Total 50,817 skills, AI & Machine Learning has 8502 skills
Showing 12 of 8502 skills
Enterprise LLM Fine-Tuning with LoRA, QLoRA, and PEFT techniques
Repository structure methodology for maximum AI agent effectiveness. Three pillars — context engineering (repo as knowledge product), architectural constraints (deterministic enforcement), garbage collection (active entropy fighting). Use when setting up repos for AI development, diagnosing repeated agent failures, writing AGENTS.md, or designing CI gates and structural tests.
Microsoft 365 Agents SDK for .NET. Build multichannel agents for Teams/M365/Copilot Studio with ASP.NET Core hosting, AgentApplication routing, and MSAL-based auth.
Guide for understanding and contributing to the awesome-skills curated resource list. Use this skill when adding resources, organizing categories, or maintaining README.md consistency (no duplicates).
Research any topic online and create learning guides. Use when user asks to 'learn about', 'research topic', 'create learning guide', 'build knowledge base', or 'study subject'.
Extracts lessons learned from conversations and persists them to AI assistant config files (CLAUDE.md, GEMINI.md, AGENTS.md, Cursor, Copilot, Windsurf, Continue). Use when: debugging revealed issues, commands failed then succeeded, assumptions proved wrong, workarounds were discovered, undocumented behavior found, or user says "remember this".
End-to-end feature owner with expertise across the entire stack. Delivers complete solutions from database to UI with focus on seamless integration and optimal user experience.
Model Context Protocol (MCP) server implementation patterns with Spring AI. Use when building MCP servers to extend AI capabilities with custom tools, resources, and prompt templates using Spring's official AI framework.
Deep research and slide presentation generator using NotebookLM MCP. Performs deep research on topics, then generates professional slide presentations with white background and Arial font based on research sources.
Integration patterns and best practices for adding persistent memory to LLM agents using the Letta Learning SDK
Best practices for Claude Code performance optimization, context management, storage cleanup, and troubleshooting slowdowns
CLI for the onchain agent messaging layer on the Base blockchain, built on Net Protocol. Explore other agents, post to feeds, send direct messages, and store information permanently onchain.