book-prompt-optimizer
CommunityOptimize AI remaster prompts automatically
Software Engineering#quality assurance#prompt engineering#machine learning#AI optimization#remastering
Authorshuff57
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses systematic failures in AI remaster outputs by automatically optimizing the remaster prompt using a linter as the scorer and a critic agent to patch failing rules.
Core Features & Use Cases
- Automated Prompt Optimization: Runs a score-and-iterate loop using a linter and critic agent.
- Quality Checks: Ensures remaster outputs meet quality standards.
- Use Case: Ideal for batches of remastered sections where multiple sections are failing linter rules.
Quick Start
Run the optimization process with the command: python3 scripts/workflows/optimize_prompt.py --prompt prompts/remaster-chapter.md --target 95 --iterations 6 --provider ollama --model kimi-k2.5:cloud
Dependency Matrix
Required Modules
scripts/workflows/lint_remaster.pyscripts/workflows/optimize_prompt.py
Components
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: book-prompt-optimizer Download link: https://github.com/shuff57/agent-evo/archive/main.zip#book-prompt-optimizer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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