quality-gate
Strict validator. Runs format, lint, types, and build checks via script.
Découvrez les skills blockchain code quality, comparez leurs dépôts et consultez leurs instructions.
Strict validator. Runs format, lint, types, and build checks via script.
Update CLAUDE.md or rules when patterns of errors emerge
Analyze codebase statistics with tokei (line counts by language) and difft (semantic AST-aware diffs). Use for project composition, refactoring scope, codebase metrics.
Fix errors caused by corrupted rsls* files. Use when any operation fails mentioning rsls* files (e.g., "bad object *.rslsc", "missing *.rslsd", file not found *.rsls*).
Python tooling conventions for this organization. Use when working with Python projects, fixing linting issues, or managing dependencies.
Run linters after code changes to verify code quality. Use this skill after completing code modifications to catch and fix any linting issues.
Testing strategies, patterns, and best practices across test types. Auto-triggers when writing tests, setting up test infrastructure, or improving test coverage.
Review and lightly edit a single blog post under _posts/ for prose quality and source hygiene, without changing code examples or post structure.
Perform comprehensive code reviews with actionable feedback. Use when reviewing pull requests, checking code quality, analyzing changes, or when the user mentions "review", "PR", "pull request", "check code", "...
Perform comprehensive code reviews with actionable feedback. Use when reviewing pull requests, checking code quality, analyzing changes, or when the user mentions "review", "PR", "pull request", "check code", "...
This skill should be used when reviewing test code, the user asks "is this test good", "test quality", "mock properly", or when tests behave unexpectedly. Identifies common testing mistakes.
This skill should be used when the user asks to "refactor shell script", "fix bash style", "review shell code", "apply Google style guide", "improve shell script", mentions "shellcheck", or discusses bash/shell...
This skill should be used when the user asks for "defensive coding", "input validation", "prevent bugs", "multiple validation layers", or when fixing bugs caused by invalid data reaching deep execution. Validat...
Perform systematic code review following {{sharedLib}}/{{projectName}} HMI standards and best practices. Use when reviewing pull requests, checking code quality, or validating implementations before commit. Che...
Review functional area and component documentation to check that it adheres to repo standards.
Review a feature/component documentation to check that it adheres to repo standards.
Run analyzer MCP tools (Ruff + optional dead-code scan) as a quality gate before QA/UAT/release.
Automated code review for pull requests using specialized review patterns. Analyzes code for quality, security, performance, and best practices. Use when reviewing code changes, PRs, or doing code audits.
コンポーネントのディレクトリ構成、ファイル命名、コロケーション、およびインポート・エクスポートの規則を監査・矯正します。
Self-review after code changes. Use proactively after completing any code modifications, before creating a pull request. Runs tests, checks code quality, and validates changes.
Expert code review skill for auditing code quality, security, performance, and maintainability. Use when (1) reviewing pull requests or code changes, (2) auditing existing code for issues, (3) validating code b...
Review and fix docstrings to follow Google-style conventions. Use when asked to check docstrings, format docstrings, or lint docstrings.
Review code for regressions, duplications, and spec compliance. Use after completing significant implementations, or when asked to verify work. Can be invoked proactively after major changes.
Enforce 500-line file size limits. Warn at 400 lines. Guide splitting large files into focused modules. Apply when writing or editing code.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.