Total 54,003 skills, Code Quality has 2432 skills
Showing 12 of 2432 skills
Comprehensive Rust coding guidelines with 179 rules across 14 categories. Use when writing, reviewing, or refactoring Rust code. Covers ownership, error handling, async patterns, API design, memory optimization, performance, testing, and common anti-patterns. Invoke with /rust-skills.
Performance profiling and bottleneck detection for Node.js, Python, and browser apps
Initialize repo-scoped code review policy files under .opencode/review. Use when setting up project-specific review rules for /code-review.
This skill should be used when fixing bugs, implementing features, debugging issues, or making code changes. Ensures understanding of code flow before implementation by: (1) Tracing execution path with specific file:line references, (2) Creating lightweight text diagrams showing class.method() flows, (3) Verifying understanding with user. Prevents wasted effort from assumptions or guessing. Triggers when users request: bug fixes, feature implementations, refactoring, TDD cycles, debugging, code analysis.
Use when wanting independent review from external models before merging, committing, or finalizing architecture or plan decisions, or when the user asks for a second opinion, codex review, or gemini review
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.
Senior Python developer. Use when writing, reviewing, or refactoring Python code. Enforces idiomatic Python, type hints, and modern patterns.
Use when auditing project structure, planning refactors, improving code organization, analyzing dependencies and module boundaries, or identifying structural issues. TypeScript/JavaScript-primary with language-agnostic patterns.
Refactors code following Ousterhout's design principles. Analyzes complexity, creates prioritized refactoring plan, and executes with safety-first approach. Optimized for Vite/React, Tauri/Rust, Zustand stack.
Analyzes Java code against industry best practices and evaluates design principles including SOLID, exception handling, thread safety, and resource management. Reviews naming conventions, Stream API usage, Optional patterns, and general code quality. Use when reviewing Java files, checking code quality, evaluating exception handling, or auditing resource management.
Systematic resolution of pyright/mypy type errors with categorization and fix templates. Use when pyright fails, type errors are reported, adding type annotations, or enforcing type safety. Analyzes Python type errors, categorizes them (missing annotations, incorrect types, generic issues, Optional/None handling), and applies fix patterns. Works with .py files and pyright output.
Systematic code maturity assessment using Trail of Bits' 9-category framework. Analyzes codebase for arithmetic safety, auditing practices, access controls, complexity, decentralization, documentation, MEV risks, low-level code, and testing. Produces professional scorecard with evidence-based ratings and actionable recommendations.