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Found 1,266 Skills
Validate at every layer data passes through to make bugs impossible. Use when invalid data causes failures deep in execution, requiring validation at multiple system layers.
Provides practical guidance for conducting thorough code reviews that identify issues early, promote knowledge sharing, and deliver constructive feedback. This skill should be used when reviewing pull requests, establishing team review standards, or mentoring developers on effective review practices.
TypeScript-specific coding conventions and type system patterns. Always load this skill when writing or reviewing TypeScript code.
Detects ESLint configuration and available commands in a repository. Returns structured JSON output designed for consumption by the quality-gates-linter agent. Checks for ESLint config files, extracts lint commands from package.json, Makefile, and CLAUDE.md, and provides command sources for the agent to read directly.
Codebase analysis tool for quality-first editing. Scan before edit to understand relationships, patterns, and impact.
This skill should be used when the user asks to "review my changes", "review this code", "check my work", "what's wrong with my changes", "review before I push", "security review", "do a code review", or mentions reviewing, auditing, or analyzing local code changes before committing or opening a PR.
Expert in TypeScript development with best practices for type safety and clean code
Refactor code for quality, reduce technical debt, and improve maintainability. Use for cleanup tasks and code improvements.
C# code review skill. Analyzes code quality from OOP, SOLID, GoF design pattern, modern C# features, and performance perspectives. Use before pull requests, when optimizing code, or auditing legacy codebases.
This skill should be used when reducing the cognitive complexity threshold of the codebase. It lowers the threshold by 2, identifies functions that exceed the new limit, generates a brief with refactoring strategies, and creates a plan with tasks to fix all violations.
Puts Claude code into a different frame of mind for better results
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.