Best Claude Skills for AI/ML Development
AI skills for ai/ml development. Browse 16 skills from the community — install with a single command and extend your agent with specialized workflows.
16 skills in this category
Generate and edit images using OpenAI's Image API for visual projects and prototyping.
HF Hub CLI for managing models, datasets, repos, and compute jobs on Hugging Face.
Create and manage datasets with configs and SQL querying on the Hugging Face Hub.
Train models with TRL: SFT, DPO, GRPO fine-tuning and GGUF conversion on Hugging Face.
Track ML experiments with real-time dashboards and metrics logging on Hugging Face.
Model evaluation with vLLM/lighteval benchmarking and eval tables on Hugging Face.
Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited reports. Costs $2-5 per task.
77 AI research skills across 20 categories covering training, inference, and MLOps workflows.
AI and ML skills for .NET 8+: technology selection (ML.NET, Microsoft.Extensions.AI, Microsoft Agent Framework, Copilot SDK, ONNX, OllamaSharp), LLM integration, agentic workflows, RAG pipelines, MCP server creation.
Train, deploy, and monitor ML models on Azure ML: workspaces, compute, pipelines, prompt flow, and managed endpoints. Requires the mcp_microsoftdocs MCP for live docs.
Run Microsoft Foundry locally for offline / on-device AI development. Requires the mcp_microsoftdocs MCP for live docs.
Expert guidance for Microsoft Foundry (Azure AI Foundry): building agents with Agent 365, MCP tools, Azure OpenAI, VNets, guardrails, and CI/CD. Requires the mcp_microsoftdocs MCP for live docs.
Build search and RAG indexes on Azure Cognitive Search: vector + hybrid search, semantic ranking, indexers, and skillsets. Requires the mcp_microsoftdocs MCP for live docs.
Tooling and CLI patterns for Microsoft Foundry: deployment helpers, scripts, and integration utilities. Requires the mcp_microsoftdocs MCP for live docs.
Expert guidance for the classic Microsoft Foundry experience (legacy Azure AI Studio workflows). Requires the mcp_microsoftdocs MCP for live docs.
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FAQ
What are ai/ml development skills?
AI/ML Development skills are reusable instructions that teach AI agents how to work in ai/ml development workflows. They help agents follow framework conventions, generate better output, and stay aligned with best practices in this domain.
How do I install a ai/ml development skill?
Run the install command shown on each skill page, e.g. `npx skills add owner/repo --skill skill-name`. The skill becomes available in your agent sessions after installation.
Which tools and frameworks are covered?
Browse skills tagged for ai/ml development to find options for popular stacks and libraries. The catalog is community-maintained and updated as new skills are published to GitHub.