Code Review
01Skill Claude CodeCodex
Comprehensive code review with security, performance, and best practices focus.
1 21d ago A 16 tokens
original MIT
1Stars on the repository
38Mods indexed here, across every type
21d agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown
Skill Claude CodeCodex
Scaffold a new microservice that follows project architecture patterns.
1 21d ago A 14 tokens
original MIT
Skill Claude CodeCodex
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
1 21d ago A 37 tokens
original MIT
cleanup
04Skill Claude CodeCodex
Bidirectional AI slop scanner — Claude + GPT independently analyze, then debate disagreements.
1 21d ago A 19 tokens
original MIT
codex-review
05Skill Claude CodeCodex
Get an independent GPT review via Codex CLI. Use when you want a second opinion on code, plans, or architecture from a different AI model.
1 21d ago A 34 tokens
original MIT
debate
06Skill Claude CodeCodex
Real Claude vs GPT multi-round debate. Use when you need a second opinion, want to debate architecture decisions, or evaluate competing approaches with multi-model collaboration.
1 21d ago A 34 tokens
original MIT
Skill Claude CodeCodex
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies.
1 21d ago A 26 tokens
original MIT
Skill Claude CodeCodex
Use when you have a written implementation plan to execute in a separate session with review checkpoints.
1 21d ago A 22 tokens
original MIT
Skill Claude CodeCodex
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup.
1 21d ago A 44 tokens
original MIT
plan-review
10Skill Claude CodeCodex
Send execution plans to GPT for structured review via Codex CLI. Use when you have a written plan and want independent validation before implementation.
1 21d ago A 30 tokens
original MIT
Skill Claude CodeCodex
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation.
1 21d ago A 38 tokens
original MIT
Skill Claude CodeCodex
Use when completing tasks, implementing major features, or before merging to verify work meets requirements.
1 21d ago A 22 tokens
original MIT
Skill Claude CodeCodex
Use when executing implementation plans with independent tasks in the current session.
1 21d ago A 17 tokens
original MIT
Skill Claude CodeCodex
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
1 21d ago A 21 tokens
original MIT
Skill Claude CodeCodex
Use when implementing any feature or bugfix, before writing implementation code.
1 21d ago A 17 tokens
original MIT
Skill Claude CodeCodex
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback.
1 21d ago A 36 tokens
original MIT
Skill Claude CodeCodex
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions.
1 21d ago C 29 tokens
original MIT
Skill Claude CodeCodex
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always.
1 21d ago A 43 tokens
original MIT
Skill Claude CodeCodex
Use when you have a spec or requirements for a multi-step task, before touching code.
1 21d ago A 21 tokens
original MIT
Skill Claude CodeCodex
Use when creating new skills, editing existing skills, or verifying skills work before deployment.
1 21d ago A 20 tokens
original MIT