dispatching-parallel-agents

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

Updated Mar 26, 2026
One-click install
npx skills add https://github.com/erwinv2k-TKG/AgentesVSC --skill dispatching-parallel-agents-erwinv2k-tkg
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/erwinv2k-TKG/AgentesVSC/tree/main/packs/superpowers/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/erwinv2k-TKG/AgentesVSC --skill dispatching-parallel-agents-erwinv2k-tkg

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 to a focused subagent that works concurrently with isolated context. ## Core Features & Use Cases - Independence Decision Framework: A decision flowchart and explicit criteria help you determine whether failures are independent enough for parallel dispatch or related enough to investigate together. - Agent Prompt Structure: Guidance for writing focused, self-contained agent prompts with specific scope, constraints, and expected output so agents stay on task. - 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 refactoring leaves 6 failing tests across 3 files (abort logic, batch completion, race conditions), dispatch one agent per file, let them fix concurrently, then integrate the conflict-free results. ## Quick Start Ask the assistant to dispatch one parallel agent per failing test file, giving each agent the error messages, scope constraints, and a request for a summary of root cause and fixes.

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 subagent per domain with a focused prompt containing the error messages, scope constraints, and expected output. 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, such as different test files with different root causes and no shared state. Avoid parallel dispatch when failures are related, when understanding requires full system context, or when agents would edit the same files.

What makes a good subagent prompt for debugging tasks?

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

Can parallel agents conflict with each other when editing code?

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

Why should subagents not inherit the main session context?

Inheriting full session history bloats each agent's context and distracts from its narrow task. Constructing exactly the context each agent needs keeps it focused on its problem domain and preserves the coordinator's context for integration work.