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scholarplotskill

作者 waiwai · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
39
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install scholarplotskill
功能描述
ScholarPlot AI Academic Figure Generator. Connects via MCP to generate and edit SCI-standard figures, including line charts, bar charts, heatmaps, neural net...
使用说明 (SKILL.md)

scholarPlotSkill

ScholarPlot is an AI academic figure generation tool designed for researchers. It uses an MCP (Model Context Protocol) server to instantly generate professional, SCI-journal standard figures from natural language descriptions.

Core Directives

  • MCP Server Dependency: This skill requires the scholarplot-sci-figure MCP server to be configured and running with a valid API key from https://figure.thirdme.com/mcp.
  • Intelligent Generation: Use the generate_sci_figure MCP tool to create figures. Always pass a detailed description. You can optionally specify figureType, style (e.g., nature, science, ieee), and exact dataValues for data charts.
  • Interactive Editing: Use the edit_figure MCP tool to modify existing figures. Pass the figureId and specific editInstructions (e.g., "Change the bar color to blue").
  • High-Quality Output: Return the generated figureUrl to the user so they can view and download the high-resolution (300dpi) or vector (SVG) format image. Present the metadata cleanly.

Execution Pipeline

Step 1: Tool Selection

Determine if the user wants to generate a new figure or edit an existing one based on the conversation context.

Step 2: Invoke MCP Tool

  • For New Figures: Call generate_sci_figure with the provided descriptions and any available data.
  • For Edits: Call edit_figure with the target figureId and instructions.

Step 3: Present Results

Once the MCP tool returns a response, format the output nicely for the user:

  • Display the figure using Markdown image syntax: ![Generated Figure](figureUrl) (if supported by the client) or provide the direct URL.
  • Summarize the metadata (e.g., Type, Style, Resolution).
  • Provide the figureCode if the user wants to review the underlying representation.

Configuration Requirements

Users must configure their Claude Desktop (or other MCP-compatible client) with the following in mcp.json or claude_desktop_config.json:

{
  "mcpServers": {
    "scholarplot-sci-figure": {
      "url": "https://figure.thirdme.com/api/mcp-sse?key=YOUR_API_KEY"
    }
  }
}
安全使用建议
Before installing, users should understand that figure prompts, edit instructions, and any supplied research data may be sent to figure.thirdme.com through MCP. Keep the API key private, avoid submitting confidential or unpublished data unless the service's terms are acceptable, and use more specific prompts when editing figures to avoid accidental activation.
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
The stated purpose, runtime instructions, and README all align around using ScholarPlot's MCP tools to generate or edit academic figures from user descriptions and optional data values.
Instruction Scope
The trigger example "edit figure" is broad, but the skill's actual workflow asks the agent to determine figure-generation or figure-editing intent from context and editing requires a figureId.
Install Mechanism
There are no executable install scripts or package dependencies; setup is a manual MCP configuration using a figure.thirdme.com URL with the user's API key.
Credentials
The artifact consists only of markdown instructions and documentation. Network use is limited to the disclosed ScholarPlot MCP service and is proportionate to the figure-generation purpose.
Persistence & Privilege
No background process, privilege escalation, local indexing, file mutation, or hidden persistence is requested. The only persistent material described is the user's MCP client configuration containing their API key.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install scholarplotskill
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /scholarplotskill 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
- Initial release of scholarPlotSkill: An AI-powered academic figure generator for researchers. - Supports creation and editing of SCI-standard figures such as line charts, bar charts, heatmaps, neural network diagrams, and experimental flowcharts via natural language commands. - Integrates with the scholarplot-sci-figure MCP server; requires user API key from figure.thirdme.com. - Provides high-quality (300dpi or SVG) output links and clear presentation of figure metadata. - Offers interactive editing of existing figures through precise instructions.
元数据
Slug scholarplotskill
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

scholarplotskill 是什么?

ScholarPlot AI Academic Figure Generator. Connects via MCP to generate and edit SCI-standard figures, including line charts, bar charts, heatmaps, neural net... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 39 次。

如何安装 scholarplotskill?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install scholarplotskill」即可一键安装,无需额外配置。

scholarplotskill 是免费的吗?

是的,scholarplotskill 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

scholarplotskill 支持哪些平台?

scholarplotskill 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 scholarplotskill?

由 waiwai(@peizhou)开发并维护,当前版本 v1.0.0。

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