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Frame Flowchart Sticky

OrganizationPopular
nexu-io
frame-flowchart-sticky

SVG 曲线连接 + 便利贴节点 + 光标交互, 像白板 brainstorm

Overview

Publishernexu-io
Repositoryhtml-anything
Skill nameframe-flowchart-sticky
Stars
8.9K
Forks
861
Bundled files
2
LicenseApache-2.0
Links
  • 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.

  • 2 bundled files

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

  • Open source

    Published by nexu-io on GitHub. Read the source before you install it.

Installation

Install the Frame Flowchart Sticky 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/nexu-io/html-anything.git /tmp/html-anything
mkdir -p .claude/skills
cp -r /tmp/html-anything/next/src/lib/templates/skills/frame-flowchart-sticky .claude/skills/frame-flowchart-sticky
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Frame Flowchart Sticky 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 Frame Flowchart Sticky 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 Frame Flowchart Sticky 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.

【模板: 便利贴流程图帧 (Sticky Flowchart)】 【意图】把一个流程 / 系统 / 工作流画成"白板 + 便利贴"的样子, 适合 onboarding 视频、运营流程说明、系统架构讲解。Inspired by hyperframes flowchart。

【画布】1920×1080。背景: 米黄白板纸 #f4ede1 或冷灰白板 #f0f2f4; 加非常浅的 hex grid rgba(0,0,0,0.04) 让它有白板感。

【节点 (Sticky Notes)】

  • 每节点 = 一张 240×180px 便利贴, 4 套颜色随机分配: 黄 #fcd34d / 桃 #fca5a5 / 薄荷 #a7f3d0 / 天 #a5b4fc
  • 便利贴有轻微旋转 transform: rotate(±2deg) 不一致, 投影 drop-shadow(0 6px 14px rgba(0,0,0,0.12)), 顶部胶带 linear-gradient(...) 装饰。
  • 节点内容: 1 个 emoji 或单线 SVG icon + 大字标题 (16-20px) + 一行描述 (12px)。
  • 节点字体: Kalam / Caveat / Patrick Hand 手写感字体 (中文用 霞鹜文楷LXGW WenKai Screen)。

【连接线 (SVG)】

  • <path> Bezier 曲线连接节点, stroke #2a2a2a, width 2.5, stroke-linecap: round, stroke-dasharray: 0 (实线) 或 8 6 (虚线 = 条件分支)。
  • 箭头终端用 marker-end, 黑色三角小箭头。
  • 复杂节点可有循环或分支: 同一节点连出 2 条 (分叉) 或 2 条进入一节点 (合并)。

【可选交互】

  • 顶部 caption (sans, 12px uppercase): "FLOW · MIGRATION · 2026"。
  • 鼠标 hover 节点: 抬起阴影 + scale 1.05, 用 CSS transition。
  • 一个"光标"装饰 (<svg> arrow + name tag), 浮在某节点旁, 模拟 figma 协作光标。

【设计细节】

  • 至少 5 个节点, 最多 12 个。
  • 节点排布不要全部居中对齐, 要有一点白板风的"随手贴"感, 但保证连接线清晰不交叉。
  • 严禁: 全屏深色背景、霓虹色、企业 dashboard 风格。
  • 字体不能用 Inter / 衬线, 必须手写感。
  • 单文件 HTML, 不要外部图标库 (用 inline SVG)。
  • 必须用用户的真实流程内容; 节点文字直接来自用户输入。

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 Frame Flowchart Sticky AI skill do?

SVG 曲线连接 + 便利贴节点 + 光标交互, 像白板 brainstorm

Why use Frame Flowchart Sticky on TypingMind?

Because you install it once and use it with any model. Frame Flowchart Sticky 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 Frame Flowchart Sticky in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nexu-io/html-anything/tree/main/next/src/lib/templates/skills/frame-flowchart-sticky. 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 Frame Flowchart Sticky?

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 Frame Flowchart Sticky?

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

Is the Frame Flowchart Sticky AI skill free?

Yes. It is published on GitHub by nexu-io under the Apache-2.0 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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