Come usare
- Copia il comando e controlla il pacchetto prima di installarlo nel tuo ambiente agente.
- Controlla strumenti, credenziali e ambienti richiesti nel documento originale.
- Descrivi input e risultato desiderato; confronta l’output con le fonti.
npx skills add https://github.com/samuraigpt/muapi-skills --skill muapi-keyboard-art-makerPrima di iniziare
- L’installazione non include abbonamenti, quote API o accesso ai file.
- Stelle e installazioni indicano attività, non un test indipendente di qualità o sicurezza.
Documento Skill originale
Contenuto dal repository con titoli, esempi, codice, tabelle, link e immagini preservati.
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.
