Total 54,373 skills, Data Processing has 2785 skills
Showing 12 of 2785 skills
Implement and extend PostHog Data warehouse import sources. Use when adding a new source under posthog/temporal/data_imports/sources, adding datasets/endpoints to an existing source, or adding incremental sync support, pagination, credentials validation, and source tests.
Alpha scouting workflow using Messari x402. Scans mindshare gainers, trending topics, and news to surface emerging narratives and high-momentum assets. Total cost ~$1.25 USDC per run.
Build Airflow 3.1+ plugins that embed FastAPI apps, custom UI pages, React components, middleware, macros, and operator links directly into the Airflow UI. Use this skill whenever the user wants to create an Airflow plugin, add a custom UI page or nav entry to Airflow, build FastAPI-backed endpoints inside Airflow, serve static assets from a plugin, embed a React app in the Airflow UI, add middleware to the Airflow API server, create custom operator extra links, or call the Airflow REST API from inside a plugin. Also trigger when the user mentions AirflowPlugin, fastapi_apps, external_views, react_apps, plugin registration, or embedding a web app in Airflow 3.1+. If someone is building anything custom inside Airflow 3.1+ that involves Python and a browser-facing interface, this skill almost certainly applies.
Generate a one-page Market Posture summary with net exposure ceiling, growth-vs-value bias, participation breadth, and new-entry-allowed vs cash-priority recommendation by integrating signals from breadth, regime, and flow analysis skills.
Global Comprehensive Stock Analysis Tool. Supports all markets covered by Eastmoney, including A-shares, Hong Kong stocks, US stocks, etc. Based on the stock name or code entered by users, it obtains stock information from Eastmoney.com, conducts three-dimensional analysis of fundamentals, news, and capital flows, and provides investment suggestions, buy prices and sell prices. Trigger keywords: analyze stocks, stock recommendations, stock entry and exit points, stock research, A-share analysis, Hong Kong stock analysis, US stock analysis, Chinese concept stocks, Hang Seng Index, Nasdaq, S&P 500, Dow Jones, Tencent, Alibaba, Apple AAPL, Tesla TSLA, NVIDIA NVDA, Micron MU, etc.
ByteHouse Slow Query Analysis and Performance Optimization Tool, used to identify and analyze slow queries, provide query performance optimization suggestions, view query execution plans, and analyze query historical trends. Use this Skill when you need to identify and analyze slow queries in ByteHouse database, get query performance optimization suggestions, view query execution plans, or analyze query historical trends.
Search PubMed for meta-analyses on a given medical topic using NCBI E-utilities API
Guide for querying DeFi yield and APY data using get_yield_pools. Covers pool filtering by token, chain, protocol, category, stablecoin-only mode, and capacity assessment. Explains APY conventions, lending vs borrowing rates, and sort options. Use when users ask about yields, APY, lending rates, borrowing costs, best pools, or DeFi yield strategies.
ClickHouse cluster migration planner. Use when planning data migration between ClickHouse clusters, including cross-cluster migrations, horizontal scaling, disk downgrade, availability zone changes, or migrating from self-built/non-Alibaba Cloud ClickHouse to Alibaba Cloud ClickHouse (Community or Enterprise Edition). Helps analyze migration conditions, select appropriate migration methods, and generate detailed migration plans.
Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.
SQL query patterns, schema design, and optimization. Joins, CTEs, window functions, indexing, and anti-patterns. Use when writing SQL queries, designing schemas, optimizing database performance, or reviewing database code.
Exécute des requêtes SQL en lecture seule sur plusieurs bases de données PostgreSQL. À utiliser pour : (1) interroger des bases PostgreSQL, (2) explorer les schémas/tables, (3) exécuter des requêtes SELECT pour l'analyse de données, (4) vérifier le contenu des bases. Supporte plusieurs connexions avec descriptions pour une sélection automatique intelligente. Bloque toutes les opérations d'écriture (INSERT, UPDATE, DELETE, DROP, etc.) par sécurité.