investigate-dependencies
Conduct thorough dependency audits to identify redundant code, unused features, and improper usage patterns. Examines each import to ensure we're leveraging existing capabilities rather than reinventing functio...
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Conduct thorough dependency audits to identify redundant code, unused features, and improper usage patterns. Examines each import to ensure we're leveraging existing capabilities rather than reinventing functio...
A software security skill that integrates with Project CodeGuard to help AI coding agents write secure code and prevent common vulnerabilities. Use this skill when writing, reviewing, or modifying code to ensur...
Perform thorough code reviews with actionable feedback. Use when the user says "review", "/review", "code review", asks for feedback on code, wants a PR reviewed, or needs a second pair of eyes on their changes...
Perform comprehensive software architecture audits to identify improvements for robustness, changeability, and testability. Use when asked to audit, review, or analyze a codebase's architecture, or when asked t...
Use when checking if an OpenAPI spec is valid, looking for errors, or running `speakeasy lint`
Port ESLint rules to rslint (a Go-based linter). Use when users want to port/migrate/implement an ESLint rule, add a new lint rule, or mention "port rule" or specific ESLint rule names like "no-unused-vars", "n...
Comprehensive code review methodology with severity classification and confidence thresholds
Audit code and dependencies for security vulnerabilities. Use when reviewing PRs, checking dependencies, preparing for deployment, or when user mentions security, vulnerabilities, or audit.
Performs comprehensive codebase analysis covering architecture, code quality, security, performance, testing, and maintainability. Use when user wants to audit code quality, identify technical debt, find securi...
Error Message Style Guide for Validation Errors
Analyzes existing codebases to understand structure, patterns, and technical debt
Provides WordPress coding standards, PHP/CSS/JS style guide, code linting and static analysis (phpcs, phpstan, rector, phpcbf). Use before writing or editing PHP, CSS, or JavaScript code, when fixing lint error...
Use when reviewing pull requests, conducting code quality audits, or identifying security vulnerabilities. Invoke for PR reviews, code quality checks, refactoring suggestions.
Core rules for bkit plugin. PDCA methodology, level detection, agent auto-triggering, and code quality standards. These rules are automatically applied to ensure consistent AI-native development. Use proactive...
Skill for defining coding rules and conventions. Ensures consistent code style and specifies coding standards for AI collaboration. Use proactively when starting a new project or when coding standards are need...
Skill for verifying overall codebase quality and gap analysis. Covers architecture consistency, convention compliance, design-implementation gaps, and potential issue detection. Includes analysis patterns and r...
Writes idiomatic, performant, and maintainable Nix code. Covers best practices, anti-patterns to avoid (like `with`), module system design, and performance optimization.
Review code changes against hard rules and conventions
Automated code review using ReadLints and Shell for technical validation
Comprehensive Nix validation: treefmt-nix integration, statix/deadnix linting, flake checks, khanelinix-specific patterns. Use when validating Nix code or setting up linting infrastructure.
Audit and improve Jetpack Compose runtime performance from code review and architecture. Use when asked to diagnose slow rendering, janky scrolling, excessive recompositions, or performance issues in Compose UI...
Create optimized llm-context rules for specific tasks by analyzing codebase content and generating minimal file selection patterns
Review Python code for quality, security, and best practices
Build tools (Gradle KTS), Static Analysis (Detekt), and Testing standards.
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.