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Found 41 Skills
通过专利ID或公开号从智慧芽专利数据库获取专利说明书（描述）数据。当用户提到专利说明书、专利全文、专利技术描述、专利实施方式详情、智慧芽说明书数据、patent specification, patent full text, technical description, embodiment details, PatSnap, patent detailed description时触发此技能。即使用户未明确说"智慧芽"，只要其需要查看一项或多项专利的完整说明书/描述内容，也应触发此技能。
Tongdaxin Quantitative Data Retrieval Skill. Use this skill when users mention tdxquant, Tongdaxin, TdxQuant, tqcenter, and need to obtain A-share market data (market snapshot, K-line, financial data, sector data, convertible bonds, new stocks, trading data, etc.), query trading calendars, execute Tongdaxin formulas, subscribe to market quotes, or place trading orders.
Use xAI's Grok model with agentic tool calling for X (Twitter) search, web search, code execution, and real-time data access. Invoke when user needs Twitter/X insights, current events, alternative perspectives, or complex multi-step research.
This skill should be used when the user wants to integrate Plaid API for bank account connections and transaction syncing. Use when implementing financial data access, bank linking, or transaction imports in TypeScript/Bun applications.
Creates repository following Clean Architecture with Protocol in domain layer and Implementation in infrastructure layer. Use when adding new data access layer, creating database interaction, implementing persistence, or need to store/retrieve domain models. Enforces Protocol/ABC pattern with ServiceResult, ManagedResource lifecycle, and proper layer separation. Triggers on "create repository for X", "implement data access for Y", "add persistence layer", or "store/retrieve domain model".
Use this skill when you need to work with pubmed through its generated async Python app, call its MCP-backed functions from code, or inspect available functions with the mcp-skill CLI.
High-level entry skill for Domo data access. Routes detailed query work to cap-apps-dataset-query.
Generates optimized read queries using Dapper. Includes multi-mapping for joins, pagination, dynamic filtering, CTEs, and best practices for high-performance data access.
Search and analyze cryo-EM maps, single particle structures, tomography datasets, and raw micrograph data from EMDB, EMPIAR, and CryoET Data Portal. Cross-reference with PDB structures and AlphaFold predictions. Use for cryo-EM map discovery, structure fitting analysis, raw data access, and tomography exploration.
Access Airtable bases, tables, and records. Use when user mentions Airtable, bases, tables, records, or spreadsheet data. Uses Python pyairtable library for clean, reliable access.
Provides comprehensive guidance for Spring Data JPA including repositories, entity management, query methods, and database operations. Use when the user asks about Spring Data JPA, needs to work with JPA repositories, implement data access layers, or configure JPA in Spring.
Execute read-only T-SQL queries against Fabric Data Warehouse, Lakehouse SQL Endpoints, and Mirrored Databases via CLI. Default skill for any lakehouse data query (row counts, SELECT, filtering, aggregation) unless the user explicitly requests PySpark or Spark DataFrames. Use when the user wants to: (1) query warehouse/lakehouse data, (2) count rows or explore lakehouse tables, (3) discover schemas/columns, (4) generate T-SQL scripts, (5) monitor SQL performance, (6) export results to CSV/JSON. Triggers: "warehouse", "SQL query", "T-SQL", "query warehouse", "show warehouse tables", "show lakehouse tables", "query lakehouse", "lakehouse table", "how many rows", "count rows", "SQL endpoint", "describe warehouse schema", "generate T-SQL script", "warehouse performance", "export SQL data", "connect to warehouse", "lakehouse data", "explore lakehouse".