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autoresearchclaw-autonomous-research — Claude Code skill

A skill that wires up AutoResearchClaw, a 23-stage pipeline turning one topic string into a paper with verified citations and experiment code.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add reason-machines/trending-skills --skill autoresearchclaw-autonomous-research -a claude-code
Open on GitHub

What autoresearchclaw-autonomous-research does

The skill covers AutoResearchClaw, an external research engine you run from the terminal or from Python. Give it a topic and it searches arXiv and Semantic Scholar, forms hypotheses, writes experiment code, executes it in a sandbox and drafts a conference-style paper. Output lands in artifacts/rc-…/deliverables/, including paper.tex, references.bib and a citation integrity report.

Setup happens outside the agent: clone the repo, create a venv, pip install -e .. Python 3.11+ is required, plus configuration in config.arc.yaml. An LLM provider has to be picked there too. OpenAI and OpenRouter read keys from environment variables; the ACP option leans on an agent CLI for login instead.

Three stages stop for approval — literature screening, experiment design, final quality gate — so a long run does not go off the rails unnoticed. Adding --auto-approve drops those pauses. If a provider key or the agent CLI is missing, the run will not start.

What it helps with

  • turn a topic phrase into a full paper draft
  • run generated experiments in a sandbox and collect metrics
  • check citations against real sources before submission
  • produce LaTeX that matches conference formatting
  • resume a finished or interrupted run from a chosen stage

Example prompts for the agent

  • Run the autonomous pipeline on “efficient attention for long context” with --auto-approve
  • Generate a paper from my idea and show the citation verification report
  • Run only the stages from LITERATURE_COLLECT to KNOWLEDGE_EXTRACT

How to install autoresearchclaw-autonomous-research

1Skills CLI (Vercel)

npx skills add reason-machines/trending-skills --skill autoresearchclaw-autonomous-research -a claude-code

2Manually: put the files in place

~/.claude/skills/autoresearchclaw-autonomous-research/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/autoresearchclaw-autonomous-research/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about autoresearchclaw-autonomous-research

How to install autoresearchclaw-autonomous-research in Claude Code?

Run npx skills add reason-machines/trending-skills --skill autoresearchclaw-autonomous-research -a claude-code. The skill file then sits at ~/.claude/skills/autoresearchclaw-autonomous-research/SKILL.md.

What does autoresearchclaw-autonomous-research do?

It documents how to drive AutoResearchClaw, which takes a research topic through literature collection, sandboxed experiments, peer review and LaTeX drafting.

Does it need an API key?

With the openai or openrouter provider, yes — the key comes from an environment variable. Under ACP the agent CLI handles authentication on its own.

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