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Found 278 Skills
Calculate the deviation of asset prices relative to the long-term exponential growth trend line, assess whether the current period falls within a historical extreme range, and optionally perform macro factor analysis to evaluate the market regime.
Best practices for NumPy array programming, numerical computing, and performance optimization in Python
Under the assumption that the US dollar or a certain currency loses its reserve status and gold becomes the only anchor, deduce the 'implied gold price that the balance sheet can withstand' by dividing central bank monetary liabilities by gold reserves, and output the leverage level, gap and ranking of each country or currency.
Use this skill for AIRR-seq (Adaptive Immune Receptor Repertoire / VDJ-seq) data analysis with immunarch + immundata in R, including ingestion, receptor schema design, immutable transformations, clonality/diversity/public overlap metrics, and Seurat/AnnData integration.
Create efficient data pipelines with tf.data
Analyze, describe, read, or extract content from any screenshot, image, photo, picture, pic, snap, screen grab, or screen capture the user shares. Triggers when users ask about images ("what's in this", "what can you see", "what does this show", "what am I looking at", "tell me about this", "can you read this"), request review ("check this", "look at this", "review these", "analyze this"), request extraction ("extract text", "convert to markdown", "transcribe this", "parse this", "pull the data"), or describe attachments ("here's a screenshot", "I pasted this", "see attached"). Works with single or multiple images. Converts UI data into clean, structured markdown.
Human-written economic calendar event descriptions for a global calendar with XAUUSD relevance and impact rules. Use when writing or reviewing event descriptions or notes for economic calendar entries, ensuring concise non-robotic language and conditional XAUUSD impact guidance.
Extract structured data from Office documents (DOCX, PPTX, XLSX, HWP, HWPX) using the Polaris AI DataInsight Doc Extract API. Use when the user wants to parse, analyze, or extract text, tables, charts, images, or shapes from document files. Invoke this skill whenever the user mentions extracting content from Word, PowerPoint, Excel, HWP, or HWPX files, wants to parse document structure, needs to convert document data for RAG pipelines, or asks about reading tables, charts, or text from Office-format documents — even if they don't explicitly mention "DataInsight" or "Polaris".
Best practices for developing advanced, interactive, and publication-quality data visualizations using HoloViz HoloViews
Coin comprehensive analysis. Use this skill whenever the user asks to analyze a single coin. Trigger phrases include: analyze, how is, worth buying, look at. MCP tools: info_coin_get_coin_info, info_marketsnapshot_get_market_snapshot, info_markettrend_get_technical_analysis, news_feed_search_news, news_feed_get_social_sentiment.
Get verified emails and phones for contacts found by people-search. Takes LinkedIn profiles from the Extruct people table and enriches them via contact enrichment providers like Prospeo or Fullenrich. Supports single-provider and waterfall modes. Outputs a contact CSV ready for email-generation. Triggers on: "get emails", "find emails", "enrich contacts", "email finder", "get phone numbers", "enrich people", "contact enrichment", "verify emails", "email enrichment".
Generate a post-earnings analysis for any stock using Yahoo Finance data. Use when the user wants to review what happened after earnings, understand beat/miss results, see stock reaction, or get an earnings recap. Triggers: "AAPL earnings recap", "how did TSLA earnings go", "MSFT earnings results", "did NVDA beat earnings", "post-earnings analysis", "earnings surprise", "what happened with GOOGL earnings", "earnings reaction", "stock moved after earnings", "EPS beat or miss", "revenue beat or miss", "quarterly results for", "how were earnings", "AMZN reported last night", "earnings call recap", or any request about a company's recent earnings outcome. Use this skill when the user references a past earnings event, even if they just say "AAPL reported" or "how did they do".