edwinhu/workflows

This skill should be used when reviewing AI-generated text, checking for AI writing patterns, detecting undisclosed AI content, or before finalizing any written content. Covers 12 categories of AI writing indicators from Wikipedia's comprehensive guide.

This skill should be used when the user asks to "cite a case", "format a citation", "check Bluebook format", "cite a statute", "use id. or supra", "format footnotes", "cite a law review article", or needs Bluebook 21st Edition citation guidance. Covers cases, statutes, secondary sources, signals, and short forms.

Extract reusable patterns from Claude Code sessions and save them as learned skills.

This skill should be used when the user asks to "implement using TDD", "test-driven development", "RED-GREEN-REFACTOR", or "write failing test first". Enforces test-first approach with RED-GREEN-REFACTOR cycle and execution-based verification.

This skill should be used when the user asks to "what plugins are available", "list dev tools", "what MCP servers can I use", "enable code intelligence", or needs to discover available development plugins like serena, context7, or playwright.

This skill should be used when the user asks to "create an isolated worktree", "set up worktree for feature", "create a feature branch worktree", or needs workspace isolation with automatic dependency setup and test verification.

This skill should be used when the user asks "what plugins are available", "list data science tools", "what MCP servers can I use", "enable code intelligence", or needs to discover available plugins like serena, context7, or data access skills like wrds and lseg-data.

This skill should be used when the user asks to "use Gemini Batch API", "process documents at scale", "submit a batch job", "upload files to Gemini", or needs large-scale LLM processing. Includes production gotchas and best practices.

This skill should be used when the user asks about “email”, “Gmail”, “calendar”, “Google Calendar”, “Google Drive”, “contacts”, “Google Sheets”, “Google Docs”, “Google Tasks”, “Google Keep”, “send email”, “create event”, “search drive”, or needs to interact with Google Workspace services via the gog CLI.

This skill should be used when the user asks to "convert notebook to text", "use jupytext", "version control notebooks", "share data between kernels", "set up multi-kernel project", "pair notebooks with Python files", "sync ipynb and py files", or needs multi-kernel projects (Python/R/Stata/SAS) with version-control-friendly notebooks.

This skill should be used when the user asks to “access LSEG data”, “query Refinitiv”, “get market data from Refinitiv”, “download fundamentals from LSEG”, “access ESG scores”, “convert RIC to ISIN”, “get shareholder activism data”, “query poison pills”, “access corporate governance data”, “find activist campaigns”, “get syndicated loans data”, “query loan deals”, “get infrastructure projects”, “query project finance data”, “get private equity data”, “query VC investments”, “find PE-backed companies”, “get M&A data”, “query mergers and acquisitions”, “find acquisition deals”, “get IPO data”, “query equity offerings”, “find new issues”, “get joint venture data”, “query strategic alliances”, “get news headlines”, “query news data”, “fetch news articles”, or needs the LSEG Data Library Python API.

This skill should be used when the user asks to "use marimo", "create a marimo notebook", "debug a marimo notebook", "inspect cells", "understand reactive execution", "fix marimo errors", "convert from jupyter to marimo", or works with marimo reactive Python notebooks.

This skill should be used when the user asks to "create a notebook", "add source to notebook", "generate audio overview", "create podcast", "manage NotebookLM", "nlm", "add PDF to notebook", "list notebooks", "summarize sources", "generate study guide", "create FAQ", "briefing document", "chat with notebook", "generate outline", "research a topic", "deep research", or needs to interact with Google NotebookLM via the nlm CLI tool.

This skill should be used when the user asks to "debug notebook", "inspect notebook outputs", "find notebook error", "read traceback from ipynb", "why did notebook fail", or needs to understand runtime errors in executed Jupyter notebooks from any source (marimo, jupytext, papermill).

This skill should be used when the user asks to "search Readwise", "find highlights", "get quotes from my reading", "add highlights to notebook", "search my annotations", "get full document text", "fetch article content", "add tagged documents to notebook", or needs to query their Readwise library.

This skill should be used when the user asks to "query WRDS", "access Compustat", "get CRSP data", "pull Form 4 insider data", "query ISS compensation", "download SEC EDGAR filings", "get ExecuComp data", "access Capital IQ", or needs WRDS PostgreSQL query patterns.