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Found 379 Skills
Automated code review loop with progressive reasoning levels. Runs n parallel Codex reviews (configurable via -n), Claude addresses issues, climbs from low→xhigh reasoning until fixed point (all n clean). Human approval at each iteration.
Enables Claude Code to collaborate with OpenAI Codex CLI on Windows. Use this skill when the user wants to get a second opinion from Codex, compare approaches between Claude and Codex, or leverage both AI assistants for collaborative problem-solving. This skill supports both non-interactive mode (automatic response retrieval) and interactive mode (visual pane splitting with tmux).
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.
Unified setup hub: project init, tool setup, 2-agent config, harness-mem, codex CLI, and rule localization. Use when user mentions setup, initialization, new projects, workflow files, CI setup, LSP setup, MCP setup, codex setup, opencode setup, 2-Agent setup, PM coordination, Cursor setup, harness-mem, claude-mem integration, cross-session memory, localize rules, adapt rules. Do NOT load for: implementation work, reviews, build verification, or deployments.
Have Codex CLI review uncommitted code changes. Claude Code then fixes valid issues and rebuts invalid ones. Codex re-reviews. Repeat until consensus. Codex never touches code — it only reviews.
Configure project memory files (CLAUDE.md, AGENTS.md, CODEX.md) for persistent context, coding standards, architecture decisions, and team conventions. Reference for the 4-tier memory hierarchy, cross-platform compatibility, and quick-add commands.
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 technical assumptions, understanding complex code patterns, or getting alternative perspectives on architectural decisions. The agent leverages the Codex CLI to provide independent analysis and validation.
AI-powered code review via the OpenAI Codex CLI. This skill should be used when reviewing branch diffs before merging a PR, auditing uncommitted changes during development, inspecting a specific commit, performing custom-scoped reviews, or whenever changes touch security-sensitive paths or exhibit risky patterns.
Code generation with Codex delegation. Understands task, finds patterns, delegates to Codex, validates output. Use when: implementing a feature, writing code, building functionality.
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.
Launch and manage Codex Cloud tasks from the CLI, including detached background watchers that track completion. Use when users ask to run coding work in cloud/background agents, queue multiple cloud tasks, poll task status, fetch cloud diffs, apply cloud outputs locally, or pair cloud kickoff with `$cas` orchestration.
Hand off a task to Codex CLI for autonomous execution. Use when a task would benefit from a capable subagent to implement, fix, investigate, or review code. Codex has full codebase access and can make changes.