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Found 9,102 Skills
Curate, install, and manage Codex skills from the awesome-codex-skills collection for AI coding agents.
Generates a one-page Monday morning briefing — cash, sales, pipeline, week ahead, top three to-dos. Accepts optional post destination and save-to arguments.
Expertise in managing the Git and GitHub Pull Request lifecycle, including staging changes, generating PR descriptions, and branch management.
Use skill if you are running many small Codex-native web searches through codex exec with per-question files and parseable answer artifacts.
This skill should be used when the user asks to "improve a skill", "make this skill better", "add features to a skill", "this skill is missing something", "upgrade my skill", "what's missing from this skill", "the skill doesn't do X", "make this more useful", or wants to improve skill effectiveness rather than structural correctness. Not for structural fixes — use repair-skill. Not for agents.
Generate a 65-second founder-style product video from a product URL + user-supplied imagery. Output is a 16:9 1080p MP4 — 4 × 15s SeeDance acts of a talking founder + 5s branded end card + background music. The user's actual product screenshots appear on the founder's phone in reveal shots, so on-screen UI is real, not AI-imagined. Triggers — "founder video", "product video", "60s pitch video", "make a video of [founder] for [URL]", "talking founder explainer". Requires Pika MCP. Uses a supplied brand kit folder (`brand.json` or an exported build-a-brand kit with `brand.md`, tokens, logo assets); if no kit exists, run build-a-brand first.
Generate or update CLAUDE.md from blueprint artifacts. Use when adding team instructions, converting inline content to @imports, or setting up CLAUDE.local.md.
Export a white-label client deliverable as a zip.
Two-step image grounding pipeline: extracts referring expressions from (image, caption) pairs and grounds them to pixel-space bounding boxes via a VLM. Use when the user wants to ground captions to bboxes, generate phrase-grounded annotations, auto-label images for grounding, or run the image_grounding pipeline. Triggers include 'image grounding', 'phrase grounding', 'ground captions', 'auto-label image grounding', 'image_grounding'.
Use when planning a multi-step task or working in plan mode and you need to capture the plan as a durable, resumable artifact — breaking work into phases with per-item checkboxes, completion tracking, autonomous verification, and a handoff summary so a future agent can pick up where you left off. Use when user wants to create or design a plan or mentioned "real work".
You MUST use this when a request needs design decisions before code — new features, product or UX behavior, architecture changes, unclear success criteria, or two materially different approaches. Explicitly specified mechanical refactors, localized fixes with known expected behavior, and single-outcome config changes go straight to implementation.
Update an OpenSpec change by revising its existing planning artifacts and keeping them coherent with one another. Use when the user wants to revise a change's plan, fold new decisions into it, or reconcile its artifacts after an edit. Never edits code.