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Claude Skills by timescale
github.com/timescale10 skills6 installs240 views
- Design Postgres TablesComprehensive PostgreSQL-specific table design reference covering data types, indexing, constraints, performance patterns, and advanced featuresVotes: 0GitHub stars: 1,847
- Find Hypertable CandidatesIdentify tables that would benefit from TimescaleDB hypertable conversion. After identification, use the companion "migrate-postgres-tables-to-hypertables" skill for configuration and migration.Votes: 0GitHub stars: 1,847
- Migrate Postgres Tables To HypertablesMigrate identified PostgreSQL tables to TimescaleDB hypertables with optimal configuration, migration planning and validation. **Prerequisites**: Tables already identified as hypertable candidates (use companion "find-hypertable-candidates" skill if needed).Votes: 0GitHub stars: 1,847
- Setup Timescaledb HypertablesInstructions for insert-heavy data patterns where data is inserted but rarely changed: - **Time-series data** (sensors, metrics, system monitoring) - **Event logs** (user events, audit trails, application logs) - **Transaction records** (orders, payments, financial transactions) - **Sequential data** (records with auto-incrementing IDs and timestamps) - **Append-only datasets** (immutable records, historical data)Votes: 0GitHub stars: 1,847
- Pgvector Semantic SearchUse this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. **Trigger when user asks to:** - Store or search vector embeddings in PostgreSQL - Set up semantic search, similarity search, or nearest neighbor search - Create HNSW or IVFFlat indexes for vectors - Implement RAG (Retrieval Augmented Generation) with PostgreSQL - Optimize pgvector performance, recall, or memory usage - Use binary quantization for large vector data...Votes: 0GitHub stars: 1,847
- Postgres Hybrid Text SearchUse this skill to implement hybrid search combining BM25 keyword search with semantic vector search using Reciprocal Rank Fusion (RRF). **Trigger when user asks to:** - Combine keyword and semantic search - Implement hybrid search or multi-modal retrieval - Use BM25/pg_textsearch with pgvector together - Implement RRF (Reciprocal Rank Fusion) for search - Build search that handles both exact terms and meaning **Keywords:** hybrid search, BM25, pg_textsearch, RRF, reciprocal rank fusion, ke...Votes: 0GitHub stars: 1,847
- Design Postgis TablesComprehensive PostGIS spatial table design reference covering geometry types, coordinate systems, spatial indexing, and performance patterns for location-based applicationsVotes: 0GitHub stars: 1,847
- PostgresUse this skill for any PostgreSQL database work — table design, indexing, data types, constraints, extensions (pgvector, PostGIS, TimescaleDB), search, and migrations. **Trigger when user asks to:** - Explore an existing PostgreSQL database to understand its objects and relationships - Design or modify PostgreSQL tables, schemas, or data models - Choose data types, constraints, indexes, or partitioning strategies - Work with pgvector embeddings, semantic search, or RAG - Set up full-text sea...Votes: 0GitHub stars: 1,847
- Postgres Database MigrationUse this skill for planning, testing, and safely executing PostgreSQL schema migrations — especially when working with production data or shared databases. **Trigger when user asks to:** - Test a schema migration before applying it to production - Add, remove, or rename columns safely on a live table - Change a column's data type without downtime - Add or drop indexes, constraints, or foreign keys on large tables - Understand which ALTER TABLE operations lock the table - Roll back a failed m...Votes: 0GitHub stars: 1,847
- Schema ExplorationExplore an existing PostgreSQL database before answering questions about its data or writing SQL. Use this skill whenever a user asks for a query or a data-backed answer against an unfamiliar schema (counts, missing or failed records, recent changes), asks where a business concept lives, or asks how tables, joins, views, routines, triggers, RLS, or extensions work. Find the relevant objects with read-only pg_catalog queries, then request approval before inspecting data-derived statistics or r...Votes: 0GitHub stars: 1,847