dispatching-parallel-agents

Dispatch concurrent agents to investigate independent failures across separate problem domains.

Updated Aug 28, 2026
One-click install
npx skills add https://github.com/epicodic/drift --skill dispatching-parallel-agents-epicodic
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/epicodic/drift/tree/main/.agents/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/epicodic/drift --skill dispatching-parallel-agents-epicodic

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? When multiple unrelated test failures or bugs appear across different files and subsystems, investigating them sequentially wastes time. This Skill provides a structured pattern for splitting independent problems into focused agent tasks that run concurrently, then integrating their results without conflicts. ## Core Features & Use Cases - Independence Assessment: A decision flowchart and criteria to determine whether failures are truly independent or share root causes before dispatching agents. - Focused Agent Prompts: A template for writing self-contained agent instructions with specific scope, constraints, and expected output format. - Parallel Dispatch & Integration: Guidance for launching one agent per problem domain concurrently, then reviewing summaries, checking for conflicts, and running the full test suite. - Use Case: After a major refactoring leaves 6 test failures across 3 files (abort logic, batch completion, race conditions), dispatch three agents in parallel—each fixing one file—then integrate all fixes with zero conflicts. ## Quick Start Ask the AI to analyze your failing tests, group them into independent problem domains, and dispatch one focused agent per domain to fix them in parallel.

Frequently Asked Questions about dispatching-parallel-agents

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I fix multiple failing tests in parallel with AI agents?▼

Group the failures by independent problem domain, then dispatch one focused agent per domain with a self-contained prompt covering scope, constraints, and expected output. After agents return, review summaries, check for conflicting edits, and run the full test suite.

When should I dispatch parallel agents instead of debugging sequentially?▼

Use parallel dispatch when failures are independent—different root causes, different subsystems, no shared state. If fixing one failure might fix others, or understanding requires full system context, investigate sequentially instead.

What makes a good agent prompt for fixing test failures?▼

A good prompt is focused on one problem domain, self-contained with pasted error messages and test names, explicit about constraints like not changing production code, and specific about the expected output such as a summary of root cause and changes.

Can parallel agents conflict with each other when editing code?▼

Yes, if agents share state or edit the same files they can interfere. The pattern avoids this by assigning strictly independent domains, then verifying after completion that no agent edited the same code and that all fixes pass together.

What are the limitations of parallel agent dispatch for debugging?▼

It does not fit related failures with shared root causes, exploratory debugging where the problem is unknown, or tasks needing full system context. In those cases a single agent with broader scope is more effective.