Researcher

Researcher is an AI Engineering skill for Claude Code, published by krzysztofdudek in ResearcherSkill.

258 stars27 forkson krzysztofdudek/ResearcherSkillAdded 2026/09/02+1% in starsRepository updated 2026/06/27

ai-agentai-codingautonomousautoresearchclaude-codecodexcursordeveloper-toolsexperimentationgemini-clioptimizationprompt-engineeringresearch-automationskill

Install in seconds

Install Researcher

Copy Researcher 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/krzysztofdudek/ResearcherSkill/tree/main/skills/researcher ~/.claude/skills/researcher

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/krzysztofdudek/ResearcherSkill.git

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

In this catalog

Source file: skills/researcher/SKILL.md in krzysztofdudek/ResearcherSkill
Installs to: ~/.claude/skills/researcher
Collection: The only skill cataloged from this repository
Category: AI Engineering — 2631 skills

What Researcher does

Researcher orchestrates autonomous experiment cycles for measurable goals like speed, accuracy, or pass rate. It plans, runs, logs, and resets experiments while protecting `.lab/` as the source of truth.

Researcher is cataloged under AI Engineering on DirSkills. Researcher comes from a repository tagged ai-agent, ai-coding, autonomous, autoresearch and claude-code.

Documentation

README

Excerpt

Researcher — Autonomous Experimentation Skill

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

Frequently asked about Researcher

How does Researcher compare to other AI Engineering skills?
Researcher ranks #2284 by stars among the 2631 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 Researcher against them. Open each page to compare what they document and how they install.