Loading...
Loading...
Found 920 Skills
Systematic approach to implementing new features in the Rust memory system following project conventions. Use when adding new functionality with proper testing and documentation, maintaining code quality and test coverage.
Comprehensively reviews Python libraries for quality across project structure, packaging, code quality, testing, security, documentation, API design, and CI/CD. Provides actionable feedback and improvement recommendations. Use when evaluating library health, preparing for major releases, or auditing dependencies.
Initialize repo-scoped code review policy files under .opencode/review. Use when setting up project-specific review rules for /code-review.
Respond to PR review comments with critical evaluation. Use when addressing code review feedback, responding to bot review comments (Gemini Code Assist, CodeRabbit, etc.), or handling PR suggestions. Fetches comments, evaluates each against project context, applies valid fixes, declines invalid suggestions with reasoning, and posts responses.
Use this skill when posting the final summary comment after all inline comments are posted. Apply as the LAST step of code review after all findings are classified and inline comments are complete. Detects context (GitHub sticky comment, new comment, or local file) and routes output accordingly.
Use this to verify whether the work meets requirements when completing tasks, implementing main features, or before merging.
Use this when receiving code review feedback, before implementing suggestions, especially when feedback seems unclear or technically problematic - requires technical rigor and verification, not protocol execution or blind implementation
Review an existing game codebase for architecture, performance, and best practices
Local code review tool for self-inspection before git push. Triggered when users request phrases like "review my code", "check code changes", "review this commit", "review this", "code review", "git review", "help me check my code". Supports reviewing unstaged, staged uncommitted, and committed unpushed changes, and outputs a Markdown review report with scores.
Runs Sweepi and resolves lint violations using Sweepit rule docs. Trigger when asked to run Sweepi, when linting (or asked to lint), and before proposing commits.
Orchestrate comprehensive code review across ~12 AI reviewers. 5 persona reviewers (Grug, Carmack, Ousterhout, Beck, Fowler) via Moonbridge, 4 domain specialists (security-sentinel MANDATORY, performance, data integrity, architecture) via Task, plus hindsight-reviewer and synthesis. Use when: code review, PR review, pre-merge quality check.
Code comment guidelines. Remove redundant comments, add strategic ones explaining WHY not WHAT. Applied automatically when modifying code.