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dispatching-parallel-agents

Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

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SKILL.md
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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 When you have multiple unrelated failures (different test files, different subsystems, different bugs), investigating them sequentially wastes time. Each investigation is independent and can happen in parallel. **Core principle:** Dispatch one agent per independent problem domain. Let them work concurrently. ## When to Use - Multiple failures? → Yes - Are they independent? → Yes (not related) - Can they work in parallel? → Yes (no shared state) → Use parallel dispatch **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 **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: Component X logic - File B tests: Component Y behavior - File C tests: Component Z functionality Each domain is independent - fixing X doesn't affect Z tests. ### 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 Using `runSubagent` tool: ``` runSubagent( prompt: "Fix the failing tests in src/components/ComponentA.test.ts...", description: "Fix ComponentA tests" ) runSubagent( prompt: "Fix the failing tests in src/hooks/useHookB.test.ts...", description: "Fix useHookB tests" ) runSubagent( prompt: "Fix the failing tests in src/services/ServiceC.test.ts...", description: "Fix ServiceC tests" ) // All three run concurrently ``` ### 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? ```markdown Fix the 3 failing tests in src/components/ImageUploader.test.tsx: 1. "should handle file upload correctly" - expects onUpload to be called 2. "should validate file type" - jpeg not accepted 3. "should show error for large files" - no error displayed These are likely state management or event handling issues. Your task: 1. Read the test file and understand what each test verifies 2. Identify root cause - component bug or test setup issue? 3. Fix by: - Fixing component bugs if found - Adjusting test expectations if testing changed behavior - Use systematic-debugging skill Do NOT just add 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 ImageUploader.test.tsx" - 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) ## Key Benefits 1. **Parallelization** - Multiple investigations happen simultaneously 2. **Focus** - Each agent has narrow scope, less context to track 3. **Independence** - Agents don't interfere with each other 4. **Speed** - 3 problems solved in time of 1 ## Verification After agents return: 1. **Review each summary** - Understand what changed 2. **Check for conflicts** - Did agents edit same code? 3. **Run full suite** - Verify all fixes work together 4. **Spot check** - Agents can make systematic errors
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