Total 50,473 skills, Data Processing has 2559 skills
Showing 12 of 2559 skills
Analyze Taiwan-listed stocks using fundamental analysis including EPS, P/E ratio, dividend yield, and financial statement review. Use this skill when the user needs to evaluate a Taiwan stock, compare TWSE/TPEx-listed companies, assess valuation, or review earnings — even if they say 'should I buy this stock', 'analyze 台積電', 'is this stock overvalued', or 'compare these two Taiwan companies'.
Summarize and analyze earnings calls (法說會) including financial highlights, management commentary, guidance, and analyst Q&A key takeaways. Use this skill when the user needs to digest an earnings call transcript, extract key financial data and forward guidance, compare actual results vs consensus estimates, or prepare for an investor meeting — even if they say 'summarize this earnings call', 'what did management say about next quarter', 'did they beat estimates', or 'key takeaways from the 法說會'.
Toucan Toco integration. Manage data, records, and automate workflows. Use when the user wants to interact with Toucan Toco data.
When the user wants to cut 1D materials optimally, minimize waste in linear cutting, or solve one-dimensional cutting stock problems. Also use when the user mentions "1D cutting," "linear cutting optimization," "rod cutting," "pipe cutting," "beam cutting," "trim loss," "cutting stock problem," "pattern generation," or "column generation for cutting." For 2D problems, see 2d-cutting-stock. For general trim loss, see trim-loss-minimization.
Export trade history and tax calculations in formats compatible with Koinly, CoinTracker, CoinLedger, TokenTax, and IRS Form 8949
Professional trading charts including candlesticks, equity curves, drawdowns, correlation heatmaps, and return distributions
Execute read-only SQL queries against Databricks. Use when you need to run a specific SQL query, aggregate data, join tables, or answer analytical questions about Databricks data.
港股K线数据查询。获取日线、周线、月线行情。 当用户询问"腾讯日K""港股K线""港交所周线""恒指月线"时触发。
Outscraper integration. Manage Organizations. Use when the user wants to interact with Outscraper data.
Use this skill whenever working with QuestDB — a high-performance time-series database. Trigger on any mention of QuestDB, time-series SQL with SAMPLE BY, LATEST ON, ASOF JOIN, ILP ingestion, or the questdb Python/Go/Java/Rust/.NET client libraries. Also trigger when writing Grafana queries against QuestDB, creating materialized views for time-series rollups, working with order book or financial market data in QuestDB, or any SQL that involves designated timestamps or time-partitioned tables. QuestDB extends SQL with unique time-series keywords — standard PostgreSQL or MySQL patterns will fail. Always read this skill before writing QuestDB SQL to avoid hallucinating incorrect syntax.
Use Dune MCP through UXC for blockchain table discovery, SQL query creation/execution, execution result retrieval, and visualization with help-first schema inspection, explicit auth binding, and guarded credit-consuming operations.
Local execution tools for X/Twitter hosted collection workflows, including actor runs, dataset normalization, tweet ranking, account ranking, audience graph construction, and language clustering.