Skip to main content

Your career intelligence companion — coding challenges, job matching, and market signals

Project description

skilark

Your career intelligence companion. Skilark delivers daily coding challenges, market signals, and job search — all based on what employers actually look for.

Available on the command line and Telegram.

Install

pip install skilark

Requires Python 3.11+.

Quick start

skilark              # launch the TUI
skilark today        # jump straight into a challenge
skilark fit "backend engineer python"  # find matching jobs
skilark signals      # this week's market intelligence
skilark status       # see your streak and progress
skilark config       # change your topics
skilark link         # link to your Telegram account

On first run, pick the topics you want to sharpen — Python, Go, Kubernetes, System Design, and 30+ more. Then run skilark to launch the full-screen TUI.

What's inside

  • Drill — Quiz topics and coding problems side by side. Track progress and accuracy per topic. Solve LeetCode-style problems in an inline editor with Ctrl+R to run tests locally.
  • Market Signals — 2,500+ weekly signals: hiring surges, WARN Act filings, salary insights, and company news.
  • Find My Fit — Semantic job search across 50,000+ listings. Salary ranges, summaries, and one-click open.
  • Profile — Set your role, language, career direction, and self-description to personalize job search results.

Keyboard shortcuts

Key Action
1-4 Switch tabs (Drill, Signals, Jobs, Profile)
t Cycle themes (20+ built-in)
/ Filter current view
o Open URL in browser
qq Quit
? Help

Cross-platform

Use skilark link to connect your CLI and Telegram accounts. Your streak and progress sync across both.

Changelog

0.5.15

  • Self-description field in Profile — used to personalize job search results
  • Signals sorted newest-first by timestamp
  • Drill UI refinement — side-by-side browser, session persistence

0.3.4

  • Running skilark with no arguments now shows an interactive menu
  • All commands discoverable without reading docs

0.3.3

  • Improved skilark fit output — shows title, company, and location for each match
  • Results sorted by relevance

0.3.2

  • Security hardening for config file handling and API communication

0.3.1

  • Added skilark fit command — find matching jobs by description or resume upload
  • Compact and detailed output modes (--detail)

0.3.0

  • Added skilark signals command — weekly market intelligence (hiring surges, salary insights)
  • Use --all to see every signal

0.2.0

  • Added Telegram bot integration
  • New skilark link command to connect CLI and Telegram accounts
  • Synced streaks and progress across platforms

0.1.0

  • Initial release — interactive challenges, streaks, adaptive difficulty

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

skilark-0.5.22.tar.gz (135.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

skilark-0.5.22-py3-none-any.whl (72.4 kB view details)

Uploaded Python 3

File details

Details for the file skilark-0.5.22.tar.gz.

File metadata

  • Download URL: skilark-0.5.22.tar.gz
  • Upload date:
  • Size: 135.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for skilark-0.5.22.tar.gz
Algorithm Hash digest
SHA256 32d84ddb7875821bb45252915917eabd07b2b247c2ae2e91836f1b684445cb30
MD5 ff6ecc5d5b6a7326cd28bfea96fe5f5b
BLAKE2b-256 5b7e780df2c3462de449954b52bcfea932953d9294bb0be494664d51be6f8df0

See more details on using hashes here.

Provenance

The following attestation bundles were made for skilark-0.5.22.tar.gz:

Publisher: deploy.yml on yiliangzhou/skilark

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file skilark-0.5.22-py3-none-any.whl.

File metadata

  • Download URL: skilark-0.5.22-py3-none-any.whl
  • Upload date:
  • Size: 72.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for skilark-0.5.22-py3-none-any.whl
Algorithm Hash digest
SHA256 5f2ee55eb12ff5cd3dd914c9c5c5b9ca047e4c4ee2e2b3d96d1cda15595126ce
MD5 15174d3c2a40b7788f4ed71236afb109
BLAKE2b-256 751b8696ac4a85af4113f9145e9c27ffc583b6218f5de47d2044373ed53acb3e

See more details on using hashes here.

Provenance

The following attestation bundles were made for skilark-0.5.22-py3-none-any.whl:

Publisher: deploy.yml on yiliangzhou/skilark

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page