dispatching-parallel-agents

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

2|Updated May 30, 2026
One-click install
npx skills add https://github.com/virahitvin8/crafty-gis --skill dispatching-parallel-agents-virahitvin8
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/virahitvin8/crafty-gis/tree/main/GIT_STAR/assignment-generator/antigravity-skills-main/antigravity-skills-main/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/virahitvin8/crafty-gis --skill dispatching-parallel-agents-virahitvin8

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, each with isolated context. ## Core Features & Use Cases - Independence Decision Framework: A decision flowchart and criteria to determine whether failures are independent enough for parallel dispatch or require sequential investigation. - Agent Prompt Structure: Guidelines for writing focused, self-contained agent prompts with specific scope, constraints, and expected output formats. - Integration and Verification Workflow: Steps for reviewing agent summaries, checking for conflicting edits, and running the full test suite after parallel fixes. - Use Case: After a major refactoring leaves 6 test failures across 3 files (abort logic, batch completion, race conditions), dispatch one agent per file to fix each domain concurrently, then integrate the conflict-free results. ## Quick Start Ask the AI to analyze the current test failures, 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 failures by independent problem domain, then dispatch one agent per domain with a focused prompt containing the failing test names, error messages, constraints, and expected output. Review each agent's summary and run the full test suite to verify the fixes integrate without conflicts.

When should I use parallel agents instead of sequential debugging?

Use parallel agents when failures are independent, such as different test files or subsystems with no shared state, and each problem can be understood without context from the others. Avoid parallel dispatch when failures are related, since fixing one may fix others.

What makes a good agent prompt for parallel task dispatch?

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

What are the risks of dispatching parallel agents on shared code?

Agents working on shared state or the same files can interfere with each other and produce conflicting edits. The pattern requires verifying that domains are truly independent before dispatch and checking for conflicts when integrating results.

How do I verify results after parallel agents finish their tasks?

Read each agent's summary to understand what changed, check whether agents edited the same code, run the full test suite to confirm all fixes work together, and spot-check changes since agents can make systematic errors.