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AI & Agents
LLMs, agent workflows, RAG, MCP, prompting, and AI app patterns
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Showing 1,105–1,128 of 302,729 skills
- 1297 Setup B654d69dConfigure ccproxy/LiteLLM to use Claude Code with any LLM providerVotes: 0GitHub stars: 9
- 1297 Setup 968bf76dConfigure Claude Code statuslineVotes: 0GitHub stars: 9
- 1297 Setup 3e64c603Configure Supabase MCP with OAuth authenticationVotes: 0GitHub stars: 9
- 1213 Commit And Push 356ae692Commit staged changes and push to the remote branchVotes: 0GitHub stars: 9
- 120 Fn 20 Svm 49143ca3Blocked on native custom subagent support in Codex.Votes: 0GitHub stars: 9
- 118 Onboarding E59a6011This guide provides instructions for setting up the Prompt-Driven Development (PDD) toolkit. It includes a quick start for users and a comprehensive guide for developers contributing to the project.Votes: 0GitHub stars: 9
- 118 Onboarding 9f9ca6e1This guide provides instructions for setting up the Prompt-Driven Development (PDD) toolkit. It includes a quick start for users and a comprehensive guide for developers contributing to the project.Votes: 0GitHub stars: 9
- 1178 Mcptoolbench 39d6031bMCPToolBench++ evaluates AI agents on MCP tool discovery, selection, invocation, and result interpretation across 45+ categories with accuracy-threshold-based evaluation.Votes: 0GitHub stars: 9
- 1178 Mcptoolbench 23c2e0c1MCPToolBench++ evaluates AI agents on MCP tool discovery, selection, invocation, and result interpretation across 45+ categories with accuracy-threshold-based evaluation.Votes: 0GitHub stars: 9
- 1178 Mcptoolbench 1a836d59MCPToolBench++ benchmark for evaluating MCP tool discovery, selection, invocation, and result interpretation.Votes: 0GitHub stars: 9
- 1176 Humaneval A8f592afHumanEval evaluates AI agents on 164 Python programming problems from OpenAI, testing code generation from function signatures and docstrings with unit test verification.Votes: 0GitHub stars: 9
- 1176 Humaneval A56f5f43HumanEval evaluates AI agents on 164 Python programming problems from OpenAI, testing code generation from function signatures and docstrings with unit test verification.Votes: 0GitHub stars: 9
- 1160 Installation D8c21bf4Complete installation instructions for planning-with-files.Votes: 0GitHub stars: 9
- 1156 Wiki Home Page Bfb9e112> **Work like Manus** — the AI agent company Meta acquired for **$2 billion**. This is a Claude Code skill that transforms your workflow to use persistent markdown files for planning, progress tracking, and knowledge storage.Votes: 0GitHub stars: 9
- 1155 Contributors C556f13cThank you to everyone who has contributed to making this project better!Votes: 0GitHub stars: 9
- 1155 Contributors B462a0b1Thank you to everyone who has contributed to making `planning-with-files` better!Votes: 0GitHub stars: 9
- 1155 Contributors 95bbd67eThank you to everyone who has contributed to making `planning-with-files` better!Votes: 0GitHub stars: 9
- 1155 Contributors 3d6bad46Thank you to everyone who has contributed to making `planning-with-files` better!Votes: 0GitHub stars: 9
- 1078 Getting Started E8ad6ee7**New here? This guide will help you supercharge your AI Agent in 5 minutes.** ---Votes: 0GitHub stars: 9
- 1078 Getting Started Bb1b9919**New here? This guide will help you supercharge your AI Agent in 5 minutes.** > **💡 Confused about what to do after installation?** Check out the [**Complete Usage Guide**](USAGE.md) for detailed explanations and examples! ---Votes: 0GitHub stars: 9
- 1078 Getting Started 8bfc9df5**New here? This guide will help you supercharge your AI Agent in 5 minutes.** > **💡 Confused about what to do after installation?** Check out the [**Complete Usage Guide**](USAGE.md) for detailed explanations and examples! ---Votes: 0GitHub stars: 9
- 1078 Getting Started 679fe9a5**New here? This guide will help you supercharge your AI Agent in 5 minutes.** > **💡 Confused about what to do after installation?** Check out the [**Complete Usage Guide**](USAGE.md) for detailed explanations and examples! ---Votes: 0GitHub stars: 9
- 1061 Llms 7ead152fAider can connect to most LLMs for AI pair programming.Votes: 0GitHub stars: 9
- 097 Index C5c1c42dComprehensive reference documentation for the mcpbr Python API. Use these modules to programmatically configure, execute, and analyze MCP server benchmarks.Votes: 0GitHub stars: 9