efficient-multi-agent-research
CommunityCoordinate multi-agent research at scale.
Authorleonletto
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Partition large research tasks across parallel sub-agents to prevent the main agent's context from being polluted by many findings.
Core Features & Use Cases
- Partition > Parallel Investigate > Consolidate > Decide workflow that writes results to disk and consolidates into a single report.
- Supports 4-5 agents with run_in_background per agent, and central consolidation.
- Ideal for auditing or reviewing more than six items across a codebase (e.g., function call sites, pattern usage, or file reviews).
Quick Start
Partition a large research task across parallel sub-agents and consolidate results into a single report.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: efficient-multi-agent-research Download link: https://github.com/leonletto/thrum/archive/main.zip#efficient-multi-agent-research Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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