Total 52,935 skills, Data Processing has 2646 skills
Showing 12 of 2646 skills
Python toolkit for computational biology. Use when asked to "parse FASTA", "read GenBank", "query NCBI", "run BLAST", "analyze protein structure", "build phylogenetic tree", or work with biological sequences. Handles sequence I/O, database access, alignments, structure analysis, and phylogenetics.
Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.
Smart money tracking — netflow, trades, holdings, perp trades. Use when finding what smart money wallets are buying/selling or tracking whale activity.
Use this skill when preparing P&L statements, balance sheets, cash flow reports, board decks, or KPI dashboards. Triggers on financial statements, P&L, balance sheet, cash flow statement, board reporting, KPI dashboards, investor reporting, and any task requiring financial report preparation or presentation.
High-level entry skill for Domo data access. Routes detailed query work to cap-apps-dataset-query.
Query real-time macroeconomic data including GDP, unemployment, inflation (CPI, PCE), interest rates, housing data, and consumer sentiment. Use this skill whenever the user asks about macroeconomic conditions, economic indicators, the Fed, interest rates, inflation, employment, labor market, housing market, yield curve, or any broad economic data point.
基于ByteHouse MCP Server，生成数据资产目录和血缘分析的技能，用于获取数据库表结构、生成数据资产目录、分析表之间的血缘关系。当用户需要获取ByteHouse数据库的表结构、生成数据资产目录、分析表之间的血缘关系时，使用此Skill。
Fetch structured stock sentiment across Reddit, X.com, news, and Polymarket using the Adanos Finance API. Use this skill whenever the user asks how much people are talking about a stock, how hot a ticker is on social platforms, how many Polymarket bets exist for a company, whether sources are aligned, or to compare stock sentiment across multiple tickers. Triggers include: "social sentiment on TSLA", "how hot is NVDA on X.com", "how many Reddit mentions does AAPL have", "compare sentiment on AMD vs NVDA", "how many Polymarket bets on Microsoft", "is Reddit aligned with X on META", "stock buzz", "bullish percentage", and any mention of cross-source stock sentiment research. This skill is READ-ONLY and does not place trades or modify anything.
Terminus App integration. Manage data, records, and automate workflows. Use when the user wants to interact with Terminus App data.
Fast DataFrame library (Apache Arrow). Select, filter, group_by, joins, lazy evaluation, CSV/Parquet I/O, expression API, for high-performance data analysis workflows.
Phylogenetic tree toolkit (ETE). Tree manipulation (Newick/NHX), evolutionary event detection, orthology/paralogy, NCBI taxonomy, visualization (PDF/SVG), for phylogenomics.
Analyze sleep data, identify sleep patterns, evaluate sleep quality, and provide personalized sleep improvement recommendations. Supports correlation analysis with other health data.