Choose skills by scenario, quality, and trust signals.

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia & v0. (And other Open Sourced) System Prompts, Internal Tools & AI Models

Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code

Build, run, and manage agent platforms.

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

A Claude Code plugin that shows what's happening - context usage, active tools, running agents, and todo progress

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Pre-indexed code knowledge graph for Claude Code, Codex, Cursor, OpenCode, and Hermes Agent — fewer tokens, fewer tool calls, 100% local

Clone any website with one command using AI coding agents

All parts of Claude Code's system prompt, 27 builtin tool descriptions, sub agent prompts (Plan/Explore/Task), utility prompts (CLAUDE.md, compact, statusline, magic docs, WebFetch, Bash cmd, security review, agent creation). Updated for each Claude Code version.

Build, Manage and Deploy AI/ML Systems

AI Observability & Evaluation

⚙️🦀 Build modular and scalable LLM Applications in Rust

Plano is an AI-native proxy and data plane for agentic apps — with built-in orchestration, safety, observability, and smart LLM routing so you stay focused on your agents core logic.

Open-source context retrieval layer for AI agents

🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓

DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.

Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from development, debugging, and evaluation to monitoring.

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

Spec-driven development for large codebases

🐢 Open-Source Evaluation & Testing library for LLM Agents

The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.

Multi-agent AI orchestration platform for automation, workflows, and developer tools. Golutra transforms Codex, Claude Code, and OpenClaw into a unified agent system with parallel execution, task orchestration, long-running workflows, and AI productivity workspace.

AI Agent that handles engineering tasks end-to-end: integrates with developers’ tools, plans, executes, and iterates until it achieves a successful result.

Surface AI blindspots before you ship. Put up to 8 AI models on every research, design or coding task.

Evaluation and Tracking for LLM Experiments and AI Agents

The platform for LLM evaluations and AI agent testing

AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.

🛰️ A CLI tool for tracking token usage from OpenCode, Claude Code, 🦞OpenClaw (Clawdbot/Moltbot), Pi, Codex, Gemini, Cursor, AmpCode, Factory Droid, Kimi, and more! • 🏅Global Leaderboard + 2D/3D Contributions Graph

Laminar - open-source observability platform purpose-built for AI agents. YC S24.

Raptor turns Claude Code into a general-purpose AI offensive/defensive security agent. By using Claude.md and creating rules, sub-agents, and skills, and orchestrating security tool usage, we configure the agent for adversarial thinking, and perform research or attack/defense operations.

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Deploy serverless AI workflows at scale. Firebase for AI agents

🏕️ Reproducible development environment for humans and agents

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

📚 Sync skills across all AI CLI tools with one command and simplify team sharing. Supporting Codex, Claude Code, OpenClaw & more

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

Practical productivity tools for Claude Code, Codex-CLI, and similar CLI coding agents.

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

A lightweight desktop app to manage, sync, and organize AI agent skills across 15+ coding tools — Cursor, Claude Code, Codex, Copilot, and more.

AI agent framework for plan-first development workflows with approval-based execution. Multi-language support (TypeScript, Python, Go, Rust) with automatic testing, code review, and validation built for OpenCode

The LLM Anti-Framework

SwiftUI agent skill for Claude Code, Codex, and other AI tools.

A reactive runtime for building durable AI agents

Observal is an Observability and Evaluation platform for human-in-the-loop agents

A framework for comprehensive diagnosis and optimization of agents using simulated, realistic synthetic interactions

🚀 Open source Claude Code CLI source code. Advanced AI Agent for developers. Includes TypeScript codebase for LLM tool-calling, agentic workflows, and terminal UI. Remember this is just the skeleton not the brain itself. Found by Chaofan Shou.

Independently authored prompt templates for AI coding agents — system prompts, tool prompts, agent delegation, memory management, and multi-agent coordination. Informed by studying Claude Code.

Dynamiq is an orchestration framework for agentic AI and LLM applications

Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.

Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.

AI coding workstation: Claude Code + web UI + 7 AI CLIs + headless browser + 50+ tools

Open source AI coding agent. Designed for large projects and real world tasks.

A curated list of awesome LLM and AI Agent Skills, resources and tools for customising AI Agent workflows - that works with Claude Code, Codex, Gemini CLI and your custom AI Agents

Turn any workflow into reusable AI agent skills that install on 14+ tools — Claude Code, Copilot, Cursor, Windsurf, Codex, Gemini, Kiro, and more. One SKILL.md, every platform.

Claude Code Skill for browser automation with Playwright. Model-invoked - Claude autonomously writes and executes custom automation for testing and validation.

MyAgents - 优雅、易用的 Agent 桌面端 ，一站式 Agent 工作台与任务中心

AI Agent Development Platform - Supports multiple models (OpenAI/DeepSeek/Wenxin/Tongyi), knowledge base management, workflow automation, and enterprise-grade security. Built with Flask + Vue3 + LangChain, featuring one-click Docker deployment.

Lightweight orchestration platform built for your AI agents. The unfiltered truth about where your project stands.

Fast, streaming indexing, query, and agentic LLM applications in Rust

A lightweight terminal coding assistant with Claude Code-like workflow, tool loop, and TUI architecture, built for learning and experimentation. Multi-language support: TypeScript , Python and Rust implementations available now.

A high-performance desktop application for managing skills across multiple AI coding assistants. Seamlessly organize, sync, and share skills for Claude Code、Codex、Opencode and other AI tools. Built with Tauri 2.0, React 19, and Rust.

Run Claude Code, Codex, and Gemini side by side — each in its own git worktree

GPU-accelerated terminal board that puts all your sessions on an infinite canvas

The only real free CLI agent. Harvests your Gemini (guest, no login) · Claude.ai · Claude Code · Kimi · Qwen · DeepSeek browser session and turns it into a tool-calling agent — reads & edits files, runs Bash, greps your repo, browses the web, ships commits, all from your terminal. Frontier IA driving real work at $0

Browse, create, and edit AI agent files across Claude Code, Cursor, Codex, and 13+ tools — from Obsidian.

Track token usage across 22 AI coding tools (Claude Code, Codex, Cursor, Gemini, Roo Code, Zed Agent, Goose, and more) — local-first, zero-config, with a beautiful dashboard, native macOS menu bar app, and 4 desktop widgets.

Claude Code Skills for software engineering workflows - Git automation, testing, and code review

This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT-4 LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.

RepoMaster: The open-source AI agent that masters GitHub. It turns any code repository into a powerful tool, achieving a new level of autonomous task-solving. An open alternative to Claude-Code.

⛓️ Serving LangChain LLM apps and agents automagically with FastApi. LLMops

Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.

Data-Driven Evaluation for LLM-Powered Applications

🕵️‍♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.