bug-hunt-swarm

Coordinate parallel read-only sub-agents to diagnose software bugs and rank root causes.

Updated Jun 2, 2026
One-click install
npx skills add https://github.com/PicoMLX/SwiftSQLite --skill bug-hunt-swarm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bug-hunt-swarm
Source: https://github.com/PicoMLX/SwiftSQLite/tree/main/.agents/skills/bug-hunt-swarm
Command: npx skills add https://github.com/PicoMLX/SwiftSQLite --skill bug-hunt-swarm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill resolves complex, ambiguous, or persistent software bugs by coordinating a parallel investigation, preventing the need for manual, time-consuming trial-and-error debugging.

Core Features & Use Cases

  • Parallel Investigation: Deploys four specialized sub-agents to analyze reproduction, code paths, recent regressions, and proof strategies simultaneously.
  • Read-Only Safety: Ensures all investigation steps are non-mutating, protecting the codebase from accidental changes during the diagnostic phase.
  • Use Case: When a regression appears in a large codebase, use this skill to quickly identify the most likely root cause and the fastest path to proof without manually tracing every execution branch.

Quick Start

Use the bug-hunt-swarm skill to investigate the recent crash in the database connection module and provide a ranked diagnosis.

Frequently Asked Questions about bug-hunt-swarm

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

FAQPage Schema
How do I find the root cause of a software regression in a large codebase?

Root cause analysis for software regressions is performed by deploying multiple specialized sub-agents to investigate code paths and recent history in parallel, generating a ranked diagnosis.

What is the best way to troubleshoot ambiguous crashes without modifying the codebase?

To troubleshoot ambiguous crashes without modifications, this Skill performs read-only root-cause analysis using non-mutating evidence gathering to protect the codebase while identifying the fault.

How does parallel multi-agent debugging work for complex software bugs?

Parallel multi-agent debugging works by coordinating four specialized sub-agents to analyze reproduction steps, code paths, recent regressions, and proof strategies simultaneously, yielding a ranked diagnosis.

Can I use this root-cause analysis approach if I only have a vague problem statement?

This root-cause analysis approach requires a clear problem statement and codebase access to enable sub-agents to gather non-mutating evidence and generate a ranked diagnosis.

What are the limitations of using a read-only swarm for root-cause investigation?

A read-only root-cause investigation is limited to non-mutating evidence gathering, meaning it produces a ranked diagnosis but does not apply patches or modify the codebase to fix the bug.