GitHub
code-reviewer
Use this agent when you have written or modified code and need a comprehensive review for quality, security, and maintainability. This agent should be used proactively after completing any coding task, whether...
Skills IA blockchain code quality
Découvrez les skills blockchain code quality, comparez leurs dépôts et consultez leurs instructions.
Catégories: blockchain code quality
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Explorer
GitHub
reviewing-code
Provides concise, focused code reviews matching exact task complexity requirements. Use when reviewing code quality, security, or when the user asks for code review.
GitHub
code-review
Comprehensive code review using senior developer standards (YAGNI, DRY, avoiding god classes, data-driven architecture)
GitHub
quality-gates
Code quality and CI requirements. Auto-triggered when discussing commits, PRs, or quality.
GitHub
foundry-review
Review implementation fidelity against specifications by comparing actual code to spec requirements. Identifies deviations, assesses impact, and generates compliance reports for tasks, phases, or entire specs.
GitHub
reviewing-code
Code review workflow for evaluating changes against standards. Use when reviewing pull requests, commits, or diffs.
GitHub
typescript
TypeScript/JavaScript standards for type-safe, maintainable code.
GitHub
writing
Clear writing standards based on Zinsser's principles. Use for documentation, commit messages, PR descriptions, and technical communication.
GitHub
convex-review
Comprehensive Convex code review checklist for production readiness. Use when auditing a Convex codebase before deployment, reviewing pull requests, or checking for security and performance issues in Convex fun...
GitHub
code-review
Review code for quality, security, and best practices
GitHub
validate-project
Run full CI validation for the current project directory
GitHub
review-repo
リポジトリ全体を構造、コード品質、テスト、ドキュメントの観点から体系的にレビューし、優先度付きの改善レポートを生成する
GitHub
lint
RuffとMyPyを使用してコード品質をチェックする
GitHub
coding-standards
This skill should be used when writing code, creating components, or implementing features. It provides the 23 essential coding standards that must be followed for every piece of code, ensuring scalable, effici...
GitHub
development-best-practices
Core development principles including anti-hallucination, anti-hardcoding, error handling, logging, testing, and security standards. Use during feature design, implementation, and code review to ensure code qua...
GitHub
qodana-local-review
PREFERRED METHOD for Qodana scans. Always delegate to local-qodana-reviewer sub-agent when user mentions Qodana, code quality scan, static analysis locally, or requests to run Qodana. Do NOT run qodana commands...
GitHub
pre-pr-review
Use when the user asks for a local CodeRabbit review before creating a pull request. Delegates to the specialized local-coderabbit-reviewer sub-agent to run the scan, analyze results, present a plan for fixes,...
GitHub
code-quality-standards
This skill should be used when the user asks about "code quality", "formatting", "linting", "lint rules", "code style", "error handling", "unsafe code", "documentation comments", "doc comments", "rustfmt", "pre...
GitHub
code-review
Self-review code changes before commit to ensure quality
GitHub
security-check
Protects critical files and detects hardcoded secrets before risky edits. Use when "security check", "audit my settings", "check for secrets", before editing .zshrc or config files.
GitHub
spec-verifier
Verifies completed work against original specifications. Use when "verify spec", "check spec compliance", "verify against [spec file]", "spec verification for [implementation]".
GitHub
check
Code quality checker skill. This skill should be used when the user wants to: (1) Run static analysis tools (mypy, pyright, ruff) on the codebase - triggered by "/check", "/check q", or "/check quality" (2) Fin...
GitHub
cube-iml
Check and repair PyCharm/IntelliJ module configuration (.iml file). Triggered by "/cube-iml" or when user reports PyCharm doesn't recognize src/tests folders.
GitHub
cleanup
This skill should be used when the user asks to "clean up the code", "remove unnecessary comments", "simplify docstrings", "parameterize tests", or wants to review and clean up 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.