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Found 1,084 Skills
Type-safe SQL query building with Kysely for PostgreSQL. Covers query patterns, ExpressionBuilder, JSONB/arrays, migrations, and common pitfalls. Use when writing Kysely queries, creating migrations, debugging type issues, or working with a Kysely codebase.
Activate when the user asks Claude to talk like a caveman, use caveman mode, say "less tokens please", or invoke "/elastic-caveman". Also activate when the user wants faster, terser responses while still working with Elasticsearch, Kibana, Elastic Security, Elastic Observability, or any part of the Elastic stack. In caveman mode all Elasticsearch-specific technical terms, API names, field names, index patterns, query DSL structures, ESQL syntax, and error messages are preserved verbatim — only filler words and pleasantries are removed. Stop caveman mode when the user says "stop caveman" or "normal mode".
Use this skill when you need to execute SQL against the MoviePilot database. This skill guides you through connecting to the database and executing SQL statements. The database type (SQLite or PostgreSQL) and connection details are provided in the system prompt <system_info>. Applicable scenarios include: 1) The user asks about data statistics, counts, or aggregations that existing tools don't cover; 2) The user wants to inspect, modify, or fix raw database records; 3) The user asks to clean up data, update records, or perform database maintenance; 4) The user asks questions like "how many downloads", "show me site stats", "delete old records", etc.
Select and use PyGraphistry connector and plugin workflows for graph databases, SQL/data platforms, SIEM/log sources, and layout/compute plugins. Use when requests involve Neo4j/Neptune/Splunk/Kusto/Databricks/SQL/TigerGraph and similar integrations.
Generate reproducible analysis artifacts — SQL queries, Python visualizations, and summary tables — as you work through a BigQuery data analysis. Use when asked to conduct a deep dive, exploratory analysis, or investigation that goes beyond a simple data lookup.
Printing Press CLI for eBay. Discovery and intelligence: sold-comp pricing (average sale price over 90 days with outlier trim), auctions filtered by bid count and ending window (the query the eBay site can no longer answer), watchlists, saved searches, and a local SQLite store for cross-listing analytics. Trigger phrases: 'comp this card', 'find ebay auctions ending soon', 'what did this sell for', 'find listings under $X for ...'. Bid placement (bid, snipe, bid-group) is experimental and currently fails because eBay step-ups auth on /bfl/placebid -- direct the user to bid in the browser.
Build end-to-end ETL pipelines and analytics dashboards using Harvard Art Museums API data with Python, SQL, and Streamlit
End-to-end data engineering pipeline for Harvard Art Museums API with ETL, SQL analytics, and Streamlit visualization
End-to-end data engineering pipeline with Harvard Art Museums API, ETL processing, SQL analytics, and Streamlit visualization
Write and query high-cardinality event data at scale with SQL. Load when tracking user events, billing metrics, per-tenant analytics, A/B testing, API usage, or custom telemetry. Use writeDataPoint for non-blocking writes and SQL API for aggregations.
Systematically diagnoses and resolves common GKE issues including pod failures, networking problems, database connection errors, and Pub/Sub issues. Use when pods are stuck in Pending, CrashLoopBackOff, ImagePullBackOff, experiencing DNS failures, Cloud SQL connection timeouts, or Pub/Sub message processing problems. Provides systematic debugging workflows and solution patterns for Spring Boot applications.
PostgreSQL database management. Run queries, manage schemas, and monitor performance.