Automatically generate beautiful, presentation-ready academic and technical roadmaps in SVG and high-resolution PNG formats from simple text or research topics.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tech-roadmap-generator
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install tech-roadmap-generator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Tech Roadmap Generator is an AI-powered system designed to transform research outlines, thesis topics, and complex academic workflows into clean, publication-ready visual schemata. As one of the most versatile Openclaw Skills, it parses text inputs and automatically populates one of ten professional structural templates. The tool ensures academic rigor and precise visual standards, making it ideal for thesis proposals, research papers, and public policy designs.
Whether you need a classic four-stage scientific flow or an empirical survey track featuring statistical analysis blocks, this capability dynamically matches your research domain to an optimal layout. This integration within the Openclaw Skills ecosystem ensures high efficiency, turning raw text drafts into production-ready SVG and high-DPI PNG diagrams without requiring manual vector drawing.
Ensure you have Python 3.8+ installed along with necessary dependencies (such as svglib or standard drawing libraries if required). Place the script folder under your workspace.
To run the roadmap generator via CLI:
# Run the roadmap generation script
python scripts/generate_roadmap.py \\
--template "template-21" \\
--title "Digital Transformation of Urban Community Governance" \\
--output "./output/roadmap.svg" \\
--json "./data/input_content.json"
To leverage this tool as part of your Openclaw Skills suite, ensure the skill path is properly registered in your AI agent configuration file.
The generator accepts a structured JSON file to populate node-specific text and sub-stages. Here is the metadata taxonomy:
| Key | Type | Description | Required |
|---|---|---|---|
title |
String | Main title of the research roadmap | Yes |
stages |
Array | Ordered stages containing stage details | Yes |
stages[].name |
String | The title of the particular phase | Yes |
stages[].items |
Array | Bullet points or nodes to list under the stage | Optional |
stages[].sub_stages |
Array | Nested child stages with items (Template 21/24) | Optional |
stages[].sub_items |
Array | Deeply nested leaf node details | Optional |
conclusion |
String | Text for the final concluding block | Optional |
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