codex
Use when Claude Code needs a second opinion, verification, or deeper research on technical matters. This includes researching how a library or API works, confirming implementation approaches, verifying technica...
Discover development debugging skills, compare source repositories and read the instructions for each workflow.
Use when Claude Code needs a second opinion, verification, or deeper research on technical matters. This includes researching how a library or API works, confirming implementation approaches, verifying technica...
Debug data storage and persistence issues. Use when troubleshooting lost data, storage problems, or state persistence bugs.
Phase 6 of Eiffel Spec Kit. Generates adversarial tests, stress tests, and edge case tests. AI chain suggests attack vectors. Use with /eiffel.harden command.
Run benchmark suites locally and in CI using AirspeedVelocity.jl. Use this skill when running benchmarks or setting up CI performance tracking.
TRIGGERS: "I'm done", "task complete", "finished coding", "ready for review", "/done", code explanation, defend my code, walk through, explain this code. USE WHEN: Junior completes a task and needs code compreh...
Patterns and techniques for analyzing brownfield codebases. Use when onboarding to unfamiliar code, preparing for refactoring, conducting architecture reviews, or identifying technical debt.
Deep investigation of a failing pod. Gathers logs, events, and resource status to identify root cause. Keywords: investigate, debug, pod failure, troubleshoot, root cause, logs, events.
TRIGGERS: "code quality check", "is this clean enough?", "ready for review", code quality verification, naming check, DRY check, structure review. USE WHEN: Code is ready for review and needs quality verificati...
Comprehensive testing specialization covering test strategy, automation, TDD methodology, test writing, and web app testing. Use when setting up test infrastructure, writing tests, implementing TDD workflows, a...
Auto-escalate reasoning depth for complex problems. Use proactively when encountering architecture, debugging, or unfamiliar code.
Diagnoses and fixes Rust compile errors, borrow-checker issues, runtime panics, and logic bugs with clear explanations and idiomatic solutions.
Comprehensive performance specialist covering analysis, optimization, load testing, and framework-specific performance. Use when identifying bottlenecks, optimizing code, conducting load tests, analyzing Core W...
Automatically find relevant context from knowledge graph and code relationships while coding. Detects when context would be helpful (new files, unfamiliar code, architectural decisions) and surfaces related ent...
Expert at analyzing documentation quality, coverage, and completeness. Auto-invokes when evaluating documentation health, checking documentation coverage, auditing existing docs, assessing documentation quality...
Automatically activated when user asks about test quality, code coverage, test reliability, test maintainability, or wants to analyze their test suite. Provides framework-agnostic test quality analysis and impr...
Structured logging for Python applications with context support and powerful processors
Extracts reusable patterns from sessions. Use at session end to capture debugging insights and project-specific knowledge.
Patterns for optimizing database queries and preventing connection pool exhaustion. Use when writing batch operations, debugging slow queries, or reviewing code for performance.
4-phase debugging framework preventing "guess-and-check" fixing. Load when debugging fails or for complex bug investigation.
Execute documented runbooks for common SRE incidents. Use when investigating database connection exhaustion, high latency cascades, or elevated error rates. Provides structured investigation steps and remediati...
Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".
Go performance optimization techniques including profiling with pprof, memory optimization, concurrency patterns, and escape analysis.
Debug systematically with root cause analysis before fixes. Use for bugs, test failures, unexpected behavior, performance issues, call stack tracing, multi-layer validation.
React and Next.js performance optimization from Vercel Engineering. 45 rules across 8 categories covering async waterfalls, bundle size, server-side performance, re-renders, and rendering optimization. Use when...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.