Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Developer Tools
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 raste...
skill openclawclawhub Free
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 raste...
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- charmmm718
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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
ParamTypeDefaultDescriptionmodelstring—Required. Use arrow-preview.promptstring—Required. Describes the desired SVG.instructionsstring—Additional style guidance (e.g. "flat monochrome, rounded corners").referencesarray—Up to 4 reference images ({ url } or { base64 }).nint1Number of outputs (1–16).temperaturefloat1Sampling temperature (0–2). Lower = more deterministic.top_pfloat1Nucleus sampling (0–1).max_output_tokensint—Upper bound for output tokens (max 131072).streamboolfalseSSE streaming (events: reasoning, draft, content).
Response
{ "id": "resp_01J...", "created": 1704067200, "data": [{ "svg": "<svg ...>...</svg>", "mime_type": "image/svg+xml" }], "usage": { "total_tokens": 1640, "input_tokens": 1200, "output_tokens": 440 } }
Image to SVG (Vectorize)
Convert a raster image (PNG/JPEG/WebP) into SVG. Endpoint: POST /v1/svgs/vectorizations curl -X POST https://api.quiver.ai/v1/svgs/vectorizations \ -H "Authorization: Bearer $QUIVERAI_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "arrow-preview", "stream": false, "image": { "url": "https://example.com/logo.png" } }' SDK: const result = await client.vectorizeSVG.vectorizeSVG({ model: "arrow-preview", image: { url: "https://example.com/logo.png" }, });
Additional parameters (beyond Text-to-SVG shared ones)
ParamTypeDefaultDescriptionimageobject—Required. { url: "..." } or { base64: "..." }.auto_cropboolfalseCrop to dominant subject before vectorization.target_sizeint—Square resize target in px (128–4096) before inference. Response format is identical to Text-to-SVG.
Error codes
StatusCodeMeaning400invalid_requestMalformed body or missing fields.401unauthorizedBad or missing API key.402insufficient_creditsOut of credits.429rate_limit_exceededToo many requests; back off and retry.
Tips
Save SVG output to a .svg file for immediate use. Use instructions to control style without changing the prompt. For logos, try low temperature (0.3–0.5) for cleaner, more consistent results. Use references to provide visual examples the model should match. For vectorization, enable auto_crop: true when the source image has excess whitespace.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md