mastering-python-skill

96
A

Modern Python coaching covering language foundations through advanced production patterns. Use when asked to "write Python code", "explain Python concepts", "set up a Python project", "configure Poetry or PDM", "write pytest tests", "create a FastAPI endpoint", "process data with pandas", or "debug Python errors". Triggers on "Python best practices", "type hints", "async Python", "packaging", "virtual environments", "Pydantic validation".

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#Verify#Python#requirements.txt#Smoke#Validation#Patterns#Domain#Test

Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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skilz install SpillwaveSolutions/mastering-python-skill-plugin/mastering-python-skill
skilz install SpillwaveSolutions/mastering-python-skill-plugin/mastering-python-skill --agent opencode
skilz install SpillwaveSolutions/mastering-python-skill-plugin/mastering-python-skill --agent codex
skilz install SpillwaveSolutions/mastering-python-skill-plugin/mastering-python-skill --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/SpillwaveSolutions/mastering-python-skill-plugin
2. Copy the agent skill directory:
cp -r mastering-python-skill-plugin/skills/mastering-python-skill ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

Related Agentic Skills

Agentic Skill Details

Type
Other
Meta-Domain
Primary Domain
Market Score
96

Agent Skill Grade

A
Score: 96/100 Click to see breakdown

Score Breakdown

Spec Compliance
15/15
PDA Architecture
27/30
Ease of Use
22/25
Writing Style
9/10
Utility
17/20
Modifiers: +6

Areas to Improve

  • Reference files missing TOCs
  • Missing workflow examples
  • Corpus path references external

Recommendations

  • Add trigger phrases to description for discoverability
  • Add table of contents for files over 100 lines

Graded: 2026-01-19

Developer Feedback

I took a look at your mastering-python-skill and wanted to share some thoughts.

Links:

The TL;DR

You're at 96/100 — that's solid A-grade territory. This is graded against Anthropic's skill best practices, and your strongest area is Spec Compliance (15/15 — literally perfect there). The PDA architecture is really clean too at 27/30. The gaps are small: missing TOCs in reference files and a couple of workflow examples that would push this even higher.

What's Working Really Well

  • Spec Compliance is locked in — Your YAML is valid, naming conventions are correct (hyphen-case), and your description nails the trigger coverage with phrases like 'write Python', 'pytest', 'FastAPI', 'async', 'Pydantic'. That's exactly what discoverability looks like.

  • Token economy is tight — SKILL.md stays lean at 117 lines while your 4 reference files pack 45 chapters of Python depth. You're not making people load everything; they get the nav first, then drill into what they need. That's Progressive Disclosure done right.

  • Triggers are really solid — You've got 6+ trigger phrases covering the real work developers do. That means Claude agents will actually find this when they need it.

  • Quality validation checklist — The Quickstart Checklist with smoke tests and the validation patterns table give people a way to verify their work. That's practical.

The Main Issue

Your reference files need Tables of Contents. Right now, files like part1-chapters.md and advanced-python.md run 150-236 lines with no TOC, so someone reading a reference file has to scroll through to find what they're looking for.

The fix: Add a simple ## Contents section at the top of e...

AI-Detected Topics

Extracted using NLP analysis

Verify Python requirements.txt Smoke Validation Patterns Domain Test REST FastAPI

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