/dispatching-parallel-agents

name: dispatching-parallel-agents
description: Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

Dispatching Parallel Agents

Overview

You delegate tasks to specialized agents with isolated context. By precisely crafting their instructions and context, you ensure they stay focused and succeed at their task. They should never inherit your session's context or history — you construct exactly what they need. This also preserves your own context for coordination work.

When you have multiple independent tasks — whether bug investigations, plan tasks, or subsystem changes — executing them sequentially wastes time. Each task is independent and can happen in parallel, provided each agent gets its own isolated workspace.

**Core principle:** Dispatch one agent per independent problem domain. Let them work concurrently.

When to Use

digraph when_to_use {
    "Multiple failures?" [shape=diamond];
    "Are they independent?" [shape=diamond];
    "Single agent investigates all" [shape=box];
    "One agent per problem domain" [shape=box];
    "Can they work in parallel?" [shape=diamond];
    "Sequential agents" [shape=box];
    "Parallel dispatch" [shape=box];

    "Multiple failures?" -> "Are they independent?" [label="yes"];
    "Are they independent?" -> "Single agent investigates all" [label="no - related"];
    "Are they independent?" -> "Can they work in parallel?" [label="yes"];
    "Can they work in parallel?" -> "Parallel dispatch" [label="yes"];
    "Can they work in parallel?" -> "Sequential agents" [label="no - shared state"];
}

**Use when:**

• 3+ test files failing with different root causes
• Multiple subsystems broken independently
• Each problem can be understood without context from others
• No shared state between investigations
• 2+ independent plan tasks with no dependency edges between them
• Multiple independent subsystem changes (different files, different concerns)

**Don't use when:**

• Failures are related (fix one might fix others)
• Need to understand full system state
• Agents would interfere with each other

The Pattern

1. Identify Independent Domains

Group failures by what's broken:

• File A tests: Tool approval flow
• File B tests: Batch completion behavior
• File C tests: Abort functionality

Each domain is independent - fixing tool approval doesn't affect abort tests.

Before you fan out (orchestrator-only)

Worktrees isolate *files*, not *assumptions* — parallel agents on different files can still diverge on an un-prescribed shared decision (MAST FC2). Before dispatching:

1. **Front-load shared decisions** — list every decision ≥2 agents depend on (schemas, naming, interfaces, conventions); decide each once and write it verbatim into *every* agent prompt. 2. **Share full context, not summaries** — give each agent the relevant traces/facts, not a lossy digest.

This is orchestrator discipline applied before dispatch; do not ask subagents to coordinate with each other.

2. Create Focused Agent Tasks

Each agent gets:

• **Specific scope:** One test file or subsystem
• **Clear goal:** Make these tests pass
• **Constraints:** Don't change other code
• **Expected output:** Summary of what you found and fixed

3. Dispatch in Parallel

**Subagent (general-purpose):**

> <task-specific prompt — the subagent sees only this, so it must be self-sufficient>

**Multiple dispatch calls in one response = parallel execution. One per response = sequential.**

4. Review and Integrate

When agents return:

• Read each summary
• Verify fixes don't conflict
• Run full test suite
• Integrate all changes

Agent Prompt Structure

Good agent prompts are: 1. **Focused** - One clear problem domain 2. **Self-contained** - All context needed to understand the problem 3. **Specific about output** - What should the agent return?

Fix the 3 failing tests in src/agents/agent-tool-abort.test.ts:

1. "should abort tool with partial output capture" - expects 'interrupted at' in message
2. "should handle mixed completed and aborted tools" - fast tool aborted instead of completed
3. "should properly track pendingToolCount" - expects 3 results but gets 0

These are timing/race condition issues. Your task:

1. Read the test file and understand what each test verifies
2. Identify root cause - timing issues or actual bugs?
3. Fix by:
   - Replacing arbitrary timeouts with event-based waiting
   - Fixing bugs in abort implementation if found
   - Adjusting test expectations if testing changed behavior

Do NOT just increase timeouts - find the real issue.

Return: Summary of what you found and what you fixed.

Common Mistakes

**❌ Too broad:** "Fix all the tests" - agent gets lost **✅ Specific:** "Fix agent-tool-abort.test.ts" - focused scope

**❌ No context:** "Fix the race condition" - agent doesn't know where **✅ Context:** Paste the error messages and test names

**❌ No constraints:** Agent might refactor everything **✅ Constraints:** "Do NOT change production code" or "Fix tests only"

**❌ Vague output:** "Fix it" - you don't know what changed **✅ Specific:** "Return summary of root cause and changes"

When NOT to Use

**Related failures:** Fixing one might fix others - investigate together first **Need full context:** Understanding requires seeing entire system **Exploratory debugging:** You don't know what's broken yet **Shared state:** Agents would interfere (editing same files, using same resources) **Single task:** Only one task remaining — no parallelism benefit **Same files:** Tasks that modify the same files — merge conflicts likely even with worktree isolation

Integration

**Invoked by:**

• **subagent-driven-development** — parallel batch mode dispatches independent plan tasks concurrently, each in its own worktree. Uses this skill's dispatch pattern. See SDD Integration below.
• **getting-up-to-speed** — heavy path (150+ tracked files) dispatches two read-