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Luma

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Anil-matcha
luma

Luma Dream Machine video generation: text-to-video and image-to-video, status polling, cancel, image upload. Trigger phrases: luma, dream machine, luma video, ray video.

Overview

PublisherAnil-matcha
Repositoryawesome-muse-connectors
Skill nameluma
Stars
1.4K
Forks
309
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Anil-matcha on GitHub. Read the source before you install it.

Installation

Install the Luma 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/Anil-matcha/awesome-muse-connectors/tree/main/connectors/luma
  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/Anil-matcha/awesome-muse-connectors.git /tmp/awesome-muse-connectors
mkdir -p .claude/skills
cp -r /tmp/awesome-muse-connectors/connectors/luma .claude/skills/luma
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Luma 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 Luma 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 Luma 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.

Luma (Dream Machine API)

Purpose

Generate short-form video with Luma's Dream Machine API: text-to-video and image-to-video, plus generation cancel and image upload for reference frames. A strong default for short clips in the catalog. Confirm exact model IDs in docs.lumalabs.ai before use; the API surface skews toward Dream Machine generation.

Tooling

All commands go through bin/luma.py:

bash
bin/luma.py auth                                                          # verify the API key (free)
bin/luma.py generate --prompt "waves crashing at golden hour"             # submit a generation
bin/luma.py generate --prompt "slow push in" --image-url https://.../frame.png   # image-to-video
bin/luma.py generate --prompt "..." --model ray2 --json '{"aspect_ratio": "16:9"}'
bin/luma.py status --id <generation_id>                                   # poll (no faster than every 5s)
bin/luma.py cancel --id <generation_id>                                   # cancel a queued/running generation
bin/luma.py upload --file ./frame.png                                     # upload an image for reference frames

generate prints the generation id. Poll status with backoff; states move toward completed or failed. Webhooks are supported for production use.

Auth

  • Provider id: luma (credential is collected as custom.luma)
  • Collection: API key via the secure credential flow (credentials.request_api_access); created in the Luma developer dashboard
  • Allowed hosts: api.lumalabs.ai
  • Status check: bin/luma.py auth (must return "ok": true). The key is sent as Authorization: Bearer <key>.

Operating Rules

  1. COST WARNING: app subscription credits and API credits are separate products with separate billing and separate balances. Do not mix them. Generations here spend API credits (~$0.08/sec for Ray2-class video; recheck the live pricing page).
  2. Confirm with Michael before every generate, stating the model and expected duration/cost.
  3. Poll status no faster than every ~5 seconds.
  4. Output MP4 URLs are temporary. Download promptly; never store the URL as the artifact.
  5. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/luma.py). Do not print, log, or transmit the key value.

Files

  • SKILL.md
  • bin/luma.py

Maturity

🧪 Draft: written from Luma's public API docs via the research dossier; not yet live-tested end-to-end. The /upload path and current model IDs need a live check against docs.lumalabs.ai on first use.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Luma AI skill do?

Luma Dream Machine video generation: text-to-video and image-to-video, status polling, cancel, image upload. Trigger phrases: luma, dream machine, luma video, ray video.

Why use Luma on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/luma. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Luma?

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 Luma?

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

Is the Luma AI skill free?

Yes. It is published on GitHub by Anil-matcha 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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