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图像处理需要联网github未标认证来源可访问许可证需确认审计通过

mermaid-to-imageMermaid TO 图像

Agent Skill

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

总安装

11,150

周安装

460

GitHub Stars

公开资料未说明

下载量

3,643
CodexClaudeCursorGemini CLI

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

unknown

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:mermaid-to-image(Mermaid TO 图像)
来源仓库:https://github.com/zc277584121/marketing-skills
仓库路径:skills/mermaid-to-image
安装命令:
npx skills add https://github.com/zc277584121/marketing-skills --skill mermaid-to-image
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/zc277584121/marketing-skills --skill mermaid-to-image

简介

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。

  • 适合根据文本生成图片、处理背景或整理视觉提示词。
  • 使用时需确认输入图片、版权来源、输出格式和模型限制。
  • 涉及人物、品牌或公开展示素材时需额外核对授权与合规边界。
  • mermaid-to-image 属于图像处理类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Skill: Mermaid to Image

Convert ``` `mermaid ``` code blocks in Markdown (or other text) files into PNG images, and replace the code blocks with image references. Useful for platforms that don't render Mermaid natively (GitHub Pages/Jekyll, Dev.to, etc.).


When to Use

  • The user asks to convert Mermaid diagrams in a file to images
  • The user wants to render specific Mermaid code blocks as PNG
  • A publishing workflow requires static images instead of Mermaid code blocks

Workflow

Step 1: Identify target files

The user may specify:

  • A single file: convert mermaid blocks in docs/architecture.md
  • Multiple files: convert mermaid in all files under docs/
  • A specific code block: convert the second mermaid block in README.md

Scan the target file(s) for ``` `mermaid ``` code blocks. Report how many blocks were found and in which files before proceeding.

Step 2: Determine the image output directory

Check the project structure to find where images are typically stored:

# Look for common image directories
ls -d images/ img/ assets/ assets/images/ static/images/ docs/images/ 2>/dev/null

If a clear image directory exists (e.g., images/, assets/images/), use it. Create a subdirectory by topic if appropriate (e.g., images/<topic>/).

If no image directory is obvious or multiple candidates exist, ask the user:

Where should I save the rendered Mermaid images?

1. images/ (create new)
2. assets/images/
3. docs/figures/
4. Custom — enter a path

Tip: add "remember" to save this choice to CLAUDE.local.md.

If the user says "remember", save the choice to the project's CLAUDE.local.md:

## Mermaid Image Output

- **Image directory**: `<chosen-path>`

On subsequent runs, check CLAUDE.local.md for a ## Mermaid Image Output section and use it directly.

Step 3: Render each diagram to PNG

Use the mermaid.ink API to render diagrams. Run this Python snippet for each block:

import base64, urllib.request

def render_mermaid(code: str, output_path: str):
    """Render a Mermaid diagram to PNG via mermaid.ink API."""
    encoded = base64.urlsafe_b64encode(code.encode()).decode()
    url = f"https://mermaid.ink/img/{encoded}?bgColor=white"
    req = urllib.request.Request(url, headers={"User-Agent": "Mozilla/5.0"})
    resp = urllib.request.urlopen(req, timeout=30)
    with open(output_path, "wb") as f:
        f.write(resp.read())

Important: The User-Agent header is required — mermaid.ink returns 403 without it.

Naming convention

Use descriptive filenames based on the diagram content, not generic names:

  • GOOD: architecture-overview.png, data-flow.png, heartbeat-sequence.png
  • BAD: mermaid-1.png, diagram.png, image1.png

Step 4: Replace code blocks with image references

Replace each ``` `mermaid... ` ``` block with a Markdown image reference using a relative path from the file to the image:

![Architecture overview](images/topic/architecture-overview.png)

If the project uses absolute URLs (e.g., GitHub Pages), use those instead:

![Architecture overview](https://example.github.io/images/topic/architecture-overview.png)

Choose the link style that matches the project's existing image references. If unsure, use relative paths.

Step 5: Report results

After processing, summarize:

  • How many diagrams were converted
  • Where the images were saved
  • Which files were modified

Edge Cases

  • Large diagrams: mermaid.ink may time out on very complex diagrams. If a render fails, report the error and suggest the user simplify the diagram or try an alternative renderer.
  • Multiple blocks in one file: process all blocks in order, give each a unique descriptive filename.
  • Already-rendered blocks: if a mermaid block already has a corresponding image (commented out or adjacent), skip it or ask the user.
  • Non-Markdown files: the same approach works for any text file containing mermaid code blocks (e.g., .rst, .txt).

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

33.77%
按下载量换算1,230

Claude

32.42%
按下载量换算1,181

Cursor

21.3%
按下载量换算776

Gemini CLI

9.34%
按下载量换算340

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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