# bug-hunt-swarm

Investigates bugs with parallel sub-agents and ranks likely root causes. Use it for regressions, crashes, flaky behaviour, and failures when code edits must wait.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 713 installs · ★ 4009
- Author: Dimillian
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/Dimillian/Skills/tree/HEAD/bug-hunt-swarm/SKILL.md
- Updated: 2026-03-29
- HTML: https://affpapa.org/en/nevibecode/skills/bug-hunt-swarm

## What it does

The skill builds a compact bug packet from the symptom, expected and actual behaviour, reproduction steps, impact scope, and evidence. It reads nearby project instructions such as `AGENTS.md` and relevant documentation before narrowing the investigation.

For a large or ambiguous issue, four sub-agents work in parallel. They cover reproduction boundaries, the code path, recent changes through `git diff`, `git log`, and `git show`, plus the shortest proof plan. They can inspect logs, traces, configuration, and existing tests. Their work remains read-only.

The main agent merges findings, drops unsupported speculation, and ranks the remaining hypotheses with evidence, missing proof, confidence, and a next check. This skill does not edit files, so a fix needs a separate follow-up step.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add Dimillian/Skills --skill bug-hunt-swarm -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/bug-hunt-swarm/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/bug-hunt-swarm/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add Dimillian/Skills --skill bug-hunt-swarm -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/bug-hunt-swarm/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add Dimillian/Skills --skill bug-hunt-swarm -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/bug-hunt-swarm/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install Dimillian/Skills bug-hunt-swarm
```

2. **Manually: put the files in place**
- File: `.github/skills/bug-hunt-swarm/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add Dimillian/Skills --skill bug-hunt-swarm -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/Dimillian/Skills --path bug-hunt-swarm
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/bug-hunt-swarm/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add Dimillian/Skills --skill bug-hunt-swarm -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/Dimillian/Skills/tree/HEAD/bug-hunt-swarm/SKILL.md

## When to use it
- trace a regression through recent Git history
- locate the code seam where behaviour diverges
- narrow down the trigger for a flaky failure
- match logs and traces against root-cause hypotheses
- choose the smallest step that can prove a theory

## Example prompts
- Investigate this crash, rank the likely causes, and give me the shortest proof step.
- Trace this regression through recent Git changes without editing files.
- Analyse this flaky test from its logs and list evidence-backed hypotheses.

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: c6a77a082ceef533.

BEGIN THIRD-PARTY FILE c6a77a082ceef533
```text
---
name: bug-hunt-swarm
description: "Parallel read-only multi-agent root-cause investigation for bugs, regressions, crashes, flaky behavior, or unexplained failures. Use when the user asks to investigate a bug, find the root cause, trace a regression, understand why something broke, or wants a ranked diagnosis with the fastest proof path without making code edits."
---

# Bug Hunt Swarm

Investigate a bug with four read-only sub-agents in parallel, then have the main agent rank the likely causes and recommend the fastest path to prove or fix the issue. This skill is diagnosis-first: do not edit files or implement fixes as part of this workflow.

## Step 1: Build the Bug Packet

Start by collecting the smallest useful investigation packet:

1. Symptom
2. Expected behavior
3. Actual behavior
4. Reproduction steps, if known
5. Scope of impact
6. Relevant evidence, such as logs, stack traces, failing tests, screenshots, recent diffs, or environment details

Prefer this source order:

1. Direct user description
2. Explicit files, stack traces, logs, tests, or screenshots provided by the user
3. Current git changes or recent repo history when the bug appears regression-like
4. The smallest relevant code path or subsystem surrounding the failure

If the bug report is underspecified, infer a minimal problem statement and say what is still unknown.

Before launching sub-agents, read the closest project instructions and relevant docs for the touched area, such as:

- `AGENTS.md`
- repo workflow docs
- architecture, state, routing, schema, or runtime docs for the affected subsystem

## Step 2: Bound the Investigation

Write a short investigation brief for the swarm:

1. What appears broken
2. What is not yet proven
3. What part of the system is most likely involved
4. What evidence already exists
5. What kind of proof would count as confirmation

Use read-only evidence gathering where useful:

- `rg`, `git diff`, `git log`, `git show`
- reading logs, crash traces, and config
- existing test runs or the smallest safe reproduction command

Do not edit files, inject new instrumentation, or implement fixes as part of this skill.

## Step 3: Launch Four Read-Only Investigators in Parallel

Launch four sub-agents when the problem is large or ambiguous enough that parallel investigation helps. For a tiny and obvious issue, it is acceptable to investigate locally instead.

For every sub-agent:

- give the same bug packet and investigation brief
- state that the sub-agent is read-only
- do not let the sub-agent edit files, run `apply_patch`, stage changes, commit, or perform any other state-mutating action
- ask for concise investigation output only
- ask for: hypothesis, supporting evidence, missing evidence, smallest proof step, and confidence
- tell the sub-agent to avoid generic code quality feedback, nits, or speculative guesses without evidence
- tell the sub-agent to send findings back to the main agent only

Use these four investigation roles.
```
END THIRD-PARTY FILE c6a77a082ceef533

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