fix-python-quality
Fix Ruff formatting and lint errors in an explicit Python file or directory scope.
Skill by peoxin
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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codeload.github.com· found in install command
Files it touches
~/.claude/skills/fix-python-quality
What's inside
- Skill name
fix-python-quality- Description
- Fix Ruff formatting and lint errors in an explicit Python file or directory scope. Use when a user asks to format, lint-fix, or repair Ruff quality failures in a uv project.
- License
- MIT
- Instructions
- 30 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# Fix Python Quality Repair Ruff formatting and lint failures inside one selected scope. Assume the project owns its configuration; do not configure tools, run tests, or change behavior to satisfy a style rule. ## Select The Scope Require the caller to provide an explicit Python file or directory scope. If no scope is provided, stop and ask the user or calling skill to identify the files or directory. ## Require Ruff Run `uv run ruff --version`. If the command fails, stop and report that Ruff is unavailable. Accept uv creating or synchronizing the environment and updating the lockfile during this command. ## Repair And Verify Run these commands in order with the exact selected paths: ```text uv run ruff check --fix <scope> uv run ruff format <scope> uv run ruff check <scope> uv run ruff format --check <scope> ``` Continue through all four commands when Ruff reports lint or formatting failures. Stop immediately when a command cannot start, the scope is invalid, or Ruff cannot parse the project configuration. If lint failures remain, repair the Ruff-reported problems manually inside the selected scope while preserving behavior and public interfaces, then rerun the complete command sequence. Stop and report the unresolved failures when a repair would change behavior or a public interface, touch files outside the scope, or require an uncertain suppression. Report the selected scope, changed files, every command result, remaining failures, and any uv-created environment or lockfile changes.
From peoxin/skills, MIT.
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- 0.524score
improve-python-documentation
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Improve docstrings and comments in an explicit Python file or directory scope after implementation is complete.
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define-dataset
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Define a self-contained, reusable Dataset component, including its source revision and the rules that derive usable inputs.
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define-experiment
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Define one concrete PyTorch Experiment with selected component paths, phases, configuration or custom phase code, and outputs, without executing it.
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define-benchmark
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Define a reusable Benchmark component that evaluates model behavior with selected Dataset derivations, quantitative metrics, and qualitative visualizations.
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add-references
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Acquire user-selected research materials from direct sources and create co-located Reference records with artifact provenance.
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analyze-references
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Analyze selected Reference records and their artifacts with evidence locators, implementation details, limitations, comparisons, and review-ready synthesis.
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search-references
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Search papers, code, datasets, documentation, and other research materials, then hand selected sources to add-references.
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define-model
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Define and implement a self-contained, reproducible PyTorch model component from an aligned model design.
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initialize-python-project
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Initialize the current directory as a uv-managed Python project with the preferred configuration.
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integrate-pytorch-lightning
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Implement PyTorch Lightning within one already aligned Model or Experiment contract.
SkillBFreshness: BClaude Code +9 - 0.518score
write-report
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Draft an evidence-linked report or paper from Reference analyses and experiment results without submission workflows.
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run-experiment
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Run the phases declared by a fixed Experiment.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 20, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/peoxin/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.524score
improve-python-documentation
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Improve docstrings and comments in an explicit Python file or directory scope after implementation is complete.
SkillBFreshness: BClaude Code +9 - 0.521score
define-dataset
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Define a self-contained, reusable Dataset component, including its source revision and the rules that derive usable inputs.
SkillBFreshness: BClaude Code +9 - 0.521score
define-experiment
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Define one concrete PyTorch Experiment with selected component paths, phases, configuration or custom phase code, and outputs, without executing it.
SkillBFreshness: BClaude Code +9 - 0.521score
define-benchmark
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Define a reusable Benchmark component that evaluates model behavior with selected Dataset derivations, quantitative metrics, and qualitative visualizations.
SkillBFreshness: BClaude Code +9 - 0.521score
add-references
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Acquire user-selected research materials from direct sources and create co-located Reference records with artifact provenance.
SkillBFreshness: BClaude Code +9 - 0.521score
analyze-references
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Analyze selected Reference records and their artifacts with evidence locators, implementation details, limitations, comparisons, and review-ready synthesis.
SkillBFreshness: BClaude Code +9
Cite this page
fix-python-quality skill. Agent Mart. https://agentmart.dev/skills/peoxin-fix-python-quality (last updated 2026-10-24)