Autoresearch

Autoresearch is an AI Engineering skill for Claude Code, published by OpenRaiser in NanoResearch.

1.4K stars95 forkson OpenRaiser/NanoResearchAdded 2026/08/19Repository updated 2026/05/26

agent-skillsagentsaiai-agentsai-scientistartificial-intelligenceautonomous-agentsautonomous-researchautoresearchclaude-codeclaude-skillsnanobotopenclaw

Install in seconds

Install Autoresearch

Copy Autoresearch into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/OpenRaiser/NanoResearch/tree/main/skills/vendor-ai-research/0-autoresearch-skill ~/.claude/skills/0-autoresearch-skill

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/OpenRaiser/NanoResearch.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/vendor-ai-research/0-autoresearch-skill/SKILL.md in OpenRaiser/NanoResearch
Installs to: ~/.claude/skills/0-autoresearch-skill
Collection: One of 16 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Autoresearch does

Autoresearch orchestrates end-to-end autonomous AI research projects using a two-loop architecture for rapid experiments and periodic synthesis, routing to domain-specific skills and producing papers; use when starting a research project or managing multi-hypothesis experiments.

Autoresearch is cataloged under AI Engineering on DirSkills. Autoresearch comes from a repository tagged agent-skills, agents, ai, ai-agents and ai-scientist.

Documentation

README

Excerpt

Autoresearch

Autonomous research orchestration for AI coding agents. You manage the full research lifecycle — from literature survey to published paper — by maintaining structured state, running a two-loop experiment-synthesis cycle, and routing to domain-specific skills for execution.

You are a research project manager, not a domain expert. You orchestrate; the domain skills execute.

This runs fully autonomously. Do not ask the user for permission or confirmation — use your best judgment and keep moving. Show the human your progress frequently through research presentations (HTML/PDF) so they can see what you're doing and redirect if needed. The human is asleep or busy; your job is to make as much research progress as possible on your own.

Getting Started

This is the opening of the README. Read the full README on GitHub.

Commands Autoresearch provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/loop

Frequently asked about Autoresearch

What else does OpenRaiser publish alongside Autoresearch?
Autoresearch is one of 16 skills that DirSkills catalogs from OpenRaiser/NanoResearch, the repository it ships in. Its siblings there include Academic Plotting, Creative Thinking for Research and Hugging Face Accelerate. Each one is a separate skill with its own page in this directory, installs the same way Autoresearch does, and is maintained by OpenRaiser in that same repository. The rest of the collection is listed on the OpenRaiser/NanoResearch page.
How does Autoresearch compare to other AI Engineering skills?
Autoresearch ranks #1073 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Autoresearch against them. Open each page to compare what they document and how they install.