---
name: parallel-exploration
description: Use when you need parallel, read-only exploration with the agent tool (Scout fan-out)
---

# Parallel Exploration (Scout Fan-Out)

## Overview

When you need to answer "where/how does X work?" across multiple domains (codebase, tests, docs, OSS), investigating sequentially wastes time. Each investigation is independent and can happen in parallel.

**Core principle:** Decompose into independent sub-questions, invoke one scout agent per sub-question, and synthesize the results together.

**Safe in Planning mode:** This is read-only exploration. It is OK to use during exploratory research even when there is no feature, no plan, and no approved tasks.

**This skill is for read-only research.** For parallel implementation work, refer to the skill at .github/skills/dispatching-parallel-agents/SKILL.md and use `hive_worktree_start`.

## When to Use

**Default to this skill when:**
**Use when:**
- Investigation spans multiple domains (code + tests + docs)
- User asks **2+ questions across different domains** (e.g., code + tests, code + docs/OSS, code + config/runtime)
- Questions are independent (answer to A doesn't affect B)
- User asks **3+ independent questions** (often as a numbered list or separate bullets)
- No edits needed (read-only exploration)
- User asks for an exploration that likely spans multiple files/packages
- The work is read-only and the questions can be investigated independently

**Only skip this skill when:**
- Investigation requires shared state or context between questions
- It's a single focused question that is genuinely answerable with **one quick grep + one file read**
- Questions are dependent (answer A materially changes what to ask for B)
- Work involves file edits (use Hive tasks / Forager instead)

**Important:** Do not treat "this is exploratory" as a reason to avoid delegation. This skill is specifically for exploratory research when fan-out makes it faster and cleaner.

## The Pattern

### 1. Decompose Into Independent Questions

Split your investigation into 2-4 independent sub-questions. Good decomposition:

| Domain | Question Example |
|--------|------------------|
| Codebase | "Where is X implemented? What files define it?" |
| Tests | "How is X tested? What test patterns exist?" |
| Docs/OSS | "How do other projects implement X? What's the recommended pattern?" |
| Config | "How is X configured? What environment variables affect it?" |

**Bad decomposition (dependent questions):**
- "What is X?" then "How is X used?" (second depends on first)
- "Find the bug" then "Fix the bug" (not read-only)

### 2. Invoke Scout Agents in Parallel

Start all independent scout requests before waiting on any result.

```text
Invoke the @scout agent via the agent tool for question 1.
Invoke the @scout agent via the agent tool for question 2.
Invoke the @scout agent via the agent tool for question 3.
```

**Key points:**
- Invoke the @scout agent via the agent tool for read-only exploration
- Give each invocation a clear, focused scope
- Make prompts specific about what evidence to return

### 3. Continue Working (Optional)

While tasks run, you can:
- Work on other aspects of the problem
- Prepare synthesis structure
- Start drafting based on what you already know

Each scout result returns to the parent chat when it completes.

### 4. Collect Results

When each task completes, its result is returned directly. Collect the outputs from each task and proceed to synthesis.

### 5. Synthesize Findings

Combine results from all tasks:
- Cross-reference findings (file X mentioned by tasks A and B)
- Identify gaps (task C found nothing, need different approach)
- Build coherent answer from parallel evidence

### 6. Cleanup (If Needed)

No manual cancellation is required for these agent invocations.

## Prompt Templates

### Codebase Slice

```
Investigate [TOPIC] in the codebase:
- Where is [X] defined/implemented?
- What files contain [X]?
- How does [X] interact with [Y]?

Return:
- File paths with line numbers
- Brief code snippets as evidence
- Key patterns observed
```

### Tests Slice

```
Investigate how [TOPIC] is tested:
- What test files cover [X]?
- What testing patterns are used?
- What edge cases are tested?

Return:
- Test file paths
- Example test patterns
- Coverage gaps if obvious
```

### Docs/OSS Slice

```
Research [TOPIC] in external sources:
- How do other projects implement [X]?
- What does the official documentation say?
- What are common patterns/anti-patterns?

Return:
- Links to relevant docs/repos
- Key recommendations
- Patterns that apply to our codebase
```

## Real Example

**Investigation:** "How does the API routing system work?"

**Decomposition:**
1. Implementation: Where are API routes defined?
2. Routing: How does route registration work?
3. Notifications: How are errors surfaced to the caller?

**Fan-out:**
```text
Invoke the @scout agent via the agent tool to find API route implementation.
Invoke the @scout agent via the agent tool to analyze concurrency.
Invoke the @scout agent via the agent tool to find the notification mechanism.
```

**Results:**
- Task 1: Found `background-tools.ts` (tool definition), `index.ts` (registration)
- Task 2: Found `manager.ts` with concurrency=3 default, queue-based scheduling
- Task 3: Found `session.prompt()` call in manager for parent notification

**Synthesis:** Complete picture of background task lifecycle in ~1/3 the time of sequential investigation.

## Common Mistakes

**Spawning sequentially (defeats the purpose):**
```text
Bad: invoke one scout agent, wait, then decide whether to invoke the next.
```

```text
Good: issue all independent scout invocations in the same response.
```

**Too many tasks (diminishing returns):**
- 2-4 tasks: Good parallelization
- 5+ tasks: Overhead exceeds benefit, harder to synthesize

**Dependent questions:**
- Don't spawn task B if it needs task A's answer
- Either make them independent or run sequentially

**Using for edits:**
- Scout is read-only; use Forager for implementation
- This skill is for exploration, not execution

## Key Benefits

1. **Speed** - 3 investigations in time of 1
2. **Focus** - Each Scout has narrow scope
3. **Independence** - No interference between tasks
4. **Flexibility** - Cancel unneeded tasks, add new ones

## Verification

After using this pattern, verify:
- [ ] All tasks spawned before collecting any results (true fan-out)
- [ ] Verified agent-tool fan-out pattern used for parallel exploration
- [ ] Synthesized findings into coherent answer
