deepwork-dispatching-parallel-agents

Dispatch independent tasks to parallel worker agents and integrate their results.

Updated Jun 18, 2026
One-click install
npx skills add https://github.com/hugefiver/ocmm --skill deepwork-dispatching-parallel-agents-hugefiver
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deepwork-dispatching-parallel-agents
Source: https://github.com/hugefiver/ocmm/tree/main/plugins/deepwork/skills/deepwork-dispatching-parallel-agents
Command: npx skills add https://github.com/hugefiver/ocmm --skill deepwork-dispatching-parallel-agents-hugefiver

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Coordinating multiple independent coding or analysis tasks sequentially wastes time, while naive parallelization causes file conflicts, duplicated work, and unverified results. This Skill defines when parallel dispatch is safe and how to brief, dispatch, and integrate concurrent worker agents. ## Core Features & Use Cases - Independence Check: Verifies tasks have non-overlapping file ownership, no shared mutable state, and no sequential dependencies before parallelizing. - Worker Briefs and Dispatch: Structures goal, acceptance criteria, evidence, and constraints for each worker, then dispatches through the host's callable parallel-dispatch mechanism. - Reconciliation and Integration: Inspects each worker's actual diff, evaluates evidence, checks cross-result interfaces, and verifies the combined result against the overall goal. - Use Case: When fixing three unrelated bugs in separate modules, dispatch three workers concurrently with scoped briefs, then integrate their changes after verifying each result's evidence. ## Quick Start Split these independent tasks into parallel worker agents with clear goals and evidence requirements, then integrate their verified results.

Frequently Asked Questions about deepwork-dispatching-parallel-agents

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

FAQPage Schema
How do I run multiple coding tasks in parallel with AI agents?▼

Verify each task has independent goals, exclusive file ownership, and no shared state, then give each worker a brief with its goal, acceptance criteria, and constraints. Dispatch through the host's callable parallel-dispatch mechanism and integrate results by inspecting actual diffs and evidence.

When should I not parallelize tasks across agents?▼

Avoid parallelization when tasks share files, interfaces, fixtures, or external services, when failures share an unknown root cause, or when work depends on global ordering. Coupled architecture decisions and exploratory debugging should be sequenced or investigated together.

What should a parallel worker task brief include?▼

Include the goal and ideal end state, acceptance criteria with useful evidence, current context and dependencies, exclusive file or resource boundaries, global constraints, and material risks. Do not paste session history or require a fixed response format.

Can parallel worker agents commit or push Git changes?▼

No, workers do not perform Git writes unless the user explicitly authorizes the exact operation. A request to implement or fix does not authorize a commit, and a commit authorization does not extend to push, tag, rebase, or release.

What happens if a parallel worker times out or returns no evidence?▼

An optional or redundant child that times out or returns only an acknowledgement does not block a result already proven by sufficient evidence. Required tasks and real security, data-loss, or compatibility risks remain blockers until resolved or explicitly decided.