dispatching-parallel-agents

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

1|Updated Dec 11, 2025
One-click install
npx skills add https://github.com/HarmAalbers/claude-requirements-framework --skill dispatching-parallel-agents-harmaalbers
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/HarmAalbers/claude-requirements-framework/tree/main/plugins/requirements-framework/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/HarmAalbers/claude-requirements-framework --skill dispatching-parallel-agents-harmaalbers

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Investigating multiple unrelated failures sequentially wastes time when each problem is independent. This Skill provides a pattern for dispatching one agent per independent problem domain so investigations run concurrently without interference. ## 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. - Focused Agent Prompt Structure: Guidance for writing self-contained agent prompts with specific scope, constraints, and expected output format. - Integration and Verification Workflow: Steps to review agent summaries, detect conflicting edits, and run the full test suite after parallel work completes. - Use Case: Three test files fail with different root causes (authentication, validation, API endpoints). Dispatch three agents concurrently, each fixing one file, then integrate and verify all fixes together. ## Quick Start Ask the AI to dispatch one parallel agent per failing test file, each with a focused prompt covering scope, constraints, and expected output.

Frequently Asked Questions about dispatching-parallel-agents

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run multiple AI agents in parallel to fix failing tests?▼

Dispatch one agent per independent problem domain using the Task tool, giving each a focused prompt with specific scope, constraints, and expected output. All agents run concurrently, then you review summaries and run the full test suite to verify integration.

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 different root causes and no shared state. Avoid parallel dispatch when failures are related, require full system context, or agents would edit the same files.

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

A good agent prompt is focused on one problem domain, self-contained with all needed context like error messages and test names, and specific about constraints and output. Include what not to change and request a summary of root cause and fixes.

Can parallel agents conflict with each other when editing code?▼

Yes, agents can conflict if they edit the same files or share state. Prevent this by assigning disjoint scopes per agent, and after completion check for overlapping edits, review each summary, and run the full test suite to catch integration issues.

What are the limitations of dispatching parallel agents for debugging?▼

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