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Found 214 Skills
Performs AI-powered code review on Git changes using the `ocr` CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can automatically apply fixes when requested. With appropriate review rules, can detect various types of issues including bugs, security vulnerabilities, performance problems, and code quality concerns.
Find unused functions and dead code in the codebase
Comprehensive quality gate integrating linting, type checking, specification review, and security auditing.
Run Ultimate Bug Scanner for automated bug detection across multiple languages. Detects 1000+ bug patterns including null pointers, security vulnerabilities, async/await issues, and resource leaks. Integrates with quality-gate workflow.
Use when writing, testing, and running CodeQL queries in VS Code, or setting up workspace configuration for the CodeQL extension.
Use this when user needs to document business requirements from undocumented legacy code. Provides systematic 6-phase extraction: automated analysis, validation rules, use cases, business rules, data models, and workflow mapping. Apply for legacy system documentation, migration planning, compliance audits, or M&A due diligence
Analyze codebase for GoF design patterns - detection, suggestions, evaluation with stack-aware adaptations
Maps questions to the optimal tldr command. Use this to pick the right layer
Token-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG). 95% token savings.
Build PHPStan rules, collectors, and extensions that analyze PHP code for custom errors. Use when asked to create, modify, or explain PHPStan rules, collectors, or type extensions. Triggers on requests like "write a PHPStan rule to...", "create a PHPStan rule that...", "add a PHPStan rule for...", "write a collector for...", or when working on a phpstan extension package.
Builds and queries code knowledge graph for dependency analysis, references, implementations, and architecture overview. Use when starting work on unfamiliar codebase or before refactoring.
Generate comprehensive scientific research-style documentation for completed coding projects. Use when the user requests project documentation, a technical breakdown, a study paper, a lecture document, or wants to understand everything about a project they just built. Triggers include phrases like "document this project," "create a study paper," "explain everything we did," "write up the full breakdown," "scientific documentation," or "I want to learn from this project." Produces formal Word documents (.docx) with academic structure, beginner-friendly explanations, and exhaustive code analysis.