Individual skill
find-hypertable-candidates
Use this skill to analyze an existing PostgreSQL database and identify which tables should be converted to Timescale/TimescaleDB hypertables. **Trigger when user asks to:** - Analyze database tables for hypertable conversion potential - Identify time-series or event tables in an existing schema - Evaluate if a table would benefit from Timescale/TimescaleDB - Audit PostgreSQL tables for migration to Timescale/TimescaleDB/TigerData - Score or rank tables for hypertable candidacy **Keywords:** hypertable candidate, table analysis, migration assessment, Timescale, TimescaleDB, time-series detection, insert-heavy tables, event logs, audit tables Provides SQL queries to analyze table statistics, index patterns, and query patterns. Includes scoring criteria (8+ points = good candidate) and pattern recognition for IoT, events, transactions, and sequential data.
skills/find-hypertable-candidates/SKILL.md
Source commit c39008a2773f75d63037e8eecf937456204786ba
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- Not checked yet
- Last checked
- Nov 7, 2026
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- 1,885
- Repository last updated
- Nov 8, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
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# PostgreSQL Hypertable Candidate Analysis
Identify tables that would benefit from TimescaleDB hypertable conversion. After identification, use the companion "migrate-postgres-tables-to-hypertables" skill for configuration and migration.
## TimescaleDB Benefits
**Performance gains:** 90%+ compression, fast time-based queries, improved insert performance, efficient aggregations, continuous aggregates for materialization (dashboards, reports, analytics), automatic data management (retention, compression).
**Best for insert-heavy patterns:**
- Time-series data (sensors, metrics, monitoring)
- Event logs (user events, audit trails, application logs)
- Transaction records (orders, payments, financial)
- Sequential data (auto-incrementing IDs with timestamps)