# Swarm Fan Out

> Fan-out parallel specialists for concurrent analysis. Dispatch read-only reviewers, researchers, and analyzers against a target.

- Skill: `majiayu000/swarm-fan-out` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add majiayu000/swarm-fan-out`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/swarm-fan-out/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/swarm-fan-out

---


# Fan-Out Orchestration

## Overview

> This skill is invoked by the `swarm` dispatcher. You should
> already have the goal, target, and selected roles from the
> dispatcher. If invoked directly, start from step 1.

Orchestrate parallel specialist agents for concurrent analysis of code,
PRs, or topics. You become the team lead, spawn read-only specialists,
collect their findings, and synthesize a unified report.

**Core principle:** Fan-out N specialists, collect findings, synthesize,
present. No file edits, no implementation — analysis only.

## When to Use

- User asks for review from multiple angles
- User wants parallel independent analysis
- User explicitly asks for "swarm" or "team review"
- Task benefits from diverse concurrent specialist perspectives

## When NOT to Use

- Single-perspective tasks (use a regular agent instead)
- Sequential dependencies between workers
- Simple questions or explorations
- Tasks requiring file edits without `isolation: worktree` configured on the
  role
- A team already exists in the current session

## Checklist

You MUST complete these steps in order:

1. **Identify goal and target**
2. **Select roles**
3. **Check for existing team**
4. **Confirm with user**
5. **Create team and tasks**
6. **Spawn specialists**
7. **Collect findings**
8. **Synthesize and present report**
9. **Await user instructions**
10. **Shutdown and cleanup** (when user says done)

## Step 1: Identify Goal and Target

Determine from the user's request:

- **Goal**: What is being reviewed/analyzed? (e.g., "security review",
  "PR review", "codebase audit")
- **Target**: Which files, PR, or scope? (e.g., "src/auth/", "PR #42",
  "the entire API layer")

If unclear, ask the user. Do not guess scope.

## Step 2: Select Roles

Roles come from `$CLAUDE_PLUGIN_ROOT/config/swarm-roles.yaml`.

Read the config file to get available roles and presets.

**Selection priority:**

1. User specifies a preset name → use that preset's roles
2. User specifies individual role names → use those
3. User describes what they want → match to appropriate roles
4. Default for "review" requests → use `pr-review` preset

If the user requests roles not in the config, tell them what's available
and ask for clarification. Do not invent roles on the fly.

### Validation

The dispatcher has already validated config shape (role existence,
required fields, `subagent_type` values). The checks below cover
fan-out-specific semantics.

- **Non-empty roles**: the `roles` list must contain at least 1 entry.
  If empty or missing, report the error and abort.
- **No duplicates**: warn the user if the same role appears more than
  once in the list.
- **Single-role warning**: if the `roles` list contains exactly 1 role,
  warn the user that fan-out orchestration adds overhead with no
  parallelism benefit. Offer to run a single agent directly instead.

## Step 3: Check for Existing Team

Only one team can exist per session. Before creating a new team,
check if one already exists.

If a team exists:

- **Active swarm**: warn the user that a swarm is already running
  and offer to shut it down first (`TeamDelete`).
- **Orphaned team** (from a crashed session or `/resume`): agents
  from the previous session are gone but the team and task list
  persist. Offer the user two options:
  1. **Delete and restart**: `TeamDelete` the orphaned team, then
     proceed with a fresh swarm.
  2. **Salvage completed work**: check `TaskList` for completed
     tasks, synthesize any available findings from completed tasks,
     then `TeamDelete` and optionally re-run incomplete tasks.

## Step 4: Confirm with User

Present the dispatch plan using `AskUserQuestion`:

```text
I'll dispatch a swarm with these specialists:
- security-reviewer: Review for vulnerabilities
- performance-reviewer: Analyze performance issues
- quality-reviewer: Code quality and maintainability

Target: [files/PR/scope]

Proceed?
```

Do NOT spawn anything until the user confirms. No surprise token costs.

## Step 5: Create Team and Tasks

### Team Naming

Use format: `swarm-fan-out-{goal-slug}-{timestamp}`

Example: `swarm-fan-out-pr-review-1708200000`

Generate the timestamp from the current date/time as a Unix epoch.

### Create Team

```text
TeamCreate with team_name: "swarm-fan-out-{goal-slug}-{timestamp}"
```

### Create Tasks

One task per role via `TaskCreate`:

- `subject`: imperative title (e.g., "Review authentication module for
  security vulnerabilities")
- `description`: detailed scope, target files, reporting expectations
- `activeForm`: present-continuous spinner label (e.g., "Reviewing
  authentication security")

All tasks are independent — no `blocks`/`blockedBy` dependencies in v1.

## Step 6: Spawn Specialists

For each role, spawn one teammate via `Agent` with:

- `team_name`: the team name from step 5
- `name`: the role name (e.g., `security-reviewer`)
- `subagent_type`: from the role config (typically `Explore`)
- `model`: from the role config (if specified)
- `isolation`: from the role config (if specified)
- `run_in_background`: `true`
- `prompt`: composed from three parts (see below)

### Isolation Handling

Before spawning, check each role's `isolation` field:

- If `isolation: worktree` is set:
  - Override `subagent_type` to `general-purpose` (even if the role says
    `Explore` or omits the field)
  - Print a note: `Role {name}: using general-purpose (worktree isolation
    requires write access)`
  - Pass `isolation: "worktree"` to the `Agent` tool call
- If `isolation` is absent: use the role's `subagent_type` as-is (default:
  `Explore`), do not pass `isolation` to Agent

### Prompt Construction

Each teammate's prompt is composed from:

#### Part 1: Identity and Instructions

```markdown
Your name is {name}. You are part of team {team_name}.

Instructions:
- Claim your task from TaskList, mark it in_progress, then completed
  when done.
- Send your findings to the team lead via SendMessage when complete.
- Include a summary field in your message (5-10 words).
```

#### Part 2: Role Prompt

The `prompt` field from `swarm-roles.yaml` for this role.

#### Part 3: Goal and Target Context

```markdown
## Goal

{goal description from user}

## Target

{target files, PR, scope, or other context}

{any additional context the user provided}
```

All task-specific context MUST be in the spawn prompt — teammates do not
have access to the lead's conversation history.

## Step 7: Collect Findings

Teammates send findings via `SendMessage`. Messages are delivered
automatically — you do not need to poll.

**Normal flow:** Wait for all specialists to report. Teammates go idle
after sending — this is expected behavior.

**Error handling:**

- Idle teammate without findings: send a message asking for status
- No response after nudge: note in report, mark task as blocked
- TeamCreate failure: report error to user, do not proceed

## Step 8: Synthesize and Present Report

Once all specialists have reported (or you've noted non-reporters):

Synthesize findings into a unified report organized by severity or
theme, not by specialist. Cross-reference overlapping findings.

### Report Structure

```markdown
## Swarm Analysis Report

**Goal:** {goal}
**Target:** {target}
**Specialists:** {list of roles that reported}

### Critical Issues
{findings rated critical/high, with file:line references}

### Important Issues
{findings rated medium/important}

### Suggestions
{lower-priority findings and recommendations}

### Summary
{brief overall assessment — 2-3 sentences}
```

If specialists disagree, note the disagreement rather than silently
picking one perspective.

## Step 9: Await User Instructions

After presenting the report:

- Do NOT fix issues specialists found
- Do NOT shut down the team automatically
- Do NOT proceed past reporting without user input

Wait for the user to decide next steps. They may:

- Ask for more detail on specific findings
- Ask you to fix issues (you would exit delegate mode for this)
- Say they're done (proceed to step 10)

## Step 10: Shutdown and Cleanup

When the user indicates they're done:

1. Send `shutdown_request` to each teammate via `SendMessage`
   (include the monitor agent if `watchdog: true` was active)
2. Wait for `shutdown_response` from each. If an agent does not
   respond after a reasonable wait, send one nudge message. If
   still unresponsive, proceed — the agent may have crashed or
   terminated.
3. Call `TeamDelete` to clean up. `TeamDelete` is the authoritative
   cleanup mechanism — it will fail if active agents remain. If
   it fails, retry after unresponsive agents have timed out.

## Design Constraints

- **Read-only specialists**: v1 uses `subagent_type: Explore` — no file
  edits, no Bash, no Write. This is enforced at the agent-type level.
- **One team per session**: check before creating.
- **No nested teams**: teammates cannot spawn their own teams.
- **Lead synthesizes**: present a unified report, not raw specialist
  output.
- **User controls lifecycle**: never auto-shutdown.