Can I use this for other projects?

While specifically tailored for the Paper Tracker project, the structural logic provides a template for analyzing modular Python applications.

Does it support visual diagrams?

Yes, it automatically generates Mermaid flowcharts to visualize the execution path from CLI commands to data storage.

How detailed is the function call analysis?

It focuses on primary function-level chains (CLI to storage) to maintain architectural clarity without getting bogged down in utility function details.

What does the codebase-overview skill do?

It analyzes the Paper Tracker repository to create a structured explanation of its modules, data flow, and core functions.

Where is the generated documentation stored?

By default, the skill suggests writing documentation to the docs/zh/ directory with a naming convention like architecture_*.md.

Paper Tracker Codebase Architect

Name: Paper Tracker Codebase Architect
Author: RainerSeventeen

byRainerSeventeen

•

学习与文档

Generates comprehensive architectural overviews and data flow diagrams for the Paper Tracker academic research tool.

This skill automates the process of mapping out the Paper Tracker repository's internal structure, providing developers with high-level insights into module responsibilities and data transformations. It produces structured documentation including Mermaid flowcharts that trace execution from CLI input through arXiv and OpenAlex adapters to LLM enhancement and final storage. It is particularly useful for onboarding new contributors, conducting code reviews, or generating technical documentation for the system's modular search, translation, and rendering pipeline.

主要功能

01Automated module mapping across CLI, config, core, and service layers

02Identifies core data structures like SearchQuery, Paper, and LLMGeneratedInfo

03Standardizes documentation output for project architecture and dependencies

0434 GitHub stars

05Generates Mermaid-based calling and data flow diagrams for visual clarity

06Traces data flow from external API ingestion to LLM-enhanced storage

使用场景

01Visualizing complex search and LLM translation workflows for technical audits

02Onboarding developers to the Paper Tracker codebase by explaining module boundaries

03Generating up-to-date architectural documentation for the project's documentation site

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rainerseventeen/paper-tracker codebase-overview

For use in Claude.ai and ChatGPT

Download Skill