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Dispatching Parallel Agents

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thiientv
dispatching-parallel-agents

Splits a coding task into independent parallel agent workstreams with disjoint write sets, explicit inputs and outputs, dependency ordering, and a merge/review plan. Use when several subtasks can proceed without shared mutable state. Not for tightly coupled edits, one failing root cause, or parallel changes to the same files.

Overview

Publisherthiientv
Repositorygodmode
Skill namedispatching-parallel-agents
Stars
99
Forks
76
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by thiientv on GitHub. Read the source before you install it.

Installation

Install the Dispatching Parallel Agents AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/thiientv/godmode/tree/main/skills/dispatching-parallel-agents
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/thiientv/godmode.git /tmp/godmode
mkdir -p .claude/skills
cp -r /tmp/godmode/skills/dispatching-parallel-agents .claude/skills/dispatching-parallel-agents
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dispatching Parallel Agents in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dispatching Parallel Agents on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dispatching Parallel Agents is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Dispatching Parallel Agents

Parallelism reduces elapsed time only when it does not multiply integration ambiguity.

Dispatch checklist

  1. Define the shared outcome and acceptance evidence.
  2. Map dependencies and identify the critical path.
  3. Split by coherent responsibility, not arbitrary file count.
  4. Give every agent a disjoint write set and a narrow prompt.
  5. State repository rules, interfaces, expected artifacts, and stop conditions.
  6. Decide who integrates, resolves conflicts, and runs the final proof.

Good units are an independent reference/eval update, a script with its tests, or separate adapters with a stable manifest contract. Bad units are two agents editing the same public skill, guessing an interface that another agent owns, or investigating one symptom with competing hypotheses.

Handoff contract

Each agent returns:

  • files changed;
  • decisions and assumptions;
  • commands run and exact result;
  • known gaps or conflicts;
  • follow-up needed by the integrator.

Treat agent output as untrusted work product. Read the diff and rerun the relevant checks before merging. Do not claim the aggregate task is complete because every agent reported success.

Completion condition

Parallel work is integrated only after interface compatibility, conflict resolution, focused checks, and one fresh aggregate verification pass.

Frequently asked questions

What does the Dispatching Parallel Agents AI skill do?

Splits a coding task into independent parallel agent workstreams with disjoint write sets, explicit inputs and outputs, dependency ordering, and a merge/review plan. Use when several subtasks can proceed without shared mutable state. Not for tightly coupled edits, one failing root cause, or parallel changes to the same files.

Why use Dispatching Parallel Agents on TypingMind?

Because you install it once and use it with any model. Dispatching Parallel Agents is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dispatching Parallel Agents in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thiientv/godmode/tree/main/skills/dispatching-parallel-agents. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dispatching Parallel Agents?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dispatching Parallel Agents?

As many as you like. As long as a model supports skills, you can use Dispatching Parallel Agents with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dispatching Parallel Agents AI skill free?

Yes. It is published on GitHub by thiientv under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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