dispatching-parallel-agents

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

Updated Apr 17, 2026

Search Tags:#debugging #parallel agents #agent orchestration #test failures #task delegation #concurrent investigation

Ready to run

npx skills add https://github.com/Syedyasir001/RVULibPass --skill dispatching-parallel-agents-syedyasir001

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/Syedyasir001/RVULibPass/tree/main/.agent/skills/library/dispatching-parallel-agents
Command: npx skills add https://github.com/Syedyasir001/RVULibPass --skill dispatching-parallel-agents-syedyasir001

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 and bloats your working context. This Skill provides a structured pattern for splitting independent problems into focused agent tasks that run concurrently. ## Core Features & Use Cases - Independence Assessment: A decision flowchart and criteria to determine whether failures are truly independent and safe to parallelize. - Focused Agent Prompts: A template for writing self-contained agent instructions with specific scope, constraints, and expected output. - Integration Workflow: Steps to review agent summaries, detect conflicts, and verify fixes with a full test suite run. - Use Case: After a refactoring leaves 6 failures across 3 test files (abort logic, batch completion, race conditions), dispatch one agent per file so all three investigations complete concurrently with zero conflicts. ## Quick Start Ask the AI to dispatch one parallel agent per failing test file, each with a focused prompt containing the failure details and a constraint to not touch other code.

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. Each agent works concurrently, and you review and integrate their summaries afterward.

What makes a good prompt for a delegated debugging agent?▼

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

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, or when agents would share state like editing the same files.

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

Read each agent's summary, 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 it preserves the coordinator's own context for integration work. You construct exactly what each agent needs.