AI-Research-SKILLs

A library of 98 Agent Skills covering AI research tasks end to end.

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// about

AI Research SKILLs lets an AI agent carry out AI research work such as model architecture selection, fine-tuning, post-training, and inference. Each skill follows the SKILL.md format and includes quick-reference docs, deeper reference material, helper scripts, and examples drawn from real GitHub issues.

// how to install
Run npx @orchestra-research/ai-research-skills, which auto-detects supported coding agents and installs selected skills.
// works with Claude CodeOpenCodeCursorCodexGemini CLI

// what’s inside

This repository bundles the following skills:

  • LitGPT: Skill for training and fine-tuning models with the LitGPT framework.
  • Mamba: Skill for working with the Mamba state-space model architecture.
  • Axolotl: Skill for fine-tuning language models using Axolotl.
  • PEFT: Skill for parameter-efficient fine-tuning methods.
  • Unsloth: Skill for fast, memory-efficient fine-tuning.
  • TRL: Skill for reinforcement-learning-based post-training.
  • vLLM: Skill for serving models efficiently.
  • llama.cpp: Skill for running inference with llama.cpp.
  • LangChain: Skill for building agent workflows with LangChain.