What is the main benefit of using spawn-research-agents?

It allows Claude to perform multiple research tasks simultaneously, significantly speeding up the process of understanding complex codebases compared to sequential searching.

How does it present the final research findings?

The skill follows a synthesis step that combines results from all specialized agents, providing a comprehensive report that includes specific file paths and line number references for full traceability.

Can this skill search the internet for answers?

Yes, if explicitly requested, you can spawn the 'web-search-researcher' agent to supplement internal codebase research with external technical documentation or community insights.

Which agents should I use first in the workflow?

The workflow recommends starting with 'locator' agents—specifically codebase-locator and thoughts-locator—to identify where relevant files and documentation reside before running deeper analyses.

Parallel Research Orchestrator

Name: Parallel Research Orchestrator
Author: eveld

byeveld

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Productivity & Workflow

Orchestrates specialized AI agents in parallel to perform deep, multi-faceted codebase investigations and documentation analysis.

The Parallel Research Orchestrator optimizes codebase exploration by deploying specialized sub-agents simultaneously to handle discovery, analysis, and pattern finding. Instead of sequential searching, this skill breaks down complex research questions into parallel tasks, using locators to find relevant files and analyzers to extract insights. It provides a structured workflow for developers to understand legacy code, map out system architectures, and synthesize findings with precise file references, significantly reducing the time required for manual code audits and technical discovery.

Key Features

01Structured four-stage workflow: Decompose, Locate, Analyze, and Synthesize

02Parallel execution of multiple specialized research tasks

03Deep-dive analysis and pattern discovery sub-agents

04Support for external web research to supplement internal codebase findings

05Specialized 'locator' agents for finding files and documentation

063 GitHub stars

Use Cases

01Investigating complex bugs that span across multiple modules and directories

02Rapidly onboarding to large, unfamiliar codebases by mapping core services

03Conducting impact analysis before performing large-scale refactoring

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add eveld/claude spawn-research-agents

For use in Claude.ai and ChatGPT

Download Skill