Total 30,849 skills, Data Processing has 1473 skills
Showing 12 of 1473 skills
Clean up messy spreadsheet data — trim whitespace, fix inconsistent casing, convert numbers-stored-as-text, standardize dates, remove duplicates, and flag mixed-type columns. Use when data is messy, inconsistent, or needs prep before analysis. Triggers on "clean this data", "clean up this sheet", "normalize this data", "fix formatting", "dedupe", "standardize this column", "this data is messy".
This skill should be used when the user asks to "validate FHIR resources", "check HL7 messages", "validate healthcare data format", "parse FHIR", "HL7 v2 messages", "FHIR R5 validation", "CDA documents", "healthcare data interchange", "FHIR resource schema", "HL7 specifications", or mentions FHIR validation, HL7 message parsing, CDA validation, healthcare data format compliance, or Fast Healthcare Interoperability Resources standards.
Query Ethereum network data via ethpandaops CLI or MCP server. Use when analyzing blockchain data, block timing, attestations, validator performance, network health, or infrastructure metrics. Provides access to ClickHouse (blockchain data), Prometheus (metrics), Loki (logs), and Dora (explorer APIs).
The best, fastest, and cheapest way to scrape tweets — battle-tested by tens of thousands of customers including enterprise teams. Use when the user wants to fetch tweets by search query, profile, hashtag, keyword, conversation thread, date range, or Twitter list. Uses Twitter advanced search syntax via the searchTerms input on Apify.
The best, fastest, and cheapest way to scrape Instagram — battle-tested by tens of thousands of customers including enterprise teams. Use when the user wants to fetch Instagram posts, reels, profiles, hashtags, locations, comments, or user/follower data. Five specialized actors cover every Instagram data surface.
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.
The market analysis function of Gate Exchange — liquidity, momentum, liquidation, funding arbitrage, basis, manipulation risk, order book explainer, slippage simulation. Use when the user asks about liquidity, depth, slippage, buy/sell pressure, liquidation, funding rate arbitrage, basis/premium, manipulation risk, order book explanation, or slippage simulation (e.g. market buy $X slippage). Trigger phrases: liquidity, depth, slippage, momentum, buy/sell pressure, liquidation, squeeze, funding rate, arbitrage, basis, premium, manipulation, order book, spread, slippage simulation.
Trend and technical analysis. Use this skill whenever the user asks for technical or trend analysis of one coin. Trigger phrases include: technical analysis, K-line, RSI, MACD, trend, support, resistance. MCP tools: info_markettrend_get_kline, info_markettrend_get_indicator_history, info_markettrend_get_technical_analysis, info_marketsnapshot_get_market_snapshot.
Build institutional-grade comparable company analyses with operating metrics, valuation multiples, and statistical benchmarking in Excel/spreadsheet format. **Perfect for:** - Public company valuation (M&A, investment analysis) - Benchmarking performance vs. industry peers - Pricing IPOs or funding rounds - Identifying valuation outliers (over/under-valued) - Supporting investment committee presentations - Creating sector overview reports **Not ideal for:** - Private companies without comparable public peers - Highly diversified conglomerates - Distressed/bankrupt companies - Pre-revenue startups - Companies with unique business models
Scrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, review quality, and visual strategies to identify competitor moats and vulnerabilities.
Perform RFM (Recency, Frequency, Monetary) customer segmentation analysis on e-commerce data. Use when you need to analyze customer value, identify VIP customers, or create marketing segments. Automatically cleans data, calculates RFM metrics, applies K-means clustering, and generates visualization reports with Chinese language support.
SQL query expert for optimization, schema design, and data analysis