python-clean-code
Skill0 starsChanged 57 days agoMITView on GitHub
Use when writing, fixing, editing, reviewing, or refactoring any Python code. Enforces Robert Martin's complete Clean Code catalog—naming, functions, comments, DRY, and boundary conditions.
- Installs packages
8 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- ramybarsoum/claude-skillsword for word, first seen Oct 13, 2026
- dathuynh1108/agent-skillstheir own version, first seen Oct 11, 2026
- FlorianBruniaux/google-search-console-mcptheir own version, first seen Oct 10, 2026
- Praveensenpai/karakuritheir own version, first seen Sep 13, 2026
- CasLubbers/code-design-skillsedited, first seen Aug 25, 2026
- jenreh/appkittheir own version, first seen Jul 8, 2026
Other versions8 projects use a version of this.
Word for word · 2
- ertugrul-dmr/clean-code-skills★ 193100% same
- ramybarsoum/claude-skills★ 0100% same
Edited · 1
- CasLubbers/code-design-skills★ 289% same
Wrote their own version · 5
- FlorianBruniaux/google-search-console-mcp★ 22same name
- dathuynh1108/agent-skills★ 4same name
- jenreh/appkit★ 4same name
- JoseVelazcoH/python-skills★ 0same name
- Praveensenpai/karakuri★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository28 other files it gives its agents.
- AGENTS.mdAGENTS.md
- docs/AGENTS.mdAGENTS.md
- adapt-to-projectSkill
- author-briefSkill
- author-delivery-briefSkill
- boy-scoutSkill
- bug-fixSkill
- capture-workSkill
- clean-commentsSkill
- clean-functionsSkill
- clean-generalSkill
- clean-namesSkill
- clean-testsSkill
- close-workSkill
- contract-acquisitionSkill
- init-projectSkill
- intake-intentSkill
- memex-implementationSkill
- new-specSkill
- operational-safetySkill
- project-knowledgeSkill
- receive-briefSkill
- security-checklists-referenceSkill
- security-checklistsSkill
- work-intakeSkill
- work-loopSkill
- workspace-statusSkill
- definition-of-doneSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 0 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 128
When reviewing code, identify violations by rule number (e.g., "G5 violation: duplicated logic").
- Very specific: line 129
When fixing or editing code, report what was fixed (e.g., "Fixed: extracted magic number to SECONDS_PER_DAY (G25)").
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Clean Python: Complete Reference
Enforces all Clean Code principles from Robert C. Martin's Chapter 17, adapted for Python.
Comments (C1-C5)
- C1: No metadata in comments (use Git)
- C2: Delete obsolete comments immediately
- C3: No redundant comments
- C4: Write comments well if you must
- C5: Never commit commented-out code
Environment (E1-E2)
- E1: One command to build (
pip install -e ".[dev]") - E2: One command to test (
pytest)
Functions (F1-F4)
- F1: Maximum 3 arguments (use dataclasses for more)
- F2: No output arguments (return values)
- F3: No flag arguments (split functions)
- F4: Delete dead functions
General (G1-G36)
- G1: One language per file
- G2: Implement expected behavior
- G3: Handle boundary conditions
- G4: Don't override safeties
- G5: DRY - no duplication
- G6: Consistent abstraction levels
- G7: Base classes don't know children
- G8: Minimize public interface
- G9: Delete dead code
- G10: Variables near usage
- G11: Be consistent
- G12: Remove clutter
- G13: No artificial coupling
- G14: No feature envy
- G15: No selector arguments
- G16: No obscured intent
- G17: Code where expected
- G18: Prefer instance methods
- G19: Use explanatory variables
- G20: Function names say what they do
- G21: Understand the algorithm
- G22: Make dependencies physical
- G23: Prefer polymorphism to if/else
- G24: Follow conventions (PEP 8)
- G25: Named constants, not magic numbers
- G26: Be precise
- G27: Structure over convention
- G28: Encapsulate conditionals
- G29: Avoid negative conditionals
- G30: Functions do one thing
- G31: Make temporal coupling explicit
- G32: Don't be arbitrary
- G33: Encapsulate boundary conditions
- G34: One abstraction level per function
- G35: Config at high levels
- G36: Law of Demeter (no train wrecks)
Python-Specific (P1-P3)
These adapt the Java-specific rules (J1-J3) to Python conventions:
- P1: No wildcard imports (
from x import *) — opposite of Java, per PEP 8 - P2: Use Enums, not magic constants — same principle as J3
- P3: Type hints on public interfaces — Python's equivalent of Java's static typing
Names (N1-N7)
- N1: Choose descriptive names
- N2: Right abstraction level
- N3: Use standard nomenclature
- N4: Unambiguous names
- N5: Name length matches scope
- N6: No encodings
- N7: Names describe side effects
Tests (T1-T9)
- T1: Test everything that could break
- T2: Use coverage tools
- T3: Don't skip trivial tests
- T4: Ignored test = ambiguity question
- T5: Test boundary conditions
- T6: Exhaustively test near bugs
- T7: Look for patterns in failures
- T8: Check coverage when debugging
- T9: Tests must be fast (< 100ms each)
Quick Reference Table
| Category | Rule | One-Liner |
| Comments | C1 | No metadata (use Git) |
| C3 | No redundant comments | |
| C5 | No commented-out code | |
| Functions | F1 | Max 3 arguments |
| F3 | No flag arguments | |
| F4 | Delete dead functions | |
| General | G5 | DRY—no duplication |
| G9 | Delete dead code | |
| G16 | No obscured intent | |
| G23 | Polymorphism over if/else | |
| G25 | Named constants, not magic numbers | |
| G30 | Functions do one thing | |
| G36 | Law of Demeter (one dot) | |
| Names | N1 | Descriptive names |
| N5 | Name length matches scope | |
| Tests | T5 | Test boundary conditions |
| T9 | Tests must be fast |
Anti-Patterns (Don't → Do)
| ❌ Don't | ✅ Do |
| Comment every line | Delete obvious comments |
| Helper for one-liner | Inline the code |
from x import * | Explicit imports |
Magic number 86400 | SECONDS_PER_DAY = 86400 |
process(data, True) | process_verbose(data) |
| Deep nesting | Guard clauses, early returns |
obj.a.b.c.value | obj.get_value() |
| 100+ line function | Split by responsibility |
AI Behavior
When reviewing code, identify violations by rule number (e.g., "G5 violation: duplicated logic").
When fixing or editing code, report what was fixed (e.g., "Fixed: extracted magic number to SECONDS_PER_DAY (G25)").
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
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- It didn't
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

