A companion example repository for a course on using Claude Code for real engineering work. It provides skills for code review, API conventions and documentation, financial analysis, and codebase visualization.
@huangjia2019API design patterns and conventions for this project. Covers RESTful URL naming, response format standards, error handling, and…
@huangjia2019Generate API documentation from code. Use when the user wants to document APIs, create API reference, generate endpoint…
@huangjia2019Generate API endpoint code and documentation from specifications. Use when the user wants to create new API endpoints, generate…
@huangjia2019Perform a comprehensive code health check on a directory. Use when the user asks to analyze code quality, find issues, or get a…
@huangjia2019Review code for quality, security, and best practices. Use when the user asks for code review, wants feedback on their code,…
@huangjia2019Generate an interactive tree visualization of your codebase. Use when exploring a new repo or understanding project structure.
@huangjia2019Generate API documentation from a route manifest. Use when you have a list of discovered routes and need to produce markdown…
@huangjia2019Analyze financial data, calculate financial ratios, and generate analysis reports. Use when the user asks about revenue, costs,…
@huangjia2019Validate API documentation against quality standards. Use when you need to verify generated docs are complete and correct.
@huangjia2019React 组件设计模式、Hooks 使用指南、性能优化技巧
@huangjia2019Scan Express.js source files to discover all API route definitions.
@huangjia2019Generate comprehensive API documentation by scanning Express route files.
@huangjia2019Explore and analyze API-related code. Use when investigating endpoints, routing, or HTTP handling.
@huangjia2019Explore and analyze authentication-related code. Use when investigating auth flows, session management, or security.
@huangjia2019Analyze root cause of bugs after location is identified. Second step in bug investigation.
@huangjia2019Implement bug fixes after analysis is complete. Third step in bug fix pipeline.
@huangjia2019Locate the source of bugs in the codebase. First step in bug investigation.
@huangjia2019Verify bug fixes by running tests. Final step in bug fix pipeline.
@huangjia2019Review code changes for quality, security, and best practices. Proactively use this after code modifications.
@huangjia2019Explore and analyze database-related code. Use when investigating data models, queries, or persistence.
@huangjia2019Pipeline Stage 2 - Generate API documentation from a route manifest.
@huangjia2019Analyze log files and extract actionable insights. Use when troubleshooting issues or investigating incidents.
@huangjia2019Pipeline Stage 3 - Validate generated API documentation against quality standards.
@huangjia2019Deep analysis of code against project standards
@huangjia2019Quick git commit with auto-generated or specified message
@huangjia2019Explain code in simple, beginner-friendly terms
@huangjia2019Show recent git history with summary
@huangjia2019Create a pull request with auto-detected context
@huangjia2019Deploy with safety checks and automatic testing
@huangjia2019Show git status with helpful context
@huangjia2019Add a TODO comment to code with optional priority and assignee
@huangjia2019Fetches current, version specific documentation and code examples for a library, so the agent stops working from stale training…
@huangjia2019Retrieves a URL and returns the page content as text the agent can read.
@huangjia2019Reads, writes and lists files in directories you explicitly allow.
@huangjia2019Reads and writes GitHub issues, pull requests, files and repository metadata.
@huangjia2019Stores and retrieves facts across sessions through a persistent knowledge graph.
@huangjia2019Runs read queries against a PostgreSQL database and inspects its schema.
@huangjia2019Is this you? Claim your profilePut a plugin at the top of Plugins, from $9
