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extract-context

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Turn LLM outputs into extraction context.

Data & Analytics#JSON#XML#prompt-engineering#LLM-output#extract-context#structured-context
Authormanutej
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill analyzes LLM outputs to identify patterns, constraints, success indicators, and improvement opportunities, enabling structured context for iterative prompting.

Core Features & Use Cases

  • 7-phase extraction framework: pulls domain primitives, patterns, constraints, complexity factors, success indicators, and improvements from any agent output.
  • Structured outputs: returns parseable context for the next iteration in XML/JSON formats.
  • Use Case: After an LLM run, extract the context to guide the next prompt and close gaps between iterations.

Quick Start

Run the extractor on your latest agent output to generate structured context for the next prompt. Then feed the result into your subsequent prompt.

Dependency Matrix

Required Modules

None required

Components

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: extract-context
Download link: https://github.com/manutej/meta-prompting-framework/archive/main.zip#extract-context

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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