dispatching-parallel-agents

Delegates independent tasks to concurrent agents with disjoint write scopes.

Updated Mar 18, 2026
One-click install
npx skills add https://github.com/pgoell/pgoell-claude-tools --skill dispatching-parallel-agents-pgoell
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/pgoell/pgoell-claude-tools/tree/main/plugins/deprecated/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/pgoell/pgoell-claude-tools --skill dispatching-parallel-agents-pgoell

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? When facing multiple independent failures, investigations, or edits, working them sequentially wastes time, while careless parallelization causes conflicting edits. This Skill defines when and how to safely fan out work to concurrent agents while the main session coordinates integration and verification. ## Core Features & Use Cases - Independence Criteria: Checklists for deciding when tasks qualify for parallel dispatch (disjoint write scopes, no shared state, no sequential dependencies) and when to avoid it. - Prompt Shape Template: A structured agent prompt format covering problem domain, owned files, forbidden files, and expected report format. - Runtime Mapping: Guidance for Claude Code (multiple Agent calls in one message) and Codex (spawn_agent or sequential fallback). - Use Case: Three unrelated test files fail with different root causes; dispatch three agents, each owning one test file, then review summaries and run the combined test suite after integration. ## Quick Start Ask the agent to split these independent failing tests across parallel workers with disjoint file ownership and then verify the combined result. Note: this Skill is deprecated and superseded by workbench:subagent-driven-development.

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 on coding tasks?

Identify tasks with disjoint write scopes, then dispatch one agent per task with a prompt specifying owned files, forbidden files, and expected report format. In Claude Code, send multiple Agent calls in one message; in Codex, use spawn_agent or run sequentially.

When should I not split work across parallel agents?

Avoid parallel dispatch when failures share one root cause, tasks edit the same files or lockfiles, one task depends on another's output, or you need a single coherent diagnosis first. Do a short local classification pass before dispatching.

How do parallel agents avoid conflicting edits to the same files?

Assign each agent a disjoint write scope and explicitly list files it must not edit. If two tasks might touch the same file, run them sequentially or merge them into one task.

What should a parallel agent prompt include?

Include the exact problem domain, files or directories the agent owns, files it must not edit, relevant failure output or acceptance criteria, and the expected final report format such as root cause, files changed, and verification result.

Is the dispatching-parallel-agents skill still maintained?

No. It is deprecated and superseded by workbench:subagent-driven-development, whose Parallel dispatch section now covers safe fanout to independent agents. This copy is archived for reference only.