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swe-swarm-analyze

Coordinate swarm agents to analyze large codebases and generate structured insights.

1|Updated Jan 16, 2026
Search Tags:#codebase#analysis#learning#agents#orchestration#memory#swarm
One-click install
npx skills add https://github.com/EarthmanWeb/serena-workflow-engine --skill swe-swarm-analyze
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: swe-swarm-analyze
Source: https://github.com/EarthmanWeb/serena-workflow-engine/tree/main/skills/swe-swarm-analyze
Command: npx skills add https://github.com/EarthmanWeb/serena-workflow-engine --skill swe-swarm-analyze

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzing large codebases with many modules is time-consuming and error-prone; this skill automates the process by coordinating swarm/DAA agents to generate structured insights.

Core Features & Use Cases

  • Deep architecture mapping, pattern detection, and domain extraction across thousands of files.
  • Memory synthesis for DOM_, SYS_ memories and architectural indexes to support onboarding and maintenance.
  • Use Case: Onboard a new feature by running a full swarm-based analysis to uncover dependencies and architecture drifts.

Quick Start

Initialize SWE and run the onboarding flow to begin swarm-based codebase analysis.

Frequently Asked Questions about swe-swarm-analyze

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

FAQPage Schema
How do I analyze a large multi-module codebase without spending hours on manual review?▼

You can analyze a large multi-module codebase by coordinating autonomous swarm agents to automatically generate structured architectural insights and map dependencies.

How does swarm-based architecture mapping work for domain extraction?▼

Swarm-based architecture mapping works by orchestrating autonomous agents to detect patterns, extract domains, and synthesize structured architectural indexes across thousands of files.

Can I use swarm agents to generate memory for onboarding new features?▼

Yes, you can use swarm agents to generate synthesized memory indexes for domains and systems, which helps uncover dependencies and architecture drifts during onboarding.

What is the best way to coordinate autonomous agents for deep codebase analysis?▼

The best way to coordinate autonomous agents for deep codebase analysis is using a DAA-powered swarm approach to ensure safe, modular execution across large repositories.

Does this codebase analysis approach work for repositories with thousands of files?▼

Yes, this codebase analysis approach is designed for big multi-module repos, effectively mapping deep architecture and detecting patterns across thousands of files.

When do I need to synthesize architectural memory for codebase maintenance?▼

You need to synthesize architectural memory when maintaining large codebases to support onboarding, track architecture drifts, and generate structured domain and system insights.

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