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Hyperflow Dispatch

CommunityPopular
jeremylongshore
hyperflow-dispatch

Hyperflow execution phase. Use when a task file exists in .hyperflow/tasks/ and the work needs building — verbs like build, implement, add, refactor, "wire up", "run the plan", "execute the task". Works batches sequentially with self-review and per-task commits. In Antigravity there is no sub-agent fan-out — the single agent does each batch itself.

Overview

Publisherjeremylongshore
Repositorytons-of-skills-marketplace
Skill namehyperflow-dispatch
Stars
2.8K
Forks
402
Bundled files
Instructions only
LicenseMIT
Links
  • 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 jeremylongshore on GitHub. Read the source before you install it.

Installation

Install the Hyperflow Dispatch 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.
  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/jeremylongshore/tons-of-skills-marketplace.git /tmp/tons-of-skills-marketplace
mkdir -p .claude/skills
cp -r /tmp/tons-of-skills-marketplace/plugins/ai-agency/hyperflow/templates/antigravity/skills/hyperflow-dispatch .claude/skills/hyperflow-dispatch
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hyperflow Dispatch 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 Hyperflow Dispatch 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 Hyperflow Dispatch 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.

hyperflow-dispatch — execution phase (Antigravity single-agent)

Execute the task file from hyperflow-plan. No sub-agent dispatch and no model tiers in Antigravity — you do each batch yourself, then self-review before committing. Follow the hyperflow doctrine.

Per batch

  1. Implement every sub-task in the batch (sequentially; they were planned as small, independent units).
  2. Self-review the batch diff against the level checklist:
    • L1 syntax/format/obvious bugs · L2 spec compliance, naming, edge cases · L3 cross-file integration + security (secrets, injection, validation).
    • Elevate to L3 when the change touches auth, data, or external input. Fix anything found before committing.
  3. Quality gates on affected files: run the project's lint, typecheck, and tests. Fix failures (never --no-verify).
  4. Commit per sub-task — one sub-task = one conventional commit (respect commitlint: lowercase subject, allowed scope). Stage only that sub-task's files; never commit files you didn't change.
  5. Update the task file's status block (tick the sub-task, bump progress) and append any durable learning to .hyperflow/memory/.

After all batches

  1. Final integration self-review over the cumulative diff — catch cross-batch contradictions, scope leaks, and any/type regressions.
  2. End gate via AskUserQuestion: offer to run hyperflow-audit (independent review) and/or hyperflow-deploy. Both are binary (no recommended marker). Never auto-push.

Rules

  • A SECURITY_VIOLATION halts immediately — no commit, no continue.
  • If the working tree is dirty with files you didn't create (concurrent work), never stage them; re-check git status before each commit.
  • Auto mode completes every sub-task before any summary — no partial "to resume" hand-offs.

Frequently asked questions

What does the Hyperflow Dispatch AI skill do?

Hyperflow execution phase. Use when a task file exists in .hyperflow/tasks/ and the work needs building — verbs like build, implement, add, refactor, "wire up", "run the plan", "execute the task". Works batches sequentially with self-review and per-task commits. In Antigravity there is no sub-agent fan-out — the single agent does each batch itself.

Why use Hyperflow Dispatch on TypingMind?

Because you install it once and use it with any model. Hyperflow Dispatch 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 Hyperflow Dispatch in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/hyperflow/templates/antigravity/skills/hyperflow-dispatch. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hyperflow Dispatch?

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 Hyperflow Dispatch?

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

Is the Hyperflow Dispatch AI skill free?

Yes. It is published on GitHub by jeremylongshore 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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