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Found 156 Skills
Expert guidance for working with Dagster and the dg CLI. ALWAYS use before doing any task that requires knowledge specific to Dagster, or that references assets, materialization, or data pipelines. Common tasks may include creating a new project, adding new definitions, understanding the current project structure, answering general questions about the codebase (finding asset, schedule, sensor, component or job definitions), debugging issues, or providing deep information about a specific Dagster concept.
R statistical analysis for publication-ready sociology research. Guides you through phased workflows for DiD, IV, matching, panel methods, and more. Use when doing quantitative analysis in R for academic papers.
Fetches cryptocurrency market data, prices, technical analysis, news, and trends using the CoinMarketCap MCP. Use for ANY question involving cryptocurrencies, tokens, or blockchain markets, even if the user doesn't explicitly ask for data. This includes price checks, portfolio questions, market analysis, coin comparisons, holder metrics, technical indicators, and news. Trigger: "bitcoin", "ETH", "crypto", "token price", "market cap", "how is [coin] doing", "/cmc-mcp"
Interpret macroeconomic indicators including GDP, inflation, unemployment, interest rates, and exchange rates to assess economic health and predict trends. Use this skill when the user needs to evaluate a country's economic outlook, understand monetary/fiscal policy impacts, or contextualize business decisions within the macroeconomic environment — even if they say 'is the economy doing well', 'what do rising interest rates mean for us', or 'explain today's economic data'.
Produces a 30-day day-by-day recovery plan after an Amazon stockout. Aggressive PPC, external traffic, review velocity, A+ refresh, in the right sequence. A structured sequence recovers BSR far faster than doing nothing, which can leave a listing depressed for a quarter. Use when a user mentions stockout, ranking lost, BSR recovery, or post-stockout. Trigger phrases: "Amazon stockout recovery", "ranking lost after stockout", "BSR recovery", "post-stockout playbook". Works with zero tools.
Company research using Exa search. Finds company info, competitors, news, tweets, financials, LinkedIn profiles, builds company lists. Use when researching companies, doing competitor analysis, market research, or building company lists.
AI-powered deep research using Parallel AI APIs for chat, research reports, entity discovery, and data enrichment. Use this skill when doing web research, competitive analysis, market research, generating research reports, finding companies matching criteria, or enriching existing data. Triggers on research requests, competitive intelligence, finding companies, or data enrichment tasks.
Python design patterns for CLI scripts and utilities — type-first development, deep modules, complexity management, and red flags. Use when reading, writing, reviewing, or refactoring Python files, especially in .trellis/scripts/ or any CLI/scripting context. Also activate when planning module structure, deciding where to put new code, or doing code review.
Explain how claude-mem captures observations, when memory injection kicks in, and where data lives. Use when the user asks "how does claude-mem work?" or "what is this thing doing?".
Searches the live web via Nimble APIs to monitor competitors and produce a structured intelligence briefing. Runs parallel searches for news, product launches, hiring signals, and funding — then compares against previous findings to highlight only what's new. Use this skill when the user asks about competitors, competitive intelligence, or what rival companies are doing. Common triggers: "what are my competitors doing", "competitor update", "competitor news", "competitive landscape", "market intel", "what's new with [company]", "track [company]", "competitor briefing", "who's making moves", "competitive analysis", "losing deals to [company]", "battlecard". Also use before board meetings or strategy sessions when the user wants competitive context. Requires the Nimble CLI (nimble search, nimble extract) for live web data. Do NOT use for single-company deep dives (use company-deep-dive), meeting prep with attendees (use meeting-prep), or non-business queries.
Trace a file, function, or line back to the agent session that produced its current commit. Use when the user asks "why is this code here", "what was the agent doing when this changed", or wants context on a specific location in the codebase.
In-depth analysis of individual stocks. Use this skill when the user says "Analyze XX", "How is XX doing", "Is XX worth buying", "Research XX".