plugins/oracle-to-postgres-migration-expert/skills/planning-oracle-to-postgres-migration-integration-testing/SKILL.md
Creates an integration testing plan for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Analyzes a single project to identify repositories, DAOs, and service layers that interact with the database, then produces a structured testing plan. Use when planning integration test coverage for a migrated project, identifying which data access methods need tests, or preparing for Oracle-to-PostgreSQL migration validation.
npx skillsauth add github/awesome-copilot planning-oracle-to-postgres-migration-integration-testingInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Analyze a single target project to identify data access artifacts that require integration testing, then produce a structured, actionable testing plan.
Progress:
- [ ] Step 1: Identify data access artifacts
- [ ] Step 2: Classify testing priorities
- [ ] Step 3: Write the testing plan
Step 1: Identify data access artifacts
Scope to the target project only. Find classes and methods that interact directly with the database — repositories, DAOs, stored procedure callers, service layers performing CRUD operations.
Step 2: Classify testing priorities
Rank artifacts by migration risk. Prioritize methods that use Oracle-specific features (refcursors, TO_CHAR, implicit type coercion, NO_DATA_FOUND) over simple CRUD.
Step 3: Write the testing plan
Write a markdown plan covering:
Write the plan to: .github/oracle-to-postgres-migration/Reports/{TARGET_PROJECT} Integration Testing Plan.md
MyApp.Postgres), so each instance targets one database.tools
End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI. Covers all four build backends (setuptools+setuptools_scm, hatchling, flit, poetry), PEP 440 versioning, semantic versioning, dynamic git-tag versioning, OOP/SOLID design, type hints (PEP 484/526/544/561), Trusted Publishing (OIDC), and the full PyPA packaging flow. Use for: creating Python packages, pip-installable SDKs, CLI tools, framework plugins, pyproject.toml setup, py.typed, setuptools_scm, semver, mypy, pre-commit, GitHub Actions CI/CD, or PyPI publishing.
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