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Found 63 Skills
Regression Analysis Helper - Auto-activating skill for Data Analytics. Triggers on: regression analysis helper, regression analysis helper Part of the Data Analytics skill category.
Quick data freshness check. Use when the user asks if data is up to date, when a table was last updated, if data is stale, or needs to verify data currency before using it.
Query Logfire telemetry data — traces, logs, spans, and metrics. Use this skill when the user asks to "query logfire", "search traces", "find logs", "query data", "search spans", "look up errors in logfire", "get metrics from logfire", "analyze telemetry", or wants to add Logfire querying capabilities to their code. Also use when the user wants to explore OpenTelemetry data, investigate production issues by querying, or build dashboards/reports from Logfire data.
ClickHouse queries, Goose migrations, chdb test schema, Weaviate collections/migrations, or telemetry storage paths.
BigQuery Expert Engineer Skill - Comprehensive guide for GoogleSQL queries, data management, performance optimization, and cost management Use when: - Running bq commands (query, load, extract) - Writing GoogleSQL queries (functions, JOINs, CTEs) - Designing partitioned/clustered tables - Using BigQuery ML or external data sources
Diagnose ClickHouse merge performance, part backlog, and 'too many parts' errors. Use for merge issues and part management problems.
SQL database queries, joins, aggregations, subqueries, and optimization. Use for .sql files and database operations.
Deep-dive data profiling for a specific table. Use when the user asks to profile a table, wants statistics about a dataset, asks about data quality, or needs to understand a table's structure and content. Requires a table name.
PostgreSQL 16 database documentation. Use for SQL queries, indexes, transactions, JSON operations, full-text search, and performance tuning.
Create and manage Kibana Dashboards and Lens visualizations. Use when you need to define dashboards and visualizations declaratively, version control them, or automate their deployment.
Expert-level PostgreSQL database administration, advanced queries, performance tuning, and production operations
Execute ES|QL (Elasticsearch Query Language) queries, use when the user wants to query Elasticsearch data, analyze logs, aggregate metrics, explore data, or create charts and dashboards from ES|QL results.