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scholarplotskill

by waiwai · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install scholarplotskill
Description
ScholarPlot AI Academic Figure Generator. Connects via MCP to generate and edit SCI-standard figures, including line charts, bar charts, heatmaps, neural net...
README (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"
    }
  }
}
Usage Guidance
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.
Capability Tags
requires-sensitive-credentials
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install scholarplotskill
  3. After installation, invoke the skill by name or use /scholarplotskill
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug scholarplotskill
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is scholarplotskill?

ScholarPlot AI Academic Figure Generator. Connects via MCP to generate and edit SCI-standard figures, including line charts, bar charts, heatmaps, neural net... It is an AI Agent Skill for Claude Code / OpenClaw, with 39 downloads so far.

How do I install scholarplotskill?

Run "/install scholarplotskill" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is scholarplotskill free?

Yes, scholarplotskill is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does scholarplotskill support?

scholarplotskill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created scholarplotskill?

It is built and maintained by waiwai (@peizhou); the current version is v1.0.0.

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