Skills dispatching-parallel-agents
📦

dispatching-parallel-agents

Safe

Dispatch tasks to parallel agents for concurrent execution

Also available from: obra,davila7,Doyajin174,DYAI2025,Cygnusfear,CodingCossack,Cycleaddict

Stop investigating multiple independent problems sequentially and wasting time. This skill teaches you to dispatch one agent per problem domain so investigations happen concurrently.

Supports: Claude Codex Code(CC)
🥉 73 Bronze
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Test it

Using "dispatching-parallel-agents". 6 test failures across 3 files: agent-tool-abort.test.ts (3 failures), batch-completion-behavior.test.ts (2 failures), tool-approval-race-conditions.test.ts (1 failure)

Expected outcome:

  • Agent 1 (agent-tool-abort.test.ts): Replaced arbitrary timeouts with event-based waiting for tool completion. Fixed 3 tests.
  • Agent 2 (batch-completion-behavior.test.ts): Fixed event structure bug where threadId was in wrong location. Fixed 2 tests.
  • Agent 3 (tool-approval-race-conditions.test.ts): Added wait for async tool execution to complete before assertions. Fixed 1 test.
  • Integration: All 3 fixes are independent with no conflicts. Full test suite passes.

Using "dispatching-parallel-agents". Multiple unrelated bugs: login button styling broken, API response caching not working, email notifications delayed

Expected outcome:

  • Agent 1 (styling): Identified CSS class naming conflict. Fixed button styles without affecting other components.
  • Agent 2 (caching): Cache key generation was missing request parameters. Added proper key composition.
  • Agent 3 (notifications): Message queue consumer had incorrect retry logic. Fixed retry backoff algorithm.
  • All agents worked independently. No shared files modified. Changes integrated successfully.

Security Audit

Safe
v1 • 2/24/2026

This skill is a documentation-only markdown file providing guidance on parallel agent dispatching patterns. Static analyzer flagged 10 patterns as potential risks, but all are FALSE POSITIVES. The external_commands detections are documentation code examples (not executable). The cryptographic and reconnaissance flags reference documentation text with no actual security-relevant operations. No executable code, network access, file system operations, or sensitive data handling present.

1
Files scanned
181
Lines analyzed
1
findings
1
Total audits
Low Risk Issues (1)
SKILL.md:16-147
Static Analysis False Positive - External Commands
Static scanner detected 7 instances of shell command patterns. All are documentation examples in markdown code blocks, not executable code. The skill file is purely instructional content.
Audited by: claude

Quality Score

38
Architecture
100
Maintainability
87
Content
50
Community
100
Security
83
Spec Compliance

What You Can Build

Parallel Test Failure Investigation

Multiple test files are failing with different root causes. Dispatch one agent per test file to investigate and fix each failure independently.

Multi-Subsystem Debugging

Different subsystems are broken independently. Each agent gets assigned one subsystem to diagnose without needing context from other areas.

Concurrent Code Reviews

Multiple pull requests need review. Dispatch agents to review different PRs simultaneously, each providing focused feedback on their assigned changes.

Try These Prompts

Beginner: Basic Parallel Task 
I have 2 independent tasks. Task 1: [describe]. Task 2: [describe]. These tasks do not share any files or state. Please investigate both tasks in parallel and provide separate summaries for each.
Intermediate: Test Failure Dispatch 
Fix the 3 failing tests in src/agents/agent-tool-abort.test.ts. These are timing and race condition issues. Your task: 1) Read the test file and understand what each test verifies, 2) Identify root cause, 3) Fix by replacing timeouts with event-based waiting. Do NOT change production code. Return a summary of what you found and what you fixed.
Advanced: Multi-Agent Coordination 
I am dispatching 3 agents for parallel investigation. Agent 1 investigates auth module failures. Agent 2 investigates API rate limiting issues. Agent 3 investigates database connection pool exhaustion. Each agent: focus only on your domain, do not modify files outside your scope, return a structured summary with root cause and changes made. I will integrate all results after all agents complete.
Expert: Complex Parallel Workflows 
Dispatch parallel agents for this multi-domain failure scenario. Domain A: Frontend component rendering issues in Dashboard.tsx and Metrics.tsx. Domain B: Backend API timeout errors in /api/v2/analytics endpoints. Domain C: Database query performance degradation in reporting queries. Constraints for all agents: do not introduce breaking changes, maintain backward compatibility, add tests for any fixes. Each agent must return: root cause analysis, files modified, test results, and any follow-up actions needed.

Best Practices

  • Always verify tasks are truly independent before dispatching - check for shared files, state, or sequential dependencies
  • Give each agent a focused scope with clear constraints on what NOT to change
  • Request structured summaries from each agent including root cause, changes made, and test results for easier integration

Avoid

  • Too broad scope like 'fix all the tests' - agents get lost without focused direction
  • Missing constraints allowing agents to refactor unrelated code or change production logic unexpectedly
  • Vague output expectations like 'fix it' - you will not know what changed or why

Frequently Asked Questions

How many parallel agents should I dispatch at once?
Start with 2-3 agents for most scenarios. More than 5 agents can become difficult to coordinate and integrate. The optimal number depends on how clearly you can identify independent problem domains.
What if agents modify the same file?
This indicates the tasks were not truly independent. Review agent outputs for conflicts before integrating. If conflicts exist, you may need to re-run one agent with awareness of the other changes, or manually reconcile the differences.
Can I use this with a single AI assistant or do I need multiple instances?
This skill works with a single AI assistant that supports concurrent task execution like Claude Code Task feature. The key is the ability to run multiple investigations simultaneously, not having multiple AI instances.
How do I know if tasks are truly independent?
Ask: Can each task be understood without context from the others? Do they modify different files? Does fixing one affect the others? If yes to all, they are independent. If fixing one might fix others, investigate together first.
What should I do while agents are running in parallel?
Use the waiting time productively: review related code, prepare test environments, or work on unrelated tasks. When agents return, allocate focused time to review all summaries and integrate changes.
Should I always run agents in parallel instead of sequentially?
No. Sequential investigation is better when: failures are related, you need full system context, tasks share state, or you are still exploring to understand what is broken. Parallel dispatch works best when problem domains are clearly identified and independent.

Developer Details

Author

ZhanlinCui

License

MIT

Repository

https://github.com/ZhanlinCui/Ultimate-Agent-Skills-Collection/tree/main/dispatching-parallel-agents

Ref

main

File structure

📄 SKILL.md