researcher
SolidUse when user wants to optimize or tune something measurable through repeated experiments — "make X faster", "improve [metric]", "find best config", "iterate overnight", "run experiments until it hits N". Triggers on quantitative goals (build time, latency, pass rate, accuracy) or qualitative ones scoreable against a rubric (prompt quality, doc parsing). Skip for one-shot bugs with a clear fix or tasks where the user wants direct implementation without exploration.
Install
Quality Score: 88/100
Skill Content
Details
- Author
- krzysztofdudek
- Repository
- krzysztofdudek/ResearcherSkill
- Created
- 2 months ago
- Last Updated
- 4 days ago
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
research-collaborator
Use this skill whenever a researcher wants to test, validate, stress-test, or falsify a research idea or hypothesis — especially in AI/ML/deep learning. Trigger on phrases like "I have an idea," "would this work," "test this hypothesis," "sanity check my idea," "what's wrong with this idea," "review my results," "is this publishable," "why isn't this working," or any request to evaluate the feasibility, novelty, or correctness of a research concept.
research-experiment
Coordinate autonomous research experiments across multiple coding agents using isolated git worktrees. Use when a user wants the main agent to define a goal, constraints, acceptance criteria, and experiment boundaries, then dispatch Codex/Claude/Gemini or other agents to independently search for solutions without touching production code.
autoresearch
Autonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy's autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, autonomous coding loop. DO NOT USE FOR: one-shot tasks, simple bug fixes, code review, or tasks without a measurable metric.