dispatching-parallel-agents

Dispatches focused agents in parallel to investigate independent failures across separate problem domains.

Updated Mar 31, 2026
One-click install
npx skills add https://github.com/SESELOVSKYDarian/Vase --skill dispatching-parallel-agents-seselovskydarian
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/SESELOVSKYDarian/Vase/tree/main/.agents/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/SESELOVSKYDarian/Vase --skill dispatching-parallel-agents-seselovskydarian

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 delegating each independent problem domain to a focused agent that works concurrently with isolated context. ## Core Features & Use Cases - Independence Assessment: A decision flowchart and criteria to determine whether failures are truly independent and safe to parallelize, or related and better handled sequentially. - Agent Prompt Structure: A template for writing focused, self-contained agent prompts with specific scope, constraints, and expected output format. - Review and Integration Workflow: Steps for verifying agent summaries, detecting conflicts between concurrent changes, and running the full test suite after integration. - Use Case: After a major refactoring leaves 6 test failures across 3 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, giving each agent the specific test names, error messages, and a constraint to fix only its assigned file.

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 test names, error messages, and constraints. Each agent works concurrently with isolated context, and you integrate their fixes afterward.

When should I use parallel agents instead of sequential debugging?

Use parallel agents when failures are independent, meaning fixing one does not affect the others and no shared state exists between investigations. If failures are related or require full system context, investigate them together sequentially.

What makes a good agent prompt for parallel 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 other code, and specific about the expected output such as a summary of root cause and fixes.

Can parallel agents conflict with each other when editing code?

Yes, conflicts occur when agents share state or edit the same files. Prevent this by assigning strictly separate scopes per agent, and after they return, review each summary, check for overlapping edits, and run the full test suite to verify integration.

What are the limitations of dispatching parallel agents?

Parallel dispatch does not fit related failures where one fix resolves others, exploratory debugging where the problem is unknown, or tasks requiring full system context. Agents can also make systematic errors, so spot-check their changes.