autoresearch-universal
CommunityContinuously optimize prompts with autonomous experiments
Software Engineering#prompt optimization#ai agents#repository analysis#cursor#evaluation metrics#autoresearch#mutation loop
Authorbalukosuri
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps teams improve prompts and AI-generated workflows by replacing manual trial-and-error with an autonomous experimentation loop that measures results, keeps improvements, and discards weaker iterations.
Core Features & Use Cases
- Repository Discovery and Optimization Planning: Scans a codebase, identifies possible improvement targets, and proposes measurable optimization goals.
- Autonomous Prompt Evolution: Defines binary evaluation criteria and runs generate-evaluate-score-mutate cycles with validation tracking, mutation strategies, and experiment logs.
- Use Case: Improve documentation quality, test generation, accessibility patterns, API outputs, or other measurable repository workflows by letting an AI agent iteratively refine the instructions that produce them.
Quick Start
Run autoresearch to analyze this repository, suggest optimization targets, and improve the selected workflow automatically.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: autoresearch-universal Download link: https://github.com/balukosuri/Andrej-Karpathy-s-Autoresearch-As-a-Universal-Skill/archive/main.zip#autoresearch-universal Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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