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tianzecn
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claudemem-orchestration

Coordinate parallel code analysis agents using shared claudemem output.

2|Updated Dec 25, 2025
Search Tags:#orchestration#consensus#parallel#shared-output#claudemem
One-click install
npx skills add https://github.com/tianzecn/myclaudecode --skill claudemem-orchestration
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: claudemem-orchestration
Source: https://github.com/tianzecn/myclaudecode/tree/main/plugins/code-analysis/skills/claudemem-orchestration
Command: npx skills add https://github.com/tianzecn/myclaudecode --skill claudemem-orchestration

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires claudemem, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill coordinates multi-agent investigations by sharing claudemem output across parallel agents, enabling faster, consensus-driven analyses.

Core Features & Use Cases

  • Shared Output: index results once and reuse across agents.
  • Role-Based Distribution: map prompts to architect, tester, developer agents in parallel.
  • Consolidation: aggregate results with consensus findings.

Quick Start

Set up a shared map, emit results to session files, and orchestrate parallel agent tasks with consolidated output.

Frequently Asked Questions about claudemem-orchestration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I coordinate multiple agents to analyze the same codebase in parallel?▼

Multi-agent orchestration lets you run claudemem once to generate a shared index, then distribute that output to parallel agents with different roles—architect, tester, developer—for concurrent analysis of the same codebase without redundant processing.

Can I share claudemem output across multiple parallel investigations?▼

Yes. Claudemem-orchestration writes claudemem results to a shared session directory, allowing parallel agents to read and reuse the same index simultaneously, eliminating duplicate analysis and enabling consensus-driven findings.

How do I consolidate findings from multiple agents into prioritized action items?▼

After parallel agents complete their role-based analyses, claudemem-orchestration aggregates results with ultrathink to consolidate consensus findings and produce prioritized action items for architecture, test gaps, and dead-code areas.

What's the best way to identify test gaps and dead code across a large codebase?▼

Orchestrate role-based agents in parallel—architect for structure, tester for coverage gaps, developer for unused code—all reading from a single shared claudemem index to deliver consolidated, consensus-driven insights faster than sequential analysis.

Do I need to run claudemem multiple times for parallel agent analysis?▼

No. Claudemem-orchestration requires running claudemem once; agents share the output from a session directory, reducing redundant computation and enabling efficient parallel investigations of the same codebase.

Can claudemem-orchestration work with role-based agent distribution?▼

Yes. The Skill maps prompts to architect, tester, and developer agents in parallel, each analyzing the shared claudemem index from a different perspective to deliver specialized, coordinated findings.

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