Total 55,942 skills, AI & Machine Learning has 9312 skills
Showing 12 of 9312 skills
Runs an autonomous development loop with research and implementation modes. Use when orchestrating iterative research and implementation cycles with dots-based task tracking and git workflow automation.
Evolves skills based on usage patterns. Use when improving or rolling back skill definitions.
Unified command interface for the autonomous idea intake workflow system
Provides guidance for writing and benchmarking optimized CUDA kernels for NVIDIA GPUs (H100, A100, T4) targeting HuggingFace diffusers and transformers libraries. Supports models like LTX-Video, Stable Diffusion, LLaMA, Mistral, and Qwen. Includes integration with HuggingFace Kernels Hub (get_kernel) for loading pre-compiled kernels. Includes benchmarking scripts to compare kernel performance against baseline implementations.
Silently refresh AI context by reading project configuration and guidelines. Use when starting a new conversation, after context loss, or before major tasks.
Create, list, remove, and run scheduled autonomous Claude Code agents. Agents run on a timer via macOS launchd, execute any prompt headlessly, and deliver results via Beeper messages and macOS notifications. Use for recurring research, monitoring, overnight builds, or any task you want Claude to do on autopilot.
Generate sprites and game assets using the SpriteCook MCP tools. Use when building games and the user needs sprites, pixel art, characters, items, tilesets, textures, icons, or UI elements. Also use when asked to create, generate, or make game art assets.
Facilitate workshop sessions in a multi-turn, one-step flow with numbered recommendations at decision points and quick-select options for regular questions.
Create and contribute skills to the communal knowledge base. Use when creating new skills, updating existing skills, or contributing learnings back to the repository.
Vertex Ai Pipeline Creator - Auto-activating skill for GCP Skills. Triggers on: vertex ai pipeline creator, vertex ai pipeline creator Part of the GCP Skills skill category.
Craft highly effective prompts for Nano Banana Pro (Gemini image generation). Use when generating images with Nano Banana Pro for any purpose including photorealistic portraits, product photography, creative experiments, e-commerce mockups, social media content, editorial layouts, 3D renders, era-specific aesthetics (Y2K, 2000s, 1990s), miniature/diorama effects, or any advanced image generation task. Provides proven prompt patterns, technical specifications, JSON structuring, identity preservation techniques, and style-specific templates.
Onboards users to MLflow by determining their use case (GenAI agents/apps or traditional ML/deep learning) and guiding them through relevant quickstart tutorials and initial integration. If an experiment ID is available, it should be supplied as input to help determine the use case. Use when the user asks to get started with MLflow, set up tracking, add observability, or integrate MLflow into their project. Triggers on "get started with MLflow", "set up MLflow", "onboard to MLflow", "add MLflow to my project", "how do I use MLflow".