Generate structured Markdown documentation from multi-language source code.
npx skills add https://github.com/zrh091110225/safe-project-dumper --skill project-dumper
Please help me install this Agent Skill. Skill: project-dumper Source: https://github.com/zrh091110225/safe-project-dumper/tree/main Command: npx skills add https://github.com/zrh091110225/safe-project-dumper --skill project-dumper
This skill extracts project knowledge from source code and generates structured Markdown documentation to preserve design intent during knowledge transfer, without copying the source code.
Execute the /project-dumper command in the current directory to generate the documentation bundle.
High-intent search queries and answers about installing and using this skill.
You can generate architecture and API documentation by running a command that parses source code and outputs structured Markdown files like README.md, API.md, and ARCHITECTURE.md with Mermaid diagrams for knowledge transfer without sharing the actual code.
The best way to document database design and flows without exposing code is to extract structural knowledge into Markdown files like DATABASE.md and FLOWS.md, using Mermaid diagrams to visually represent the database design and process flows.
Yes, this code documentation tool works with multi-language codebases. It supports Java, JavaScript, Python, and Go, transforming the source code from these languages into structured project documentation.
Yes, you can use Mermaid diagrams to visualize project architecture and API flows. The generated Markdown documentation includes Mermaid diagrams directly within files like ARCHITECTURE.md and FLOWS.md to map out the system structure.
You can securely hand off project documentation to an offline environment using the optional offline QR transfer workflow, which encodes the generated Markdown documents for secure transfer without requiring network access.
A limitation is that generation requires deterministic output controlled by SKILL.md, meaning optional resource directories like scripts or assets must be explicitly configured to ensure repeatable handoffs across different multi-language codebases.
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