ClaudSkills / Science & Research / research-methods

Autoresearch

Quality score: 75/100  ·  Category: Science & Research  ·  Sub-category: research-methods
type:generator
Scaffold and run Karpathy-style autoresearch loops in any git repo. This skill should be used when setting up autonomous code improvement, generating adversarial eval harnesses, running hypothesis-implement-eval-keep/discard loops, or checking autoresearch progress. Triggers on "autoresearch", "autonomous improvement", "eval loop", "hypothesis loop", "self-improvement loop".

What this skill does

Autoresearch is a production-ready Claude Code skill (quality score 75/100) in the research-methods sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/autoresearch/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Autoresearch skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It is part of the open ClaudSkills registry, a community-curated catalog of 15,000+ capabilities you can install for Claude Code — the Claude CLI agent.

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/autoresearch
curl -L https://claudskills.com/skills/autoresearch/SKILL.md \
  -o ~/.claude/skills/autoresearch/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/autoresearch/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/autoresearch/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\autoresearch\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

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Part of ClaudSkills — the open registry for Claude Code skills.  ·  What's New  ·  Install guide  ·  About  ·  llms.txt