autoresearch-prompt
CommunityOptimize prompts with AI-driven eval loops.
Authormaroffo
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the process of improving AI prompts by creating an iterative evaluation and refinement loop, ensuring prompts are highly effective for specific tasks.
Core Features & Use Cases
- Autonomous Prompt Optimization: Uses a Karpathy-style autoresearch pattern to continuously improve prompts based on evaluation results.
- Eval-Driven Experimentation: Runs prompts against labeled examples, analyzes failures, and makes targeted edits to
prompt.md. - Use Case: You have a prompt that isn't reliably classifying newsletter content. This Skill will automatically test variations of your prompt against a dataset of newsletters, identify why it fails, and iteratively refine it until it achieves high accuracy.
Quick Start
Run the autoresearch-prompt skill to evaluate the current prompt against the default evaluation set.
Dependency Matrix
Required Modules
anthropicpydantic
Components
scriptsreferencesassets
💻 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-prompt Download link: https://github.com/maroffo/claude-forge/archive/main.zip#autoresearch-prompt Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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