dispatching-parallel-agents

Determine parallel dispatch safety for candidate tasks with overlapping scopes.

Updated Apr 27, 2026
One-click install
npx skills add https://github.com/vTRKA/supervibe --skill dispatching-parallel-agents-vtrka
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dispatching-parallel-agents
Source: https://github.com/vTRKA/supervibe/tree/main/skills/dispatching-parallel-agents
Command: npx skills add https://github.com/vTRKA/supervibe --skill dispatching-parallel-agents-vtrka

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Dispatching multiple independent work items in one coding session without losing safety, coordination, or evidence so you can save time while avoiding merge conflicts and unsupported completion claims.

Core Features & Use Cases

  • Parallel dispatch decisioning: Determines whether tasks are truly independent before starting them in parallel, based on read/write overlap and dependency structure.
  • Worker packet and verification enforcement: Requires each subagent to be launched with a self-contained worker packet, bounded write set, explicit verification/stop conditions, and durable evidence when claiming production outcomes.
  • Robust aggregation and failure handling: Collects outcomes for every launched worker (success/blocked/rejected/partial), prevents early completion, and blocks final claims until conflicts and missing evidence are resolved or explicitly accepted.

Quick Start

Use this skill when you have two or more independent task scopes to perform in a project and you want the agent to decide between parallel dispatch and safe sequential execution before starting work, based on write-scope conflicts and required verification evidence.

Frequently Asked Questions about dispatching-parallel-agents

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

FAQPage Schema
How do I safely dispatch parallel coding agents without causing merge conflicts?

Parallel dispatch decisioning determines true task independence by analyzing read/write scope overlaps and dependency structures before starting concurrent work. It ensures safe parallel execution by enforcing per-worker self-contained packets and bounded write sets to prevent merge conflicts.

What is the best way to verify independent coding tasks before running them in parallel?

Evaluating task independence involves analyzing dependency structures and checking for disjoint or overlapping read/write scopes. The process determines whether tasks can safely run concurrently without increasing coordination or merge risk before dispatching parallel agents.

How do I aggregate and verify outcomes from multiple parallel subagents?

Aggregating parallel subagent outcomes requires collecting success, blocked, rejected, or partial statuses for every launched worker. The process blocks final completion claims until all conflicts are resolved, missing verification evidence is provided, or partial outcomes are explicitly accepted by the user.

When should I not use parallel agent dispatch for independent work items?

Avoid parallel agent dispatch when candidate tasks have overlapping write scopes that cannot be bounded, or when required verification evidence and durable receipts cannot be physically bound to a specific worker. Sequential execution is safer if coordination or policy risk increases.

Do I need to provide worker packets when fanning out parallel agents?

Yes, providing self-contained worker packets is required when fanning out parallel agents. Each packet must include bounded write sets, explicit verification or stop conditions, and durable evidence to enforce safety and validate production outcomes.