Comprehensive library of 83 AI research engineering skills enabling autonomous AI research from hypothesis to experimental verification
How to install ai-research-skills?
firecrawl/ai-research-skills
$claude plugin marketplace add firecrawl/ai-research-skillsInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Install ai-research-skills by running `claude plugin marketplace add firecrawl/ai-research-skills`, then use it for the current task and follow its documentation at https://github.com/firecrawl/ai-research-skills.
Related
6 picksType
- ai-engineering-hubIn-depth tutorials on LLMs, RAGs and real-world AI agent applications.Jul 2026
- mlflowThe 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.Jul 2026
- skilloptSkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.Jul 2026
- skillsCore Hugging Face Hub operations through the hf CLI, including skill installation, repo management, jobs, datasets, models, Spaces, and discovery.Jul 2026
- skillsAgent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.Jul 2026
- fable-methodThe Fable Workflow: how Claude Fable 5 worked, distilled into four skills any model can run. Think (fable-method), act (fable-loop), prove (fable-judge), grow (fable-domain). Evidence-backed: ships its own eval, failures included.Jul 2026
