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Found 739 Skills
Query onchain data on Base using the CDP SQL API via x402. Use when you or your user want to view onchain information about decoded blocks, transactions, and event.
MUST USE when installing chv, setting up local ClickHouse development, or running ClickHouse locally. Contains 5 guides covering chv CLI installation, local project initialization, running a local server, executing SQL from files, and migrating to cloud. Always read relevant guide files and cite them in responses.
Use this skill when the user uploads Excel (.xlsx/.xls) or CSV files and wants to perform data analysis, generate statistics, create summaries, pivot tables, SQL queries, or any form of structured data exploration. Supports multi-sheet Excel workbooks, aggregation, filtering, joins, and exporting results to CSV/JSON/Markdown.
Design database schemas for Grey Haven multi-tenant SaaS - SQLModel models, Drizzle schema, multi-tenant isolation with tenant_id and RLS, timestamp fields, foreign keys, indexes, migrations, and relationships. Use when creating database tables.
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.