Mode d’emploi
- Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
- Consultez le document original pour les outils, identifiants et environnements requis.
- Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/samuraigpt/muapi-skills --skill muapi-keyboard-art-makerAvant de commencer
- L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
- Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.
Keyboard Art Maker
Generate artistic top-down photos of keyboard keycaps arranged to spell out custom text messages.
Inputs
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
display_text | text | yes | — | The text you want to spell out with keycaps (e.g., "WORKFLOWS ON VADOO AI"). |
Steps
Phase A — Keyboard Art Generation
Submit the plan with ONE step to generate the artistic keyboard image:
- Keyboard Art Generation —
muapi image generate(model=ideogram-v3-t2i):
- Prompt:
The photograph captures white keycaps, arranged neatly on a dusty black surface to spell "{{display_text}}". Each keycap displays a crisp black letter, with soft, diffused lighting highlighting the subtle shadows, creating a harmonious contrast between the keycaps and their backdrop, while the top-down shot ensures the phrase is clear and in perfect focus. There should be adequate spacing between words. Cinematic quality, professional studio lighting, 8k resolution. - Aspect ratio: 1:1 or 4:3
After generation, present the final keyboard art image to the user.
Trigger Keywords
keyboard art, keycap text, spell with keys, keyboard message, custom keycap image
Notes for the Executing Agent
- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call
muapiCLI commands. Usemuapi auth configurefirst ifMUAPI_API_KEYis unset. - For model IDs without a CLI alias yet, fall back to the raw endpoint via
curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'and poll withmuapi predict wait <request_id>. - Substitute
{{input_name}}placeholders with the user's actual inputs before issuing each call.

