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python-database

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Implement Python database access with parameterized SQL, transaction scope, connection helpers, and repository seams. Use when editing Postgres queries, repositories, transactions, pooling, or persistence boundaries in Python.

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How to use this skill

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  3. Review the proposed files and risks before you approve installation.
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Source SKILL.md: https://github.com/HoangNguyen0403/agent-skills-standard/blob/HEAD/skills/python/python-database/SKILL.md

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Python Database

Priority: P1 (HIGH)

Rules

  • Parameterize every query; never interpolate user or runtime data into SQL strings.
  • Keep connection and transaction ownership explicit.
  • Hide storage shape behind repository or query helpers when business logic depends on it.
  • Normalize JSON and null handling at the persistence boundary.

Recipe

  1. Open connections through one helper or pool abstraction.
  2. Use context managers for connection and transaction lifetime.
  3. Keep one business action in one transaction.
  4. Return typed rows or normalized dicts, not raw cursor tuples leaking everywhere.
  5. Test malformed/null metadata paths when patching JSON payloads.

Anti-Patterns

  • No f-string SQL.
  • No transaction split-brain across handler, service, and repo.
  • No unbounded connection churn in loops.
  • No DB truth hidden behind report formatting code.

References