SuperAPI AI Directory

postgresql-engineering

Data & analytics

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Updated 10-16 09:51

About this skill

PostgreSQL Engineering

Acknowledgement: Shared by Peter Bamuhigire, techguypeter.com, +256 784 464178.

Use this parent skill as the active PostgreSQL engineering entrypoint. Keep implementation guidance here short; load the relevant reference module only when the task needs that depth.

Use When

  • Designing PostgreSQL-backed features, schemas, indexes, constraints, and access paths.
  • Reviewing SQL correctness, transaction boundaries, isolation assumptions, or extension usage.
  • Implementing functions, triggers, views, materialized views, or server-side routines.
  • Consolidating PostgreSQL-specific engineering advice before pairing with database-design-engineering or database-reliability.

Do Not Use When

  • The task is unrelated to this parent skill or is better handled by a narrower active parent named in the workflow.
  • The request only needs a trivial answer and no reference module needs to be loaded.

Required Inputs

  • Gather the concrete system, repository, environment, constraints, and deliverable before loading references.
  • Identify which absorbed reference file is needed; do not load every migrated reference by default.

Workflow

  1. Start with database-design-engineering for logical model, integrity, tenancy, and migration shape.
  2. Load only the reference file matching the task:
    • references/postgresql-fundamentals.md for baseline PostgreSQL usage and core concepts.
    • references/postgresql-patterns.md for schema and application patterns.
    • references/postgresql-advanced-sql.md for advanced query design.
    • references/postgresql-server-programming.md for functions, triggers, and server-side behaviour.
  3. Pair with postgresql-operations for administration, performance incidents, tuning, backups, or production operations.
  4. Pair with postgresql-ai-platform only when pgvector or AI platform concerns are central.

Quality Standards

  • Preserve data integrity with constraints, types, and transaction design before relying on application checks.
  • Make query plans reviewable: expected indexes, cardinality assumptions, and failure cases must be explicit.
  • Treat migrations as reversible operational changes with lock, runtime, and rollback impact stated.

Anti-Patterns

  • Treating absorbed reference files as active skills or separate routing entrypoints.
  • Loading every migrated child reference instead of the one that matches the task.
  • Producing generic advice without constraints, evidence, or next verification steps.

Outputs

  • PostgreSQL schema, SQL, migration, or review notes with integrity and performance evidence.
  • Reference files loaded and companion skills used.

References

  • Load only the eferences/.md files named in the workflow when their depth is required.