate

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📚 Example Use Case

A Data Scientist can:

1. Discover a blueprint in Promptary.
2. Pull it using the CLI or API.
3. Customize the workflow.
4. Integrate it into a notebook or production pipeline.
5. Share improvements back with the community.

Promptary turns AI prompts into reusable engineering assets.

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🎨 Design Philosophy

Promptary is designed for long technical sessions, combining a professional developer experience with a modern AI-native interface.

Premium Dark Interface

A focused dark environment built with deep grayscale and slate tones, enhanced with subtle purple and emerald accents.

Developer-Focused Typography

A refined typography system combining:

• Sans-serif fonts for readability and navigation.
• Mono fonts (JetBrains Mono) for:
  • code snippets
  • commands
  • technical metadata
  • development indicators

Smooth Interaction

Polished animations, transitions, and responsive components create a fluid experience optimized for productivity.

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🚀 Core Features

1. Prompt Blueprint Library

A structured catalog of high-quality AI workflows organized around key Data Science domains.

Exploratory Data Analysis (EDA)

Prompts designed to accelerate:

• dataset understanding
• pattern discovery
• statistical exploration
• visualization workflows

Data Cleaning

Reusable workflows for:

• missing value handling
• anomaly detection
• outlier analysis
• data normalization

Machine Learning & Modeling

Prompt architectures for:

• model experimentation
• hyperparameter optimization
• pipeline design
• evaluation strategies

Debugging & Development

AI-assisted troubleshooting for:

• Python
• SQL
• PyTorch
• ML pipelines
• complex errors

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2. Collaborative Prompt Ecosystem

Inspired by modern software development workflows.

Fork System

Users can clone existing prompt blueprints and customize them for their own projects.

Each fork maintains:

• original structure
• modifications
• contributor ownership
• evolution history

Turning prompts into reusable community-driven assets.

Community Publishing

Professionals can publish their own workflows with:

• author information
• role
• tags
• professional links
• technical context

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3. Cloud Architecture & Data Persistence

Promptary combines cloud synchronization with local performance.

Authentication

Secure developer authentication powered by Firebase Google Auth.

Ensures:

• personalized libraries
• user profiles
• contribution ownership

Cloud Database

Real-time synchronization using Cloud Firestore.

Features:

• persistent prompt storage
• community contributions
• scalable data structure
• secure access rules

Personal Library

Users can save favorite prompts locally for fast access through a personalized collection.

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4. AI Development Utilities

Each prompt blueprint includes a detailed inspection environment.

Code Integration Snippets

Generate ready-to-use examples for:

• Python API calls
• modern AI SDKs
• pip installation commands
• curl requests

Designed for direct integration into:

• Jupyter Notebooks
• development environments
• terminal workflows

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5. Community Ranking System

Promptary uses interaction signals to surface valuable workflows.

Users can provide feedback through:

• 👍 Likes
• 👎 Dislikes

Helping identify:

• trending prompts
• high-performing workflows
• community favorites

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Vision

Promptary aims to become the GitHub for AI prompts in Data Science: a place where professionals build, share, improve, and reuse AI knowledge instead of starting from zero every time.