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Reusable instructions for compatible AI agents.
Field counts come from the latest full-catalog snapshot. A resource can belong to several fields and platforms.
Generates optimized prompts for AI tools. Activates only when the user explicitly asks to write, fix, improve, or adapt a prompt for a specific AI tool (LLM, Cursor, Midjourney, image AI, video AI, coding agents, etc.). Does not activate for general conversation, coding tasks, document writing, o...
Generates optimized prompts for any AI tool. Use when writing, fixing, improving, or adapting a prompt for LLM, Cursor, Midjourney, image AI, video AI, coding agents, or any other AI tool.
Auto-review pipeline — reads the full CEO, design, eng, and DX review skills from disk and runs them sequentially with auto-decisions using 6 decision principles. Surfaces taste decisions (close approaches, borderline scope, codex disagreements) at a final approval gate. One command, fully review...
Provider-independent editing and montage direction for AI agents producing generated videos, ads, trailers, social clips, explainers, product videos, documentary-style pieces, and music- or beat-driven cuts. Use when planning, revising, QAing, or handing off an edit: story structure, shot selection, continuity, montage theory, rhythm and pacing, J/L cuts, match cuts, cutaways, transitions, beat sync, platform timing, source/generated asset management, revision workflow, and composition handoff.
Guides section-by-section writing of a game design document that doubles as an agent-verifiable spec: pillars, core loop, MDA-tagged systems with pass/fail acceptance criteria and tuning knobs, scope tiers and an AI-use policy. Use for "write my GDD", "create a game design document", "turn my concept into a spec". Not for critiquing an existing GDD (use game-design-review).
Reference for Cloudflare Workers AI, running AI models on serverless GPUs through the env.AI.run() binding. Covers the AI binding in wrangler.jsonc, model selection (@cf/meta/llama, Flux and Stable Diffusion image generation, BGE embeddings, vision models), streaming responses, AI Gateway caching, RAG with Vectorize, Vercel AI SDK integration and OpenAI-compatible endpoints, plus rate limits, neuron pricing and a production checklist. Use when implementing AI inference in a Cloudflare Worker, ge
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