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Found 84 Skills
Build React TypeScript web applications using Docyrus as a backend. Use when creating or modifying apps that authenticate with Docyrus OAuth2, fetch/mutate data via the @docyrus/api-client library, use auto-generated collections for CRUD operations, or build queries with filters, aggregations, formulas, pivots, and child queries against Docyrus data sources. Triggers on tasks involving @docyrus/api-client, @docyrus/signin, Docyrus collections, data source queries, or Docyrus-backed React app development.
Query blockchain data across 40+ chains, create AI agents for crypto analytics, and build automated data pipelines. Use when working with blockchain data, crypto wallets, DeFi protocols, NFTs, token transfers, or on-chain analytics. Requires the Flipside CLI (https://docs.flipsidecrypto.xyz/get-started/cli).
Write and debug TypeQL queries for TypeDB 3.8+. Use when working with TypeDB schemas, data queries, insertions, deletions, or functions. Covers schema definition, CRUD operations, pattern matching, aggregations, and common pitfalls.
Query Ondo tokenized US stock data on Binance Web3. Covers: supported stock token list, RWA metadata (company info, attestation reports), market and per-asset trading status (with corporate action codes for earnings, dividends, splits), real-time on-chain data (token price, holders, circulating supply, market cap), US stock fundamentals (P/E, dividend yield, 52-week range), and token K-Line/candlestick charts. Use this skill when users ask about: - Tokenized stock price, holders, or on-chain data for specific tickers - Whether a stock token is tradable, paused, or halted - Ondo RWA token list or which US stocks are available on-chain - Corporate actions affecting a token (dividends, stock splits, earnings halt) - Stock token K-Line or candlestick chart data - Comparing on-chain token price vs US stock price NOT for general crypto tokens (BTC, ETH, SOL, etc.) — use query-token-info for those.
Riot 공식 LoL Esports 데이터와 Oracle's Elixir 스타일 historical 데이터로 LCK 경기 결과, 현재 순위, live turning point, 밴픽 matchup/synergy, patch meta, 팀 파워 레이팅을 조회한다.
Tiger Brokers OpenAPI Java SDK — complete skills for AI coding tools. Covers SDK setup, market data queries, stock/futures/options trading, real-time push subscriptions, account management, and strategy examples. Use when building Java trading applications, querying market data, placing orders, or integrating Tiger Brokers API. 老虎证券 OpenAPI Java SDK 完整技能集。涵盖 SDK 配置、行情查询、股票/期货/期权交易、实时推送订阅、账户管理、策略示例。适用于构建 Java 交易应用、查询行情数据、下单交易、或集成老虎 API。 用户提到以下关键词时自动使用 / Auto-activate on these keywords: 行情、报价、价格、K线、快照、买卖盘、深度、买入、卖出、下单、撤单、改单、交易、持仓、资金、账户、订单、委托、期权、期权链、到期日、期货、推送、订阅、选股、筛选、tigeropen、tiger API、Java SDK、quote、price、K-line、order、buy、sell、trade、position、asset、account、option、future、push、scanner
Real-time Hong Kong stock market query. Batch obtain real-time quotes of HKEX securities. Triggered when users ask about "Tencent real-time price", "Hong Kong stock real-time market", "HK quote", "HKEX current price".
NeoData Financial Search — A universal natural language financial data search service. Query full-category financial data such as stocks, funds, indices, sectors, macroeconomics, foreign exchange, and commodities using natural language, covering market quotes, financial statements, capital flows, research report ratings, event announcements, etc. It supports two recall modes: structured API data and financial articles, providing instant answers. Use when the user asks about financial data, stock quotes, financial statements, earnings reports, market data, fund info, macroeconomics, forex, commodities, or needs to query the NeoData API.
Enables Claude to create, manage, and query databases in Airtable via Playwright MCP
Explore and query any dataset annotated with a Frictionless Data Package descriptor (datapackage.json). Use this skill whenever a user wants to discover what tables or resources a dataset contains, look up column names and descriptions, surface usage warnings embedded in metadata, or understand how to load data from Parquet files, DuckDB or SQLite databases, or CSV files described by a datapackage.json. Also use when the user has a datapackage.json and wants to know what's in it, how to query it efficiently, or how to connect its metadata to actual data files. Pairs well with dataset-specific skills (like `pudl`) that layer domain knowledge on top.
Translates Splunk SPL queries to Axiom APL. Provides command mappings, function equivalents, and syntax transformations. Use when migrating from Splunk, converting SPL queries, or learning APL equivalents of SPL patterns.
Write and run AQL (Analytic Query Language) queries to answer data questions. Use this whenever the user asks for data, wants to query a dataset, needs to filter/aggregate/join data, or asks about metrics and dimensions in Holistics.