AI Agent Skills

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Machine Learning Engineering Open Book

Harness engineering beginner tutorial, from 0 to 1

🛠️ Awesome tools & guides for harness engineering.

🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLM…

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

The agent engineering platform.

🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK,…

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit con…

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.

Learn ML engineering for free in 4 months! Register here 👇🏼

AI You Control: Choose your models. Own your data. Eliminate vendor lock-in.

The first AI agent that builds permissionless integrations through reverse engineering platforms' internal APIs.

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