Lov Create Qrcode logo

Lov Create Qrcode

Organization
lovstudio
lov-create-qrcode

将网址、文本或任意 UTF-8 内容生成可扫码验证的二维码 PNG，默认只输出码本体，并复用个人配色、圆角、纠错与海报偏好；适用于“生成二维码”“按我的偏好做 QR code”和 “create a QR code”。

Overview

Publisherlovstudio
Repositoryskills
Skill namelov-create-qrcode
Stars
67
Forks
17
Bundled files
18
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 18 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by lovstudio on GitHub. Read the source before you install it.

Installation

Install the Lov Create Qrcode AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/lovstudio/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/create-qrcode .claude/skills/lov-create-qrcode
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lov Create Qrcode in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Lov Create Qrcode on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Lov Create Qrcode is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

二维码工坊 · QR Studio

把一段内容确定性地生成二维码或按需生成 Warm Academic 海报 PNG。默认只输出二维码 本体，不加 header、footer、标题或明文；配色、码点、尺寸、纠错和海报选项可由当前 请求或共享 Profile 覆盖。

Triggers

Activate when

  • 用户说“把这个链接生成二维码”“按我的偏好做一个 QR code”“生成可扫码的二维码海报”。
  • 用户要把文本、网址、Wi-Fi 配置或其他 UTF-8 内容编码成 PNG 二维码。
  • The user asks to “create a QR code”, “make a branded QR poster”, or “use my saved QR preferences”.

Do not activate when

  • 用户要识别、反解或批量提取现有二维码内容；使用二维码识别能力。
  • 用户要装饰一张已有图片，但不需要生成二维码；交给 lov-image-decorator。
  • 用户要生成插画、Logo 或改动二维码所指向的网页；交给对应图像或工程能力。

User Profile (cross-session)

每次运行先读取 skill.yaml 和共享 user-profile/v1。按当前请求、项目上下文、 skills.lov-create-qrcode.records、共享 Preferences、品牌 Profile、安全默认值的顺序 解析配置。具体字段与允许值见 references/style-contract.md。

只有用户直接声明的长期偏好才通过 scripts/profile_store.py record --confirm 保存； 推断自品牌资产、历史产物或当前项目的值只用于本次任务。不得保存二维码载荷、Wi-Fi 密码、token 或其他秘密。

Skill Group Composition

运行前读取 references/skill-composition.md。相邻 Skills 只通过图片、Logo 或已校验的 本地文件交接，不构成隐藏运行依赖。

Workflow (MANDATORY)

Step 0: Resolve root, dependencies, and preferences

  1. 从当前 Skill 上下文解析 SKILL_DIR，确认下列资源存在：
    • $SKILL_DIR/scripts/create_qrcode.py
    • $SKILL_DIR/scripts/profile_store.py
    • $SKILL_DIR/references/style-contract.md
    • $SKILL_DIR/references/skill-composition.md
  2. 读取 skill.yaml 与 Profile；不得把 Profile 中的私有路径或载荷写进 Skill 真源。
  3. 检查 Python、qrcode 与 Pillow。用户要求扫码回读时还要检查 OpenCV。

Step 1: Resolve the payload and visible output

  • 保留用户提供内容的 UTF-8 字节，不擅自补协议、改大小写、去查询参数或缩短网址。
  • 私密载荷优先通过 stdin 或输入文件传入，避免写进 shell history。
  • 未指定样式时使用安全默认：rounded、classic、M 级纠错、4 modules quiet zone。
  • 默认只生成二维码方图，不添加 header、footer、标题、说明、边框海报或载荷明文。
  • 只有用户明确需要海报、标题或说明时启用 --poster；只有用户明确允许显示原始内容 时启用 --show-data。不能因为品牌 Profile 存在名称就自行切换成海报。
  • 使用 Logo 时要求 H 级纠错，且 Logo 必须是用户有权使用的本地图片。

Step 2: Generate through the deterministic CLI

普通二维码：

bash
printf '%s' 'https://example.com' | python3 "$SKILL_DIR/scripts/create_qrcode.py" \
  --stdin --output ./qrcode.png --json

按 Profile 生成 Warm Academic 海报：

bash
printf '%s' 'https://example.com' | python3 "$SKILL_DIR/scripts/create_qrcode.py" \
  --stdin --poster --title '扫码访问' --show-data \
  --output ./qrcode-poster.png --verify scan --json

当前请求中的 flag 始终覆盖 Profile。需要完全忽略 Profile 时使用 --no-profile。

Step 3: Verify the actual artifact

  1. 回读 JSON，确认绝对输出路径、PNG 尺寸、字节数、SHA-256、载荷字节数和载荷摘要。
  2. 至少完成结构校验；对公开交付、打印、Logo 或自定义低对比度样式使用 --verify scan，确认解码内容与输入逐字节一致。
  3. 检查 quiet zone 至少 4 modules、前景比背景更暗、图像没有被拉伸或覆盖。
  4. 海报需视觉检查标题、正文披露、留白与移动端可读性；不得把 verification=structural 写成已扫码验证。

Output contract

  • 默认输出一个宽高等于 size 的纯二维码 PNG；不包含 header、footer 或海报包装。
  • 只有显式 --poster 才输出海报版；只有显式 --force 才允许覆盖精确目标。
  • --json 返回输出路径、尺寸、样式、纠错级别、验证模式、载荷长度与摘要，不回显载荷。
  • 失败时不留下部分文件，并返回可诊断错误；扫码失败不能降级为成功。

Dependencies

  • Python 3.10+
  • qrcode 7.4+ 与 Pillow 9+
  • OpenCV Python 可选，仅用于真实扫码回读
  • 不需要网络、浏览器、凭据或外部 sibling Skill

Runtime context (shared)

字段解析顺序为当前请求、项目上下文、Skill 记录、共享 Preferences、品牌 Profile、 安全默认值。直接声明的长期偏好才写入 Profile，并在结果中报告保存路径。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Lov Create Qrcode AI skill do?

将网址、文本或任意 UTF-8 内容生成可扫码验证的二维码 PNG，默认只输出码本体，并复用个人配色、圆角、纠错与海报偏好；适用于“生成二维码”“按我的偏好做 QR code”和 “create a QR code”。

Why use Lov Create Qrcode on TypingMind?

Because you install it once and use it with any model. Lov Create Qrcode is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Lov Create Qrcode in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lovstudio/skills/tree/main/skills/create-qrcode. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Lov Create Qrcode?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Lov Create Qrcode?

As many as you like. As long as a model supports skills, you can use Lov Create Qrcode with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Lov Create Qrcode AI skill free?

Yes. It is published on GitHub by lovstudio under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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