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Found 738 Skills
Database schema and migration workflow. Use when modifying database schemas in tools/atlas/ or SQLC queries in tools/sqlc/.
Configure Spice.ai in-memory caching for SQL query results, search results, and embeddings. Use when setting up caching, tuning cache TTL/size/eviction, configuring stale-while-revalidate, custom cache keys, or cache-control headers.
Data analysis, SQL queries, BigQuery operations, and data insights. Use for data analysis tasks and queries.
Advanced SQL patterns including window functions, CTEs, recursive queries, and optimization techniques.
dbt Expert Engineer Skill - Comprehensive guide for dbt development best practices, command execution, and environment configuration Use when: - Running dbt commands (debug, compile, run, test, show) - Setting up Issue-specific targets in profiles.yml - Working with Databricks SQL dialect in dbt
Use this for exploratory data analysis (EDA), generating visualizations, finding trends, and deriving insights from datasets using Python (Pandas/Seaborn/Plotly) or SQL.
Learn how to supercharge your SQLite databases with full-text search capabilities using the built-in fts5 extension, enabling efficient and powerful querying with the `MATCH` keyword.
Fast Apple Mail search via SQLite on macOS. Search emails by subject, sender, date, attachments - results in ~50ms vs 8+ minutes with AppleScript. Use when asked to find, search, or list emails.
Smart database query skill. Connect to online databases via SSH tunnel, supporting natural language to SQL conversion, query execution, and table structure exploration. Use this skill when you need to query databases, ask about data, or view table structures.
Write, review, and adapt SQL for PolarDB-X 2.0 Distributed Edition (Enterprise Edition) in AUTO mode, properly handle differences between PolarDB-X and MySQL (such as partitioned tables, Global Secondary Index (GSI), Columnar Index (CCI), Sequence, distributed transactions, table groups, TTL tables, etc.). Suitable for scenarios where you need to generate SQL to run on PolarDB-X, migrate MySQL SQL to PolarDB-X, or debug PolarDB-X SQL compatibility issues.
Use when writing SQL queries, building analytics dashboards, tracking metrics, designing data pipelines, or analyzing user behavior and product usage
Salesforce Data Cloud Segment phase. TRIGGER when: user creates or publishes segments, manages calculated insights, inspects segment counts or membership, or troubleshoots audience SQL in Data Cloud. DO NOT TRIGGER when: the task is DMO/mapping/identity-resolution work (use sf-datacloud-harmonize), activation work (use sf-datacloud-act), query/search-index work (use sf-datacloud-retrieve), or STDM/session tracing (use sf-ai-agentforce-observability).