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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.

Install / Use

npx skills add Anil-matcha/awesome-muse-connectors --skill luma

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

83/100

Supported Platforms

Universal

Our assessment of luma

luma scores 83/100 on our quality scale, 3183rd of 4,592 Development & Engineering skills we index.

Its SKILL.md is 2.9 KB long, split into 7 sections with 1 code example: a solid amount of guidance for an agent.

With 1,321 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
15/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 20 days ago, so luma is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

luma compared with similar skills

All 4 of these similar skills score higher than luma; compare them before choosing.

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luma (this skill)by Anil-matcha831.3k20d agoSKILL.md
taste-skillby Leonxlnx100102.3ktodayCLAUDE.md
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headroomby headroomlabs-ai10077.8k1d agoCLAUDE.md
ai-job-searchby ai-job-search-dev10065.4k4d agoCLAUDE.md

Frequently asked questions

How do I install luma?
Run npx skills add Anil-matcha/awesome-muse-connectors --skill luma. The install tabs above show the steps for each supported agent.
Which AI agents does luma work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is luma safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is luma still maintained?
The repository was last updated 20 days ago, so luma is actively maintained.

name: "luma" description: "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." metadata: { "includeInPrompt": true } tagline: "Luma Dream Machine video generation: text-to-video and image-to-video, status polling, cancel, image upload." catalog_auth: "API key via the secure credential flow" catalog_hosts: ["api.lumalabs.ai"]

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:

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.

Related Skills

View on GitHub
GitHub Stars1.3k
CategoryDevelopment
Updated20d ago
Forks305

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions