Agent skill · AI & Agents

sniffable-python

Structure Python so LLMs can understand it in 50 lines.

majiayu000github.com/majiayu000GitHub ↗
claude-coderead-onlyMIT
Install
npx skills add majiayu000/claude-skill-registry --skill sniffable-python-simhacker-moollm --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 24 KB
Bundled scripts: none
Allowed tools: -read_file-write_file
Path: skills/ai-llm/sniffable-python-simhacker-moollm/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Sniffable Python > **"Structure code for the first 50 lines. That's all the LLM needs."** Don't invent new syntax — **structure existing syntax** for optimal LLM comprehension. *If your code smells good, the LLM can sniff it from the first whiff.* *Steve Jobs wanted pixels you could lick. We want code you can sniff.* --- ## The Problem LLMs can read Python. But: - Large files overwhelm context - Implementation details bury the API - Comments scattered or missing - No clear entry point for understanding **Solution:** Structure Python so the first ~50 lines contain everything needed to understand and use the tool. Make your code's bouquet apparent from the opening notes. --- ## The Pattern ### Canonical Structure ```python #!/usr/bin/env python3 """skill-name: Brief description of what the script does. This docstring becomes --help output AND is immediately visible to the LLM. It should contain: - Purpose (one sentence) - Usage examples - Key behaviors Usage: python script.py command [options] Examples: python script.py move north --quiet python script.py examine sword --verbose """ import argparse from pathlib import Path import yaml # Configuration DEFAULT_ROOM = "start" VALID_DI

What's inside
Steps it walks through
  1. The Problem
  2. The Pattern
  3. Canonical Structure
  4. The Zones
  5. Why This Works
  6. Dual-Audience Design
  7. DRY Principle
  8. Why Syntax Compression Fails
  9. The Symbol Collision Problem
  10. Comprehension Fidelity > Token Count
  11. Comments as YAML Jazz
  12. Comments: Substance Over Decoration
  13. Argparse vs Click vs Typer
  14. The Argparse Advantage
Ships with 1 file
  • metadata.json
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About this skill
What does the sniffable-python skill do?

Structure Python so LLMs can understand it in 50 lines.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill sniffable-python-simhacker-moollm --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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