dispatching-parallel-agents — for Claude Code dispatching-parallel-agents, CodebrewRouter, community, for Claude Code, ide skills, Codex-devfleet, warnaserror, team-builder, quality-gate, Dispatching

v1.0.0

À propos de ce Skill

Scenario recommande : Ideal for AI agents that need dispatching parallel agents — automate task assignment. Resume localise : RouterLLM # Dispatching Parallel Agents — automate task assignment Manages the mechanics of launching multiple agents in parallel without manual file-conflict checking. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Fonctionnalités

Dispatching Parallel Agents — automate task assignment
Manages the mechanics of launching multiple agents in parallel without manual file-conflict
The plan lists multiple implementation steps with non-overlapping file sets .
The Conductor or Orchestrator wants to parallelize those steps.
You need to validate that parallel execution won't cause merge conflicts.

# Core Topics

imabusyman imabusyman
[0]
[0]
Updated: 4/24/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 10/11

This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
10/11
Quality Score
61
Canonical Locale
en
Detected Body Locale
en

Scenario recommande : Ideal for AI agents that need dispatching parallel agents — automate task assignment. Resume localise : RouterLLM # Dispatching Parallel Agents — automate task assignment Manages the mechanics of launching multiple agents in parallel without manual file-conflict checking. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Pourquoi utiliser cette compétence

Recommandation : dispatching-parallel-agents helps agents dispatching parallel agents — automate task assignment. RouterLLM # Dispatching Parallel Agents — automate task assignment Manages the mechanics of

Meilleur pour

Scenario recommande : Ideal for AI agents that need dispatching parallel agents — automate task assignment.

Cas d'utilisation exploitables for dispatching-parallel-agents

Cas d'usage : Applying Dispatching Parallel Agents — automate task assignment
Cas d'usage : Applying Manages the mechanics of launching multiple agents in parallel without manual file-conflict
Cas d'usage : Applying The plan lists multiple implementation steps with non-overlapping file sets

! Sécurité et Limitations

  • Limitation : You need to validate that parallel execution won't cause merge conflicts.
  • Limitation : Check for conflicts: Do any two steps touch the same file? If yes, they must be sequential.
  • Limitation : Both execute in parallel. When done, Phase 2 starts (Infra depends on both).

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is dispatching-parallel-agents?

Scenario recommande : Ideal for AI agents that need dispatching parallel agents — automate task assignment. Resume localise : RouterLLM # Dispatching Parallel Agents — automate task assignment Manages the mechanics of launching multiple agents in parallel without manual file-conflict checking. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

How do I install dispatching-parallel-agents?

Run the command: npx killer-skills add imabusyman/CodebrewRouter/dispatching-parallel-agents. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for dispatching-parallel-agents?

Key use cases include: Cas d'usage : Applying Dispatching Parallel Agents — automate task assignment, Cas d'usage : Applying Manages the mechanics of launching multiple agents in parallel without manual file-conflict, Cas d'usage : Applying The plan lists multiple implementation steps with non-overlapping file sets.

Which IDEs are compatible with dispatching-parallel-agents?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for dispatching-parallel-agents?

Limitation : You need to validate that parallel execution won't cause merge conflicts.. Limitation : Check for conflicts: Do any two steps touch the same file? If yes, they must be sequential.. Limitation : Both execute in parallel. When done, Phase 2 starts (Infra depends on both)..

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add imabusyman/CodebrewRouter/dispatching-parallel-agents. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use dispatching-parallel-agents immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

dispatching-parallel-agents

Install dispatching-parallel-agents, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before...

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Dispatching Parallel Agents — automate task assignment

Manages the mechanics of launching multiple agents in parallel without manual file-conflict checking.

When to use

  • The plan lists multiple implementation steps with non-overlapping file sets.
  • The Conductor or Orchestrator wants to parallelize those steps.
  • You need to validate that parallel execution won't cause merge conflicts.

Workflow

Input

A plan with steps like:

## Step 1: Add GeminiProvider class
Files: Blaze.LlmGateway.Infrastructure/Providers/GeminiProvider.cs (create)

## Step 2: Add GeminiProvider tests
Files: Blaze.LlmGateway.Tests/Providers/GeminiProviderTests.cs (create)

## Step 3: Wire GeminiProvider in AppHost
Files: Blaze.LlmGateway.AppHost/Program.cs (edit)

Analysis

  1. Extract file sets from each step.
  2. Check for conflicts: Do any two steps touch the same file? If yes, they must be sequential.
  3. Topologically sort: Group non-conflicting steps into "phases."
  4. Assign to agents: Phase 1 step 1 → Coder (git worktree A), Phase 1 step 2 → Tester (worktree B), etc.

Output

For Phase 1 (parallel):

yaml
1# Handoff 1: Conductor → Coder (worktree A) 2files you may edit: 3 - Blaze.LlmGateway.Infrastructure/Providers/GeminiProvider.cs (create) 4files other parallel tasks own: 5 - Blaze.LlmGateway.Tests/Providers/GeminiProviderTests.cs (Tester) 6 - Blaze.LlmGateway.AppHost/Program.cs (Infra, Phase 2)
yaml
1# Handoff 2: Conductor → Tester (worktree B) 2files you may edit: 3 - Blaze.LlmGateway.Tests/Providers/GeminiProviderTests.cs (create) 4files other parallel tasks own: 5 - Blaze.LlmGateway.Infrastructure/Providers/GeminiProvider.cs (Coder) 6 - Blaze.LlmGateway.AppHost/Program.cs (Infra, Phase 2)

Both execute in parallel. When done, Phase 2 starts (Infra depends on both).

Key invariants

  • No file overlap within a phase (verified automatically).
  • Dependencies explicit (serial phase → parallel phases → serial phase, etc.).
  • Each agent owns an exclusive worktree (via Codex-devfleet).
  • Quality gate applies to every parallel merge (all must pass -warnaserror + 95% coverage).

See also

  • team-builder — decompose tasks into parallel streams (manual).
  • Codex-devfleet — Git worktree isolation (execution).
  • quality-gate — validate parallel merges before advancing phases.

Compétences associées

Looking for an alternative to dispatching-parallel-agents or another community skill for your workflow? Explore these related open-source skills.

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