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Found 695 Skills
Use when implementation is complete, tests pass, and code needs to reach main — via PR with auto-merge (CI up) or local shallow-clone merge (CI down)
Use when starting task work that needs branch isolation, before planning or coding — creates a worktree branching from current remote main with freshness verification and project setup
Use when content needs a diagram or visual — auto-detects content shape, picks the best format per the active-selection rule, and renders it.
Use when extracting imperatives from agent instruction files, analyzing rule coverage, or preparing input for /policy-algebra and /distill.
Tips and best practices for effective GrepAI searches. Use this skill to improve search result quality.
Supported programming languages in GrepAI. Use this skill to understand which languages can be indexed and traced.
Generate images using Google Gemini's image generation capabilities. Use this skill when the user needs to create, generate, or produce images for any purpose including UI mockups, icons, illustrations, diagrams, concept art, placeholder images, or visual representations.
Analyze and implement purposeful UI animations for Next.js + Tailwind + React projects. Use when user asks to add animations, enhance UI motion, animate pages/components, or improve visual feedback. Triggers on "add animations", "animate UI", "motion design", "hover effects", "scroll animations", "page transitions", "micro-interactions".
Generate a Codex Wrapped usage recap from local Codex logs, including last 30 days, last 7 days, and an all-time focus-hours callout. Use when the user asks for a usage summary, activity recap, or Codex Wrapped report.
Integration patterns and best practices for adding persistent memory to LLM agents using the Letta Learning SDK
Guidance for setting up HuggingFace model inference services with Flask APIs. This skill applies when downloading HuggingFace models, creating inference endpoints, or building ML model serving APIs. Use for tasks involving transformers library, model caching, and REST API creation for ML models.
Perform autonomous, multi-step research using the Gemini Deep Research Agent (Interactions API). Supports web search, file/directory context, and resilient streaming.