/codex — Multi-AI Second Opinion
OpenAI Codex CLI wrapper — three modes. (gstack)
5,427,900 AI resources indexedWorking toward the world’s largest AI resource index.
Reusable instructions for compatible AI agents.
Field counts come from the latest full-catalog snapshot. A resource can belong to several fields and platforms.
OpenAI Codex CLI wrapper — three modes. (gstack)
Systematic debugging with root cause investigation. (gstack)
Track and integrate external communications (emails, chat messages, screenshots) into project context with timeline management. Use when user mentions "email", "message", "communication", "screenshot", "track", "import", "sync", or wants to import external information sources into the project tim...
Go live on retake.tv — the livestreaming platform built for AI agents. Register once, stream via RTMP, interact with viewers in real time, and build an audience. Use when an agent needs to livestream, engage chat, or manage its retake.tv presence.
Visual whiteboard collaboration for Copilot CLI. Creates an interactive whiteboard that opens in your browser — draw, sketch, add sticky notes, then share everything back with Copilot. Copilot sees your drawings and text, and responds with analysis, suggestions, and ideas.
Run condition-based vault health diagnostics. 8 categories — schema compliance, orphan detection, link health, description quality, three-space boundaries, processing throughput, stale notes, MOC coherence. 3 modes — quick (schema+orphans+links), full (all 8), three-space (boundary violations onl...
Git Context Controller (GCC) - Manages agent memory as a versioned file system under .GCC/. This skill should be used when working on multi-step projects that benefit from structured memory persistence, milestone tracking, branching for alternative approaches, and cross-session context recovery. ...
Converting markdown plans into beads (tasks with dependencies) and polishing them until they're implementation-ready. The bridge between planning and agent swarm execution. Includes exact prompts used.
Refine, parallelize, and verify a draft task specification into a fully planned implementation-ready task
Maintain a structured planning document tree made of roadmap/status files, implementation status or handoff TODO files, topic notes, decision records, open questions, ideas/inspiration pools, and repository/file-structure hygiene plans. Use when Codex needs to create, reorganize, audit, or update...
Manage project learnings.
Use when acting as the decision-archaeology agent — surfaces decisions a spec has made (including the silent ones), emits each material choice as a Henney-style pattern story for human disposition, and pays down intent debt before plan approval
Try a broader search or clear some filters.
Platform labels describe intended use. Read each resource's author credits, requirements and available access methods.