dispatching-parallel-agents

Dispatches independent tasks to concurrent subagents with isolated contexts.

1|Updated Jun 6, 2026
One-click install
npx skills add https://github.com/JaimeHoracio/Ostacky --skill dispatching-parallel-agents-jaimehoracio
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/JaimeHoracio/Ostacky/tree/main/assets/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/JaimeHoracio/Ostacky --skill dispatching-parallel-agents-jaimehoracio

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? When multiple unrelated failures or tasks exist (different test files, subsystems, or bugs), investigating them sequentially wastes time and bloats your main context. This Skill provides a structured pattern for delegating independent problem domains to parallel subagents, each with focused, self-contained instructions. ## 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. - Agent Prompt Structure: A template for writing focused, self-contained agent prompts with specific scope, constraints, and expected output format. - Integration & Verification Workflow: Steps for reviewing agent summaries, checking for conflicts, and running the full test suite after parallel work completes. - Use Case: After a major refactoring leaves 6 test failures across 3 files (abort logic, batch completion, race conditions), dispatch one agent per file to fix them concurrently, then integrate all fixes with zero conflicts. ## Quick Start Ask the agent to analyze the current test failures, group them into independent problem domains, and dispatch one subagent per domain to fix them in parallel.

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 the failures by independent problem domain, then dispatch one subagent per domain with a focused prompt containing the test names, error output, and constraints. Each agent works concurrently with isolated context, and you integrate their fixes afterward.

What makes a good prompt for a delegated subagent task?▼

A good agent prompt is focused on one problem domain, self-contained with all needed context like error messages and file paths, explicit about constraints such as not changing unrelated code, and specific about the expected output like 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 problem is unknown, or when agents would share state like editing the same files.

How do I verify results after parallel agents finish their tasks?▼

Read each agent's summary to understand what changed, check whether agents edited the same code for conflicts, run the full test suite to confirm all fixes work together, and spot-check changes since agents can make systematic errors.

Why do parallel agents need isolated context instead of session history?▼

Isolated context keeps each agent focused on its narrow scope without irrelevant history, prevents interference between agents, and preserves the coordinator's own context for integration work. You construct exactly the context each agent needs.