dispatching-parallel-agents

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

1|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/mst-software-vn/mst-checkscam --skill dispatching-parallel-agents-mst-software-vn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/mst-software-vn/mst-checkscam/tree/main/.claude/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/mst-software-vn/mst-checkscam --skill dispatching-parallel-agents-mst-software-vn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Investigating multiple unrelated failures sequentially wastes time and bloats your working context. This Skill provides a structured pattern for delegating independent problems to focused agents that run in parallel with isolated context. ## Core Features & Use Cases - Domain Identification: Group failures by subsystem to confirm they are truly independent before dispatching. - Focused Agent Prompts: Craft self-contained instructions with specific scope, constraints, and expected output for each agent. - Parallel Dispatch & Integration: Run agents concurrently, then review summaries, check for conflicts, and verify with the full test suite. - Use Case: After a refactoring causes 6 test failures across 3 files (abort logic, batch completion, race conditions), dispatch one agent per file so all three investigations complete concurrently instead of sequentially. ## Quick Start Dispatch one agent per failing test file to fix the independent failures in parallel, then review their summaries and run the full test suite.

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, and constraints. Run the agents concurrently and integrate their fixes after reviewing each summary.

What makes a good agent prompt for parallel debugging?▼

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.

When should I not dispatch parallel agents for debugging?▼

Avoid parallel dispatch when failures are related and fixing one might fix others, when understanding requires full system context, during exploratory debugging where the cause is unknown, or when agents would share state such as editing the same files.

How do I verify fixes from multiple parallel agents don't conflict?▼

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 results since agents can make systematic errors.

Why give each agent isolated context instead of session history?▼

Isolated context keeps each agent focused on its narrow scope without distraction from unrelated history, and preserves the coordinator's own context for integration work. You construct exactly the instructions and context each agent needs.