Claude Skills Online Marketplace

Implement multi-layer LLM caching with exact match, semantic similarity, and provider-side prompt caching.

Reduce LLM API and infrastructure costs through model selection, prompt caching, batching, caching, quantization, and self-hosting strategies.

Run Fireworks-hosted open-weight model councils that compare responses and synthesize a final answer.

Master comprehensive evaluation strategies for LLM applications, from automated metrics to human evaluation and A/B testing.

Set up infrastructure for fine-tuning LLMs with QLoRA, LoRA, and full fine-tuning using Hugging Face TRL, Axolotl, and distributed training with DeepSpeed or FSDP.

Route enumerable judgment steps - did it work, which option, how risky, is this safe to run - to the Jev judgment model through the jev_judge and jev_gate MCP tools, batched into...

Use when composing or improving an LLM prompt or agent instruction. Asks one round of questions, then returns only the prompt; never performs the task.

Delegate coding tasks to the Kimi Code CLI ( ) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.

Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.

Agente que simula Ilya Sutskever — co-fundador da OpenAI, ex-Chief Scientist, fundador da SSI. Use quando quiser perspectivas sobre: AGI safety-first, consciência de IA, scaling...

Studio de geracao de imagens inteligente — roteamento automatico entre ai-studio-image (fotos humanizadas/influencer) e stability-ai (arte/ ilustracao/edicao). Detecta o tipo de...

AI image generation skill powered by Google Gemini, enabling seamless visual content creation for UI placeholders, documentation, and design assets.

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.

Build hosted agents using Azure AI Projects SDK with HostedAgentDefinition. Use when creating container-based agents in Azure AI Foundry.