What is the main benefit of using claudemem-orchestration?

It significantly reduces investigation time by running expensive code indexing once and allowing multiple specialized agents to analyze the output in parallel, providing a 3x speedup.

Does this skill help with large codebases?

Yes, it is specifically designed for complex codebases where full AST parsing is time-consuming and requires multi-perspective validation for accuracy.

How does it handle data cleanup?

It includes a session management lifecycle with an automatic 24-hour TTL (Time-To-Live) cleanup for temporary analysis files in the /tmp directory.

What tools are required for this skill?

This skill requires claudemem and utilizes standard terminal tools like Bash and Task to manage the orchestration flow.

Which agents are supported in the role-based mapping?

It supports Architect, Developer, Tester, Debugger, and Ultrathink roles, each with specific command sets tailored to their focus area like structure, impact, or coverage.

Claudemem Multi-Agent Orchestration

Name: Claudemem Multi-Agent Orchestration
Author: tianzecn

bytianzecn

0•

Developer Tools

Coordinates multiple AI agents to perform high-speed, parallel code analysis using shared claudemem data.

This skill enables efficient codebase investigation by orchestrating multiple Claude agents simultaneously. By running resource-intensive claudemem indexing commands once and sharing the output across a session-specific directory, it allows specialized agents—such as Architects, Developers, and Testers—to analyze the same codebase data from different perspectives without redundant computation. This pattern results in a 3x speedup for deep investigations and culminates in a consolidated, prioritized action plan using consensus-based analysis.

Key Features

01Role-Based Command Mapping: Automatically assigns optimized claudemem commands to specific Architect, Developer, and Tester roles.

02Automatic Session Cleanup: Includes a built-in lifecycle management system with a 24-hour TTL for temporary analysis data.

03Parallel Execution: Launch multiple specialized agents simultaneously for significantly faster code analysis.

04Consensus Analysis: Integrates findings from multiple perspectives into a single, high-confidence report.

050 GitHub stars

06Shared State Management: Run expensive AST indexing once and share output files across all agents in a session.

Use Cases

01Mapping complex legacy codebases to understand architecture and design patterns.

02Identifying test coverage gaps and dead code across large repositories in a single pass.

03Conducting multi-layered impact assessments for high-risk changes to core system symbols.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add tianzecn/myclaudecode claudemem-orchestration

For use in Claude.ai and ChatGPT

Download Skill