skill-dispatching-parallel-agents

Dispatches concurrent subagents for independent investigations and disjoint implementation lanes.

Updated Apr 9, 2026
One-click install
npx skills add https://github.com/longdang193/project-OS-starter --skill skill-dispatching-parallel-agents-longdang193
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-dispatching-parallel-agents
Source: https://github.com/longdang193/project-OS-starter/tree/main/generated_agents/claude/skills/skill-dispatching-parallel-agents
Command: npx skills add https://github.com/longdang193/project-OS-starter --skill skill-dispatching-parallel-agents-longdang193

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Investigating multiple unrelated failures or running approved implementation lanes sequentially wastes time, and unstructured parallel work risks conflicting edits and shared-state interference. This Skill defines how to prove independence, assign exact write ownership, and fan out focused self-contained agent tasks safely. ## Core Features & Use Cases - Read-only fan-out: Run independent investigations, audits, and research questions concurrently with immutable inputs and a required evidence format. - Parallel writers: Coordinate concurrent implementation lanes using approved plans, isolated Git worktrees, disjoint write ownership, and declared lane proof. - Structured agent prompts: Create focused, self-contained subagent tasks with specific scope, constraints, and expected output summaries. - Use Case: After a refactoring leaves 6 test failures across 3 files with different root causes, dispatch one agent per test file in parallel, review each lane's diff, and integrate all fixes with zero conflicts. ## Quick Start Dispatch one subagent per independent failing test file to investigate and fix them concurrently, then review and integrate each lane's results.

Frequently Asked Questions about skill-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?▼

Group failures by independent problem domain, then dispatch one focused subagent per test file or subsystem in the same round. Each agent gets specific scope, constraints, and a required output summary, and you review and integrate each lane's results afterward.

When should I dispatch parallel agents instead of sequential ones?▼

Use parallel dispatch when failures are independent, such as three or more test files failing with different root causes, and no shared state exists between investigations. Avoid it when failures are related, when full system context is needed, or when agents would edit the same files.

Can parallel agents write code in the same workspace?▼

No, same-workspace concurrent writers remain prohibited. Parallel implementation lanes require an approved plan, isolated Git worktrees, disjoint write ownership, and declared lane proof; a read-only task may overlap one writer only with immutable inputs.

What makes a good subagent prompt for parallel dispatch?▼

Good prompts are focused on one problem domain, self-contained with all needed context such as error messages and test names, and specific about constraints and expected output. Avoid broad instructions like "fix all the tests" or vague outputs like "fix it".

What are the limitations of parallel agent dispatch?▼

It does not fit related failures where fixing one might fix others, exploratory debugging, or work requiring full system state. If the platform lacks concurrent agent support, lanes must run sequentially rather than simulating parallelism with overlapping edits.