skills.rest
krzysztofdudekkrzysztofdudekCommunity·1 Agent Skills Included

ResearcherSkill

Autonomous experiment loops that optimize any measurable metric

Runs autonomous experiment loops to optimize any measurable target, from build times and API latency to prompt accuracy and test pass rates. Eliminates manual trial-and-error by testing hypotheses, keeping what works, discarding failures, and logging every result on git branches. Detects plateaus, forks new strategies, and resumes across sessions so improvements continue overnight without supervision.
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npx skills add krzysztofdudek/ResearcherSkill --all -g -y

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krzysztofdudekkrzysztofdudek

researcher

Automate experiment design, execution, and iteration for AI research tasks.

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Frequently Asked Questions

FAQPage Schema
How to install ResearcherSkill?▼

Run `npx skills add krzysztofdudek/ResearcherSkill --all -g -y` in your terminal to install the skill globally for your agent.

What problems does the researcher skill solve?▼

It optimizes anything measurable, such as slow builds, flaky tests, API latency, or prompt accuracy, by running repeated experiments and keeping only changes that improve your metric.

How does the experiment loop work?▼

The agent interviews you about the goal and metric, sets up a lab on a git branch, then commits, measures, and logs each experiment autonomously, discarding failures and forking new strategies when stuck.

Does it work with Claude Code, Codex, and Cursor?▼

Yes. The single SKILL.md file follows the universal skill standard and runs in Claude Code, GitHub Copilot CLI, Codex, Cursor, and any agent that reads markdown skills.

Can it improve things without a numeric metric?▼

Yes. For qualitative goals like prompt quality, it builds a scoring rubric with you and uses multiple independent evaluator subagents to score each experiment fairly.

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