sop-dogfooding-pattern-retrieval

5 stars 1 forks

3-part dogfooding workflow Phase 2 - Query Memory-MCP for similar past fixes using vector search, rank patterns, optionally apply transformations. 10-30 seconds execution time.

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Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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Claude Code (CLI) Fast

skilz install DNYoussef/context-cascade/sop-dogfooding-pattern-retrieval

OpenCode (CLI) Fast

skilz install DNYoussef/context-cascade/sop-dogfooding-pattern-retrieval --agent opencode

OpenAI Codex (CLI) Native

skilz install DNYoussef/context-cascade/sop-dogfooding-pattern-retrieval --agent codex

Gemini CLI (Project) Project

skilz install DNYoussef/context-cascade/sop-dogfooding-pattern-retrieval --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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For Claude Desktop Easy

Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

Manual Installation

1. Clone the repository:

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

2. Copy the agent skill directory:

cp -r context-cascade/skills/quality/sop-dogfooding-pattern-retrieval ~/.claude/skills/

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Need detailed installation help? Check our platform-specific guides:

Claude Desktop Guide Claude Code Guide Troubleshooting

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Agentic Skill Details

Owner: DNYoussef (GitHub)
Repository: context-cascade
Stars: 5
Forks: 1
Type: Technical
Meta-Domain: development
Primary Domain: github
Market Score: 20

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