Orchestra Research Ai Research Skills
orchestra-research-ai-research-skills is a Claude Code plugin for the Idea phase that packages Orchestra Research’s multi-skill AI research library so your agent can run structured research and engineering workflows acro
by Orchestra-Research · github.com/Orchestra-Research/AI-Research-SKILLs
Install when you want a bundled library of AI research and engineering skills so your coding agent can run serious experimentation, eval, and model workflows—not just chat prompts.
Add it to Claude Code
Install the plugin in Claude Code. One command, paste-ready.
/plugin install orchestra-research-ai-research-skills@Orchestra-Research/AI-Research-SKILLsBuilt to be called by your agent
Skillselion is itself an MCP server. Your agent can pull this entry and a paste-ready install config straight from the API - no copy-paste.
Retrieve this entry with skillselion.get_details("plugin:Orchestra-Research/AI-Research-SKILLs") and the paste-ready config with skillselion.get_install_config("plugin:Orchestra-Research/AI-Research-SKILLs").
What it does
orchestra-research-ai-research-skills is a Claude Code plugin distribution of Orchestra Research’s AI-Research-SKILLs repository—a large, open skill library for people who treat models as a first-class product surface, not an afterthought. Solo builders and tiny ML teams use it when they need curated invoke patterns for finetuning, evaluation, agent orchestration, data curation, and emerging architecture topics without authoring dozens of SKILL.md files themselves. The catalog positions it at Idea and research because that is when you decide whether to fine-tune, RAG, or ship a thin API wrapper—but the same skills remain useful while you scope validation experiments, wire agent tooling in Build, and iterate in Operate. It is breadth over a single vertical integration: expect pointers and workflows across the research stack rather than one click-to-deploy SaaS connector. Confidence is high on scope from the stated plugin count and maintainer positioning; individual skill depth should be confirmed per skill inside the bundle.
Highlights
- Open-source library maintained by Orchestra Research spanning research and engineering workflows.
- 22 plugins packaged as skills for Claude Code, Codex, Gemini-style agents, and similar tooling.
- Coverage across finetuning, benchmarking, RAG, agents, guardrails, interpretability, and deployment topics.
- Designed to turn a general coding agent into a research-capable assistant with structured skill invocations.
- Broad keyword surface: Hugging Face, LangChain, DeepSpeed, diffusion, distributed training, and experiment harnesses.
Why builders use it
You want a research-grade agent stack but assembling finetuning, eval, and orchestration skills one by one is too slow for a solo builder.
After registration you get 22 research-oriented plugins your agent can call for experiments, benchmarks, and ML engineering tasks aligned with Orchestra Research’s maintained skill set.
At a glance
- Type - Plugin in AI Agents.
- Adoption - 0 installs, 6.2k stars, 0 votes.
FAQ
Who is orchestra-research-ai-research-skills for?
It is for developers and researchers using AI coding agents who need broad AI/ML research and engineering skills in one Orchestra-maintained bundle.
When should I use orchestra-research-ai-research-skills?
Use it when you are exploring model approaches, designing evals, building agent features, or running experiments across the product lifecycle.
How do I add orchestra-research-ai-research-skills to my agent?
Add the Orchestra-Research/AI-Research-SKILLs plugin from Skillselion to Claude Code (or compatible agents), then enable the individual skills your workflow needs from the 22-plugin set.
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