Claude Skills Online Marketplace

Train object detection, image classification, and SAM or SAM2 segmentation models locally or on Hugging Face Jobs, with bounded dataset pilots and explicit artifact persistence.

Use when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by benchmark scores.

Curated upstream guidance for Huggingface Community Evals; use when the workflow matches the user goal.

Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup,...

Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA.

Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or...

AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU.

Curated upstream guidance for Hf Cli; use when the workflow matches the user goal.

Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools....

Hugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub

Scoped CLAUDE.md memory system that reduces context token spend. Creates directory-level context files, tracks savings via dashboard, and routes agents to the right sub-context.

Preview, draft, refine, or audit durable agent Goals with acceptance evidence, drift controls, proportional verification, and bounded waiting. Use for multi-stage work, not...

Draft and explain persistent goal-loop prompts for long-running agent work with clear stop conditions.

Delegate well-specified implementation tasks to xAI's Grok Build CLI running headlessly while the orchestrating agent plans, writes task specs, reviews every diff, and owns the...

Delegate coding tasks to the Grok Build CLI only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.

Discover and compare MCP servers and AI agents using Global Chat's cross-protocol directory and MCP server.

Use this skill when building applications with Gemini API hosted models, including Gemini and Gemma 4, working with multimodal content (text, images, audio, video), implementing...

Use when integrating Google Gemini API into projects. Covers model selection, multimodal inputs, streaming, function calling, and production best practices.

Build with the Gemini Interactions API for text, chat, multimodal generation, streaming, managed or background agents, function calling, structured output, and generateContent...

Use this skill when building real-time, bidirectional streaming applications with the Gemini Live API.