AI Research Skills Library

The most comprehensive open-source skills library enabling AI agents to autonomously conduct AI research — from idea to paper

View All 23 Categories

Autoresearch (1)	Ideation (2)	ML Paper Writing (2)
Model Architecture (5)	Fine-Tuning (4)	Post-Training (8)
Distributed Training (6)	Optimization (6)	Inference (4)
Tokenization (2)	Data Processing (2)	Evaluation (3)
Safety & Alignment (4)	Agents (4)	RAG (5)
Multimodal (7)	Prompt Engineering (4)	MLOps (3)
Observability (2)	Infrastructure (3)	Mech Interp (4)
Emerging Techniques (6)	Agent-Native Research Artifact (3)

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Table of Contents

• Our Mission
• Path Towards AI Research Agent
• Available AI Research Engineering Skills
• Demos
• Skill Structure
• Roadmap
• Repository Structure
• Use Cases
• Contributors
• Citation
• Community

Our Mission

We enable AI agents to autonomously conduct AI research — from literature survey and idea generation through experiment execution to paper writing. The library provides both the research orchestration layer (autoresearch, ideation, paper writing) and the engineering skills (training, evaluation, deployment) needed at each stage.

System diagram of an AI research agent

Path Towards AI Research Agent

Modern AI research requires mastering dozens of specialized tools and frameworks.
AI Researchers spend more time debugging infrastructure than testing hypotheses — slowing the pace of scientific discovery.
We provide a comprehensive skills library that enables AI agents to autonomously conduct the full research lifecycle — from brainstorming ideas to writing the paper.

• Autonomous Research - The autoresearch skill orchestrates the entire research workflow using a two-loop architecture, routing to domain skills as needed
• Specialized Expertise - Each domain skill provides deep, production-ready knowledge of a specific framework (Megatron-LM, vLLM, TRL, etc.)
• End-to-End Coverage - 98 skills spanning the full AI research lifecycle, from ideation and literature survey to experiments and paper writing
• Research-Grade Quality - Documentation sourced from official repos, real GitHub issues, and battle-tested production workflows

Available AI Research Engineering Skills

Quality over quantity: Each skill provides comprehensive, expert-level guidance with real code examples, troubleshooting guides, and production-ready workflows.

📦 Quick Install (Recommended)

For humans — interactive installer with one command:

npx @orchestra-research/ai-research-skills

For AI agents — point your agent to the welcome doc and it handles the rest:

Read https://www.orchestra-research.com/ai-research-skills/welcome.md and follow the instructions to install and use AI Research Skills.

This installs all 98 skills, loads the autoresearch orchestration layer, and starts autonomous research.

What the installer does

• Auto-detects your installed coding agents (Claude Code, Hermes Agent, OpenCode, Qoder, Cursor, Gemini CLI, etc.)
• Installs skills to ~/.orchestra/skills/ with symlinks to each agent (falls back to cop