context-cascade

🥈Silver

Context Cascade - Nested Plugin Architecture for Claude Code Official Claude Code Plugin | Version 3.1.0 | Last updated: 2026-01-09 (see docs/COMPONENT-COUNTS.json for source counts) Context-saving nested architecture: Playbooks -> Skills -> Agents -> Commands. Load only what you need, saving 90%+ context space.

2040Updated Today

Intermediate30min to implementautomation

Saves ~180 min per use

Quick InstallView Source

git clone https://github.com/DNYoussef/context-cascade.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/DNYoussef/context-cascade

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Act as a Context Cascade architect. Design a nested plugin architecture for [COMPANY] in the [INDUSTRY] sector. The architecture should include 2 Playbooks, 4 Skills, 8 Agents, and 16 Commands. Optimize for [DATA] processing efficiency. Provide a clear hierarchy and explain how each level interacts with the others.

Example Output

# Context Cascade Architecture for GreenTech Solutions

## Playbooks
1. **Sustainability Analytics Playbook**
   - Focus: Environmental impact assessment
   - Skills: Data Collection, Impact Analysis
2. **Operational Efficiency Playbook**
   - Focus: Process optimization
   - Skills: Workflow Analysis, Resource Allocation

## Skills Hierarchy
### Data Collection Skill
- **Agents:**
  - Sensor Data Agent
  - Satellite Imagery Agent
  - IoT Device Agent
- **Commands:**
  - Data Validation Command
  - Data Normalization Command
  - Data Aggregation Command

### Impact Analysis Skill
- **Agents:**
  - Carbon Footprint Agent
  - Water Usage Agent
  - Energy Consumption Agent
- **Commands:**
  - Trend Analysis Command
  - Scenario Modeling Command
  - Compliance Check Command

## Interaction Flow
1. Playbooks initiate high-level objectives
2. Skills break down objectives into actionable tasks
3. Agents execute specific data gathering or analysis tasks
4. Commands perform granular operations within agents