Loading...
Loading...
Found 837 Skills
Manage MCP servers in Codex quickly and safely. Use this skill when the user asks to add, update, remove, inspect, or troubleshoot MCP servers, especially from a GitHub URL. The skill enforces scope selection (project `./.codex/config.toml` vs global `~/.codex/config.toml`), checks for existing entries, and asks the user to choose required options before making changes.
Cross-platform skill converter. Parse AgentOps skills into a universal bundle format, then convert to target platforms (Codex, Cursor). Triggers: convert, converter, convert skill, export skill, cross-platform.
Diagnose and fix errors with Codex delegation. Traces error to root cause, researches approach, delegates fix, verifies. Use when: bug reports, error messages, stack traces, test failures.
Use this skill for multi-model AI code review. Trigger whenever the user asks to review code changes, audit a diff, check code quality, review a PR, review commits, or review uncommitted changes before pushing or merging. Also trigger when they say 'code review', 'review my changes', 'check this before I merge', or want multiple perspectives on code. Runs Codex and Claude reviews in parallel, then synthesizes a unified report. Do NOT use for reviewing documentation, markdown, or non-code files, or for trivial single-line changes.
Keep Codex skills aligned with durable feedback by distilling comments, corrections, and repeated guidance into the narrowest existing skill. Use on every turn, and especially when feedback reveals a reusable rule, a repeated miss, or a better abstraction that should replace a task-specific example.
Run, watch, debug, and extend OpenClaw QA testing with qa-lab and qa-channel. Use when Codex needs to execute the repo-backed QA suite, inspect live QA artifacts, debug failing scenarios, add new QA scenarios, or explain the OpenClaw QA workflow. Prefer the live OpenAI lane with regular openai/gpt-5.4 in fast mode; do not use gpt-5.4-pro or gpt-5.4-mini unless the user explicitly overrides that policy.
Create, repair, validate, preview, and package Codex-compatible animated pet spritesheets from character art, screenshots, generated images, or visual references. Use when a user wants to hatch a Codex pet, create a custom animated pet, or build a built-in pet asset with an 8x9 atlas, transparent unused cells, row-by-row animation prompts, QA contact sheets, preview videos, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.
Comprehensive guide for using Codex CLI (OpenAI) and Claude Code CLI (Anthropic) - AI-powered coding agents. Use when orchestrating CLI commands, automating tasks, configuring agents, or troubleshooting issues.
Get code review from Codex AI for implementation quality, bug detection, and best practices. Use when asked to review code, check for bugs, find security issues, or get feedback on implementation patterns.
Cross fact-checking with 4 models: Claude + Gemini + Codex. Conduct independent checks with Opus itself, Gemini Flash, Gemini Pro, and Codex (gpt-5.3-codex) → extract issues → discuss → output a consensus report.
Code generation with Codex delegation. Understands task, finds patterns, delegates to Codex, validates output. Use when: implementing a feature, writing code, building functionality.
Independence-validated parallel fleet that runs each worker (claude -p or codex exec) in its own git worktree. Use when tasks touch non-overlapping files and you need merge-safe isolation (each worker on its own branch). For DAG-ordered one-shot workers with budgets, use dag-fleet. For headless iteration with a reviewer loop, use iterative-fleet.