QuiverAI Skill

v1.0.0

Generate SVGs from text prompts and convert raster images (PNG/JPG/WebP) to SVG using QuiverAI's AI models. Use when user asks to create icons, illustrations...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for lolieatapple/quiver-ai-skill.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "QuiverAI Skill" (lolieatapple/quiver-ai-skill) from ClawHub.
Skill page: https://clawhub.ai/lolieatapple/quiver-ai-skill
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install quiver-ai-skill

ClawHub CLI

Package manager switcher

npx clawhub@latest install quiver-ai-skill
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medium confidence
Purpose & Capability
The skill claims to generate/vectorize SVGs and the SKILL.md exclusively documents using a 'quiver' CLI to do exactly that. Required tools (quiver, filesystem read/write) are consistent with creating and returning SVG files; there are no unrelated service credentials or unrelated binaries requested.
Instruction Scope
Instructions are narrowly scoped to running the quiver CLI, saving outputs (-o), and reading the produced SVGs. One behavioral note: the skill advises passthrough of arbitrary user arguments (quiver $ARGUMENTS) and allows reading files provided by the user (for vectorize), which is expected for this use but gives the agent the ability to operate on arbitrary local files the user points to.
Install Mechanism
No registry install spec is included; the SKILL.md recommends installing a global npm package (npm install -g quiver-ai-cli). That is an expected way to obtain a CLI, but the package name/source is not validated here. Global npm installs can require elevated permissions on some systems and introduce external code from the public registry — reasonable for a CLI but worth verifying the package's trustworthiness.
Credentials
The skill metadata declares no required env vars, but SKILL.md instructs users to set an API key via 'quiver config set api_key <key>' (the CLI's own config). This is proportionate to the stated purpose, but the skill does not declare where the key will be stored or any primaryEnv; users should be aware the key will reside in the CLI config (on disk) rather than in the registry metadata.
Persistence & Privilege
The skill is not always-enabled and does not request elevated or persistent platform privileges. It uses Read/Write to create and inspect output SVG files in the working directory, which matches its purpose. Autonomous invocation is allowed by default but is not combined with unusual credential or persistence demands here.
Assessment
This skill looks coherent for creating and vectorizing SVGs, but check a few things before trusting it: 1) The SKILL.md asks you to install 'quiver-ai-cli' from npm — verify the package name, author, and reviews on the npm registry before running a global install (or prefer a non-global/sandboxed install). 2) The CLI expects an API key that will be stored in the quiver CLI config on disk; be aware where that config is stored and what API/account the key grants. 3) When vectorizing, the agent will operate on local files or URLs you supply — avoid pointing it at sensitive local files. 4) If you need least privilege, create a dedicated API key with limited scope for this tool. If you want additional assurance, ask the maintainer/source of this skill for a verified homepage or a link to the quiver CLI repository before installing.

Like a lobster shell, security has layers — review code before you run it.

latestvk97ba1fwjzzk8m2k77s4nzmxt9840z9d
99downloads
0stars
1versions
Updated 3w ago
v1.0.0
MIT-0

QuiverAI SVG Generation Skill

You have access to the quiver CLI tool for AI-powered SVG generation and image vectorization.

Prerequisites

The quiver CLI must be installed globally:

npm install -g quiver-ai-cli

If the user hasn't configured their API key yet, guide them:

quiver config set api_key <their-key>

Commands

Text to SVG — quiver generate

Generate SVG graphics from a text description.

quiver generate [options] "<prompt>"

Options:

FlagDescription
-m, --model <model>Model ID (default: arrow-preview)
-o, --output <file.svg>Save to file instead of stdout
-s, --streamStream via SSE (shows progress on stderr)
-n, --count <n>Number of SVG variants (default: 1)
-t, --temperature <float>Creativity level (default: 1)
-i, --instructions <text>Additional style guidance
--max-tokens <n>Upper bound on output tokens
-r, --reference <url|file>Reference image (repeatable)

Image to SVG — quiver vectorize

Convert a raster image into a clean SVG vector.

quiver vectorize [options] <image-path-or-url>

Options:

FlagDescription
-m, --model <model>Model ID (default: arrow-preview)
-o, --output <file.svg>Save to file instead of stdout
-s, --streamStream via SSE
-t, --temperature <float>Temperature (default: 1)
--auto-cropAuto-crop to dominant subject
--target-size <px>Resize before processing
--max-tokens <n>Upper bound on output tokens

List Models — quiver models

quiver models list
quiver models get <model-id>

Configuration — quiver config

quiver config set api_key <key>
quiver config set default_model <model>
quiver config get
quiver config path

Workflow

When the user asks you to create or generate an SVG:

  1. Run pwd to confirm the working directory.
  2. Determine whether this is a generate (text-to-SVG) or vectorize (image-to-SVG) task.
  3. Always use -o <filename>.svg to save the output to a file so the user can use it.
  4. Pick a sensible filename based on the prompt content (e.g., rocket-icon.svg).
  5. Run the quiver command.
  6. Read the generated SVG file to verify it was created successfully.
  7. Report the result: file path, file size, and a brief summary.

Arguments Handling

If the user provides arguments directly after /quiver, pass them through:

quiver $ARGUMENTS

Examples

User says "create a rocket icon":

quiver generate -o rocket-icon.svg "a minimalist rocket icon, clean lines, flat design"

User says "make me 3 variants of a logo":

quiver generate -n 3 -o logo.svg "a modern tech startup logo with geometric shapes"

This produces logo-1.svg, logo-2.svg, logo-3.svg when n > 1.

User says "convert this image to SVG" with a file path:

quiver vectorize -o vectorized.svg --auto-crop ./photo.png

User says "vectorize this URL":

quiver vectorize -o output.svg https://example.com/image.png

User says "list available models":

quiver models list

Tips

  • Always save output to a file with -o so the user has a usable artifact.
  • Use --auto-crop for vectorize when the source image has whitespace or background.
  • For icons and simple graphics, a lower temperature (e.g., -t 0.7) gives more consistent results.
  • For creative/artistic SVGs, a higher temperature (e.g., -t 1.2) adds variety.
  • Use -i instructions to control style: "flat design", "line art", "monochrome", "gradient", etc.
  • When generating multiple variants, mention which files were created.
  • If quiver is not found, tell the user to install it: npm install -g quiver-ai-cli
  • If auth fails, tell the user to run: quiver config set api_key <key>

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