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quiver-ai-skill箭袋 ai 技能

Agent Skill

quiver-ai-skill 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,041

周安装

128

GitHub Stars

公开资料未说明

下载量

1,065
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:quiver-ai-skill(箭袋 ai 技能)
来源仓库:https://github.com/lolieatapple/quiver-ai-skill
安装命令:
openclaw skills install quiver-ai-skill
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install quiver-ai-skill

简介

quiver-ai-skill 支持从文本提示生成 SVG,或将 PNG/JPG 等光栅图转为矢量格式。

  • 适用于 UI 组件开发与图形优化场景。
  • 输出文件可直接嵌入网页,减少加载体积。
  • 转换质量依赖原图清晰度,低分辨率图片效果有限。
  • 建议保留原始文件以备后续编辑使用。quiver-ai-skill 属于效率类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
quiver
description
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, logos as SVG, or to vectorize/convert an image to SVG.
argument-hint
<generate|vectorize|models> [options]
allowed-tools
Bash(quiver:*), Bash(pwd), Read, Write, Glob

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>

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

71.22%
按下载量换算758

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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