Extract Context from Output
CommunityExtract structured context from LLM output.
Software Engineering#structured data#prompt engineering#llm#iterative development#context extraction#ai feedback
AuthorHermeticOrmus
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the process of analyzing large language model outputs to identify key information such as patterns, constraints, and areas for improvement, thereby streamlining iterative development and enhancing AI-generated content.
Core Features & Use Cases
- Structured Context Extraction: Analyzes LLM outputs to extract domain primitives, patterns, constraints, complexity factors, success indicators, error patterns, and needed improvements.
- Iterative Refinement: Provides structured feedback to improve subsequent AI prompts and outputs.
- Use Case: After an AI generates code for a new feature, use this Skill to extract the identified patterns and constraints to inform the next prompt, ensuring the improved code adheres to best practices and specific requirements.
Quick Start
Use the extract-context skill to analyze the output from the file named 'agent_output.txt'.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 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: Extract Context from Output Download link: https://github.com/HermeticOrmus/hermetic-claude/archive/main.zip#extract-context-from-output Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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