Loading...
Loading...
Found 91 Skills
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".
Based on the content of NSFC proposal text and combined with the application code recommendation library, provide you with 5 sets of recommended primary/secondary application codes (Code 1/Code 2) with justifications; output to NSFC-CODE-vYYYYMMDDHHmm.md (read-only, no modification to the proposal)
Notion: Query a database with filters and sorts.
GitHub: Read a file from a repository.
Read email via Apple Mail.app and AppleScript. Use when asked to check, search, or read emails. READ ONLY — no sending or modifying emails.
Query Gate Simple Earn (Uni) flexible. Use this skill whenever the user asks about Simple Earn, subscribe or redeem intent, position query, interest query, or top APY. Trigger phrases include "Simple Earn", "Uni", "subscribe", "redeem", "flexible earn", "positions", "interest", "top APY", or any request involving Simple Earn subscribe, redeem, positions, or interest.
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.