Individual skill
autoresearch
Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experiments, or managing a multi-hypothesis research effort.
0-autoresearch-skill/SKILL.md
Source commit 773a52944ba4747a18bd4ae9ade53fff041adcbc
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- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 14,460
- Repository last updated
- Oct 11, 2026
- License
- MIT
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- ai Repository topic
- ai-research Repository topic
- claude Repository topic
- claude-code Repository topic
- claude-skills Repository topic
- codex Repository topic
- gemini Repository topic
- gpt-5 Repository topic
- grpo Repository topic
- huggingface Repository topic
- autonomous-research Declared skill tag
- two-loop-architecture Declared skill tag
- experiment-orchestration Declared skill tag
- research-synthesis Declared skill tag
- project-management Declared skill tag
- engineering Derived category
- research Derived category
- testing Derived category
- testing-browser Derived category
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SKILL.mdcore · 24,945 bytesSKILL.mdcore · 24,945 bytesreferences/agent-continuity.mddoc · 4,690 bytesreferences/progress-reporting.mddoc · 6,467 bytesreferences/skill-routing.mddoc · 8,546 bytestemplates/findings.mddoc · 1,494 bytestemplates/progress-presentation.htmlasset · 8,685 bytestemplates/research-log.mddoc · 5,011 bytestemplates/research-state.yamlasset · 2,102 bytes
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# 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
Users arrive in different states. Determine which and proceed:
| User State | What to Do |
|---|---|