rust-code-quality
Perform comprehensive Rust code quality reviews against best practices for async Rust, error handling, testing, and project structure
Découvrez les skills tools code quality, comparez leurs dépôts et consultez leurs instructions.
Perform comprehensive Rust code quality reviews against best practices for async Rust, error handling, testing, and project structure
Assist developers in writing clean, maintainable code following software engineering best practices. Use when conducting code reviews, refactoring code, enforcing coding standards, seeking guidance on clean cod...
Analyze, consolidate, and document codebases through multi-perspective analysis. Use when reviewing project structure, planning refactoring, creating documentation, or assessing technical debt.
Dynamically validate codebase compliance with architectural decisions and constraints
Maintain high code quality through formatting, linting, and static analysis using rustfmt, clippy, and cargo audit. Use to ensure consistent code style and catch common mistakes.
Always leave code better than you found it. Use this when encountering any code quality issues, even if unrelated to your current task.
TypeScript type safety guidelines. Use this when writing TypeScript code, especially when handling errors or unknown data types.
AST-based code searching with ast-grep. Use when searching code by syntax structure rather than text patterns, finding specific code patterns, or refactoring.
Self-review your own code changes using a visual diff viewer. Opens a GitHub-style web UI where you can add comments on changed lines. Comments are returned to Claude for action.
Python coding standards, best practices, type hints, and testing patterns. Use when writing or reviewing Python code, implementing tests, or discussing Python language features.
Ensure proper code organization with class names, directories, namespaces, and naming consistency following the principle "Directory X contains ONLY class type X (project)
Maintain and improve code quality using PHPInsights without decreasing quality thresholds. Use when PHPInsights fails, cyclomatic complexity is too high, code quality drops, or when refactoring for better maint...
Run comprehensive CI checks before committing changes. Use when the user asks to run CI, run quality checks, validate code quality, or before finishing any task that involves code changes.
C# code review skill. Analyzes code quality from OOP, SOLID, GoF design pattern, modern C# features, and performance perspectives. Use before pull requests, when optimizing code, or auditing legacy codebases.
Comprehensive code review checklists for backend and frontend code.
Supreme Code Quality Gatekeeper. Expert in Resolving the AI Verification Gap, Quality Metrics, and Elite Coding Standards for 2026.
This skill should be used when the user asks to "write a commit message", "format commit", "commit message style", or needs guidance on conventional commit format.
Analyze codebase for cleanup opportunities and generate actionable reports. Use when asked to review code health, find technical debt, audit the codebase, identify cleanup tasks, or when the user mentions "clea...
Perform thorough, constructive pull request reviews using parallel specialized agents. Use when user wants to review a PR, provide code review feedback, or assess code changes. Features confidence-scored issues...
Review code diffs for bugs, edge cases, state issues, and consequences. Provide prioritized findings with specific fixes.
AgentSkill: run a repo-specific security audit of the OpenHands-Tab VS Code extension with a focus on secret handling, webview/host boundaries, persistence, and logging redaction. Trigger with /audit.
Verify architecture health including layer violations, circular dependencies, package structure, and design pattern compliance
Analyze Gradle dependencies for outdated versions, known CVEs, unnecessary transitive dependencies, and version conflicts
Quick code review for files or recent changes, checking for bugs, best practices, and potential improvements
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.