google-scholar
This skill should be used when the user asks to "search Google Scholar", "find academic papers", "scholar search", "lookup papers", "find citations", "academic search", "search for papers by author", "find journal articles", "get BibTeX", "cite this paper", "download paper", or needs to search Google Scholar for academic literature via the scholar CLI tool.
jupytext
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.
writing
This skill should be used when the user asks to 'write a paper', 'start a writing project', 'draft an article', 'write about', 'brainstorm writing topics', 'gather sources for a paper', 'what should I write about', or needs the writing workflow entry point for any writing task.
writing-revise
This skill should be used when the user asks to 'revise writing', 'fix review issues', 'polish draft', 'apply review feedback', 'complete writing workflow', or after /writing-review produces REVIEW.md with issues to fix.
writing-review
This skill should be used when the user asks to 'review my writing', 'check document structure', 'find issues in draft', 'review transitions', or needs hierarchical document review that produces REVIEW.md for /writing-revise.
wrds
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", "write SAS code for WRDS", "SAS ETL", "SAS hash merge", "SGE array job", "qsas", "qsub SAS", or needs WRDS PostgreSQL query patterns or SAS ETL performance patterns.
workflow-creator
This skill should be used when the user asks to 'create a workflow', 'design a workflow', 'audit workflow', 'improve workflow', 'break down a task into phases', 'add enforcement patterns', or needs to design structured multi-phase processes for LLM agents.
visual-verify
This skill should be used when the user asks to 'verify visual output', 'check how it looks', 'render and review', 'visual verify', 'check the slide', 'does this look right', or when any task produces rendered visual output (slides, charts, documents, UI). Starts a render-vision-fix loop using Gemini vision.
visual-mockup
This skill should be used when the user asks to 'mockup the layout', 'sketch the diagram', 'show me the layout before coding', 'draft the positions', 'quick visual of the layout', 'matplotlib mockup', 'interactive mockup', 'drag and drop layout', 'draw a rough layout', 'prototype the diagram', 'let me arrange the nodes', 'mockup the chart before CeTZ', or when you're about to write a diagram with 4+ nodes or a CeTZ chart and want to confirm the visual with the user first.
source-verify
This skill should be used when the user asks to 'verify sources', 'check citations', 'fact-check footnotes', 'verify quotes', 'source check', 'are my cites real', 'check for hallucinated citations', or needs to verify that citations in a legal/academic manuscript actually exist and are accurate. Also use when the user wants to check that quoted text actually appears in the cited source.
skill-creator
This skill should be used when the user asks to 'create a skill', 'improve a skill', 'add enforcement patterns to a skill', 'audit skill enforcement', 'skill with superpowers patterns', or needs skill creation with behavioral enforcement (Iron Laws, Rationalization Tables, Red Flags). Wraps the built-in skill-creator with superpowers enforcement awareness. Use this INSTEAD of skill-creator:skill-creator when working in the workflows plugin.
scheduling-poll
Create a Morgen scheduling poll and pre-fill your availability. Use when "create scheduling poll", "find time to meet", "scheduling poll", "when can we meet", "poll for meeting time", or coordinating group availability.
readwise
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.
readwise-search
Search Readwise highlights. Use when the user wants to find highlights, quotes, notes, or annotations from their reading library. Triggers on "search highlights", "find in readwise", "what did I highlight about", "my notes on".
readwise-prune
Clean up stale Readwise Reader documents. Use when the user wants to declutter their reading library, remove old unread articles, or manage Reader inbox. Triggers on "clean up readwise", "prune reader", "delete old articles", "declutter reading list".
readwise-docs
Manage Readwise Reader documents. Use when the user wants to list, save, update, or delete documents in their Reader library. Triggers on "add to reader", "save article", "list my documents", "readwise list", "reader documents".
readwise-chat
Chat with Readwise highlights using GPT-5.1 RAG. Use when the user wants to ask questions about their reading library, get summaries across documents, or have a conversation about their highlights. Triggers on "ask readwise", "chat about my highlights", "what do my notes say about", "summarize my reading on".
reading-add
Add file or URL to reading inbox. Use when "add to reading list", "save for reading", "put this on my reading list", "reading inbox", "read later", or when triaging email attachments for reading.
pptx-render
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pattern-capture
This skill should be used when the user asks to 'find repeated feedback', 'what do I keep correcting', 'capture this pattern', 'DRY my prompting', 'stop repeating myself', 'turn this into a check', 'automate this correction', or when the same type of feedback has been given 3+ times across sessions.
notebook-debug
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).
nlm
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.
marimo
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.
data-context
This skill should be used when the user asks to 'set up data analysis for our database', 'extract tribal knowledge about dataset', 'generate data skill', 'document this dataset', 'what does this column mean', 'create data dictionary', 'help me understand this data schema', 'capture domain knowledge about our data', or needs to create a reusable data context skill from dataset expertise.
dev-tools
This skill should be used when the user asks 'what development tools are available', 'list dev plugins', 'what MCP servers can I use', 'enable code intelligence', 'what testing tools exist', or needs to discover development plugins like serena, playwright, or context7. Use this for general development tool discovery; use ds-tools for data science-specific tools.
dev-worktree
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.
dev
This skill should be used when the user asks to 'start a feature', 'build a feature', 'implement a feature', 'develop', 'new feature', or needs the full 7-phase development workflow with TDD enforcement.
docx-footnotes
Repair DOCX footnote damage from Google Docs or Word Online round-trips, and convert hardcoded supra/infra note references to auto-updating NOTEREF field codes. Use this skill whenever a user's .docx footnotes are broken after editing in a cloud editor — common symptoms include missing footnote separator lines, stripped paragraph styles (pStyle), author bio custom marks (*, †, ‡) replaced with numbers, footnote numbering starting at the wrong number, or TOC separator paragraphs that inflate to fill a whole page. Also use this skill when the user wants to convert 'supra note N' cross-references to NOTEREF fields, fix footnote numbering offsets caused by customMarkFollows bio footnotes, or perform any OOXML-level footnote surgery on a Word document. Even if the user doesn't mention OOXML or XML directly — if they describe footnote formatting problems in a .docx that was edited in Google Docs or Word Online, this is the right skill.
ds-fix
This skill should be used when the user asks to 'fix analysis', 'wrong results', 'notebook error', 'reviewer feedback', 'data changed', 'debug notebook', or needs mid-analysis course-correction for wrong results, notebook errors, or data changes.
ds-tools
This skill should be used when the user asks 'what data science tools are available', 'list data analysis plugins', 'what skills work with data', 'enable data science code intelligence', or needs to discover data-specific plugins and skills like wrds, lseg-data, gemini-batch, or data context skills. Use this for data science tool discovery; use dev-tools for general development tool discovery.
ds
This skill should be used when the user asks to 'start data analysis', 'brainstorm analysis approach', 'plan a data project', 'clarify analysis requirements', or needs the full 5-phase data science workflow with output-first verification.
gemini-batch
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.
lseg-data
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.
audit-fix-loop
This skill should be used when the user asks to 'iteratively improve', 'audit and fix', 'hill-climb quality', 'grade and improve', 'score and fix', 'audit loop', 'quality loop', or needs structured iterative improvement of an artifact using scored independent audits. Also use when the user invokes a ralph loop for quality improvement rather than task completion.
context-daddy
Context management tools for Claude Code - provides intelligent codebase mapping with Python, Rust, and C++ parsing, duplicate detection, and MCP-powered symbol queries. Use this skill when working with large codebases that need automated indexing and context management.
deferred-finding
Use when a review finding cannot be fixed in current PR - creates properly documented tracking issue with full context, linked to parent, following full issue-driven-development process
issue-driven-development
Use for any development work - the master 13-step coding process that orchestrates all other skills, ensuring GitHub issue tracking, proper branching, TDD, code review, and CI verification
issue-prerequisite
Use before starting ANY work - hard gate ensuring a GitHub issue exists, creating one if needed through user questioning
issue-decomposition
Use when an issue is too large for a single task - breaks into linked sub-issues with full documentation, ensuring manageable work units
pre-work-research
Use before starting implementation - research repository documentation, codebase patterns, and external resources to inform the approach
type-design-analyzer
Use when asked to evaluate type design/invariants or explicitly asked to run the type-design-analyzer subagent.
inline-documentation
Use when writing code - ensure complete JSDoc, docstrings, and inline comments assuming documentation will be generated from code
local-service-testing
Use when code changes touch database, cache, queue, or other service-dependent components - enforces testing against real local services instead of mocks
strict-typing
Use when writing code in typed languages - enforces full typing with no any/unknown/untyped escapes, even if it requires extra time
style-guide-adherence
Use when writing code - follow Google style guides where available, otherwise follow established best practices for the language
verification-before-merge
Use before merging PR - final gate ensuring all tests pass, review complete, CI green, and acceptance criteria verified
work-intake
Entry point for ALL work requests - triages scope from trivial to massive, asks clarifying questions, and routes to appropriate planning skills. Use this when receiving any new work request.
worker-dispatch
Use to spawn isolated worker processes for autonomous issue work. Creates git worktrees, constructs worker prompts, and handles worker lifecycle.
worker-handover
Defines context handover format when workers hit turn limit. Posts structured handover to GitHub issue comments enabling replacement workers to continue seamlessly.
worker-protocol
Defines behavior protocol for spawned worker agents. Injected into worker prompts. Covers startup, progress reporting, exit conditions, and handover preparation.
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