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Found 213 Skills
Inspect an existing repo and generate OpenEditor onboarding config for it. Use when Codex needs to make a project OpenEditor-compatible by inferring framework or platform from the file tree, creating or updating `.logic-editor.json`, creating `oe-swift.json` for iOS or SwiftUI projects, or explaining which config fields still need manual confirmation.
Hand off the current task to another agent with full context. Use when the user says "handoff", "hand off", "hand this to", or wants to pass work to another agent (Codex or Claude).
Research across Notion and synthesize into structured documentation; use when gathering info from multiple Notion sources to produce briefs, comparisons, or reports with citations.
Interactive hypothesis-driven debugging with documented exploration, understanding evolution, and analysis-assisted correction.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Professional code review skill for Claude Code. Automatically collects file changes and task status. Triggers when working directory has uncommitted changes, or reviews latest commit when clean. Triggers: code review, review, 代码审核, 代码审查, 检查代码
Deep analysis and investigation
Generate a plan for how an agent should accomplish a complex coding task. Use when a user asks for a plan, and optionally when they want to save, find, read, update, or delete plan files in $CODEX_HOME/plans (default ~/.codex/plans).
Capture conversations and decisions into structured Notion pages; use when turning chats/notes into wiki entries, how-tos, decisions, or FAQs with proper linking.
Use when explicitly asked to run the code-reviewer subagent or when another skill requires the code-reviewer agent card.
Autonomous multi-agent task orchestration with dependency analysis, parallel tmux/Codex execution, and self-healing heartbeat monitoring. Use for large projects with multiple issues/tasks that need coordinated parallel execution.
Mine coding agent logs (Codex/Cursor/session histories and similar telemetry) to discover high-value candidate skills, then draft structured skill creation/reuse recommendations.