Install
$ agentstack add skill-timescale-pg-aiguide-postgres ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
PostgreSQL Expert Skills
This skill provides comprehensive PostgreSQL expertise through specialized references. Load the appropriate reference based on the task.
Available References
Table Design
- [design-postgres-tables](references/design-postgres-tables.md) — Data types, constraints, indexes, JSONB patterns, partitioning, and PostgreSQL best practices. Use for any general table/schema design task.
- [design-postgis-tables](references/design-postgis-tables.md) — PostGIS spatial table design: geometry vs geography types, SRIDs, spatial indexing, and location-based query patterns. Use when the task involves geographic or spatial data.
Search
- [pgvector-semantic-search](references/pgvector-semantic-search.md) — Vector similarity search with pgvector: HNSW/IVFFlat indexes, halfvec storage, quantization, filtered search, and tuning. Use for embeddings, RAG, or semantic search.
- [postgres-hybrid-text-search](references/postgres-hybrid-text-search.md) — Hybrid search combining BM25 keyword search with pgvector semantic search using RRF. Use when combining keyword and meaning-based search.
TimescaleDB
- [setup-timescaledb-hypertables](references/setup-timescaledb-hypertables.md) — Hypertable creation, compression, retention policies, continuous aggregates, and indexes. Use when setting up TimescaleDB from scratch.
- [find-hypertable-candidates](references/find-hypertable-candidates.md) — SQL queries to analyze existing tables and score them for hypertable conversion. Use when evaluating which tables to migrate.
- [migrate-postgres-tables-to-hypertables](references/migrate-postgres-tables-to-hypertables.md) — Step-by-step migration: partition column selection, in-place vs blue-green, validation. Use when executing a migration.
Migrations
- [postgres-database-migration](references/postgres-database-migration.md) — DDL lock reference, safe migration patterns, timeout strategies, rollback planning, and fork-based testing. Use when planning or executing schema changes on production databases.
Database Management
- [ghost-database](references/ghost-database.md) — Ghost is a managed PostgreSQL service designed for AI agents. Create, fork, pause, resume, and query databases via CLI or MCP. Use when the user needs a database for agent workflows or wants to fork for safe experimentation.
How to Use
- Identify which reference matches the user's task from the descriptions above.
- Load the reference file to get detailed instructions and SQL patterns.
- For tasks spanning multiple areas (e.g., "design a table with vector search"), load multiple references as needed.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: timescale
- Source: timescale/pg-aiguide
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.