Total 54,149 skills, Code Quality has 2443 skills
Showing 12 of 2443 skills
Review code for performance: complexity, database/query efficiency, I/O and network cost, memory and allocation behavior, concurrency contention, caching, and latency/throughput regressions. Cognitive-only atomic skill; output is a findings list.
General best practices for Dart development. Covers code style, effective Dart, and language features.
Ruthless complexity killer. Challenges every abstraction, layer, and pattern with "can you do this with 1/10th the complexity?" Roasts over-engineering and forces the simplest solution that works.
Analyze codebase for GoF design patterns - detection, suggestions, evaluation with stack-aware adaptations
Creates and manages Biome GritQL custom lint rules to enforce coding patterns. Use when creating linter rules, enforcing code conventions, preventing anti-patterns, or when the user mentions Biome, GritQL, custom lint rules, or AST-based linting.
Find and remove dead code and stale documentation. Covers unused functions, orphaned files, dead links, and outdated references. Use for maintenance, pre-release cleanup, or codebase hygiene. Triggers: clean, dead code, unused, orphan, stale, cruft, maintenance.
You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, C
Skills wiki intro - mandatory workflows, search tool, brainstorming triggers
Use when encountering TypeScript any types, type errors, or lax type checking - eliminates type holes and enforces strict type safety through proper interfaces, type guards, and module augmentation
ANTI-PATTERN - Example showing violations of self-containment (DO NOT COPY)
Make an existing change more concise without altering behavior. Use when asked to simplify or reduce a diff.
This skill provides systematic bug detection and discovery capabilities for VS Code extensions. Use when searching for hidden bugs, analyzing code for potential issues, investigating suspicious behavior, performing code audits, or proactively finding bugs before they manifest. Covers static analysis patterns, dynamic analysis techniques, code smell detection, and systematic codebase investigation.