Context Engineering Framework

Extract context from URLs, raw text, and files into structured YAML or JSON.

Updated Aug 23, 2026

Search Tags:#structured data #llm #context engineering #json #yaml #information extraction

One-click install

npx skills add https://github.com/customer-cloud-club/meeting-visualizer --skill context-engineering-framework-customer-cloud-club

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: Context Engineering Framework
Source: https://github.com/customer-cloud-club/meeting-visualizer/tree/main/.claude/skills/context-eng
Command: npx skills add https://github.com/customer-cloud-club/meeting-visualizer --skill context-engineering-framework-customer-cloud-club

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill defines a generic autonomous agent framework to extract context from diverse sources (URLs, raw text, files) and produce structured data in formats like YAML or JSON, reducing manual context gathering.

Core Features & Use Cases

Unified agent specification: A blueprint for processing inputs and producing structured outputs.
Multi-source processing: Handles URL, raw text, and files; cross-source context assembly.
Use Case: Build a context map from a research document and related articles, then persist as a structured document.

Quick Start

Run the framework to initialize an agent with source_type: 'url_list' and sources pointing to your docs.