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PythonReactSEOPDF
OpenClaw

quiverai

Generate and vectorize SVG graphics via the QuiverAI API (Arrow model). Use when the user asks to create logos, icons, or illustrations as SVG, convert raster images (PNG/JPEG/WebP) to SVG, or generate vector graphics from text prompts.

charmmm7180 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install charmmm718/quiverai

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

QuiverAI — AI Vector Graphics

QuiverAI generates production-ready SVGs from text prompts or raster images.

  • Site: https://quiver.ai
  • Docs: https://docs.quiver.ai
  • API base: https://api.quiver.ai/v1
  • Model: arrow-preview
  • Auth: Bearer token via QUIVERAI_API_KEY
  • Billing: 1 credit per request (regardless of n).

Setup

Get an API key at https://app.quiver.ai/settings/api-keys (create account at https://quiver.ai/start first).

Text to SVG

Generate SVGs from a text description.

Endpoint: POST /v1/svgs/generations

curl -X POST https://api.quiver.ai/v1/svgs/generations \
  -H "Authorization: Bearer $QUIVERAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "arrow-preview",
    "prompt": "A minimalist monogram logo using the letter Q",
    "n": 1,
    "stream": false
  }'

Node.js SDK (npm install @quiverai/sdk):

import { QuiverAI } from "@quiverai/sdk";
const client = new QuiverAI({ bearerAuth: process.env.QUIVERAI_API_KEY });

const result = await client.createSVGs.generateSVG({
  model: "arrow-preview",
  prompt: "A minimalist monogram logo using the letter Q",
});
// result.data[0].svg contains the SVG markup
Parameters
Param Type Default Description
model string — Required. Use arrow-preview.
prompt string — Required. Describes the desired SVG.
instructions string — Additional style guidance (e.g. "flat monochrome, rounded corners").
references array — Up to 4 reference images ({ url } or { base64 }).
n int 1 Number of outputs (1–16).
temperature float 1 Sampling temperature (0–2). Lower = more deterministic.
top_p float 1 Nucleus sampling (0–1).
max_output_tokens int — Upper bound for output tokens (max 131072).
stream bool false SSE streaming (events: reasoning, draft, content).
Response
{
  "id": "resp_01J...",...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/charmmm718/quiverai
Version
—
Commit
549bc432047ac090f7f88fdf39c65d6295665a3f
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# QuiverAI — AI Vector Graphics

QuiverAI generates production-ready SVGs from text prompts or raster images.

- Site: https://quiver.ai
- Docs: https://docs.quiver.ai
- API base: `https://api.quiver.ai/v1`
- Model: `arrow-preview`
- Auth: Bearer token via `QUIVERAI_API_KEY`
- Billing: 1 credit per request (regardless of `n`).

## Setup

Get an API key at https://app.quiver.ai/settings/api-keys (create account at https://quiver.ai/start first).

## Text to SVG

Generate SVGs from a text description.

**Endpoint:** `POST /v1/svgs/generations`

```bash
curl -X POST https://api.quiver.ai/v1/svgs/generations \
  -H "Authorization: Bearer $QUIVERAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "arrow-preview",
    "prompt": "A minimalist monogram logo using the letter Q",
    "n": 1,
    "stream": false
  }'
```

Node.js SDK (`npm install @quiverai/sdk`):

```typescript
import { QuiverAI } from "@quiverai/sdk";
const client = new QuiverAI({ bearerAuth: process.env.QUIVERAI_API_KEY });

const result = await client.createSVGs.generateSVG({
  model: "arrow-preview",
  prompt: "A minimalist monogram logo using the letter Q",
});
// result.data[0].svg contains the SVG markup
```

### Parameters

| Param | Type | Default | Description |
|---|---|---|---|
| `model` | string | — | Required. Use `arrow-preview`. |
| `prompt` | string | — | Required. Describes the desired SVG. |
| `instructions` | string | — | Additional style guidance (e.g. "flat monochrome, rounded corners"). |
| `references` | array | — | Up to 4 reference images (`{ url }` or `{ base64 }`). |
| `n` | int | 1 | Number of outputs (1–16). |
| `temperature` | float | 1 | Sampling temperature (0–2). Lower = more deterministic. |
| `top_p` | float | 1 | Nucleus sampling (0–1). |
| `max_output_tokens` | int | — | Upper bound for output tokens (max 131072). |
| `stream` | bool | false | SSE streaming (events: `reasoning`, `draft`, `content`). |

### Response

```json
{
  "id": "resp_01J...",...

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