scaffolding-oracle-to-postgres-migration-test-project作成者: github

Scaffolds an xUnit integration test project for validating Oracle-to-PostgreSQL database migration behavior in .NET solutions. Creates the test project,…

npx skills add https://github.com/github/awesome-copilot --skill scaffolding-oracle-to-postgres-migration-test-project

Scaffolding an Integration Test Project for Oracle-to-PostgreSQL Migration

Creates a compilable, empty xUnit test project with transaction management and seed data infrastructure for a single target project. Run once per project before writing tests.

Workflow

Progress:
- [ ] Step 1: Inspect the target project
- [ ] Step 2: Create the xUnit test project
- [ ] Step 3: Implement transaction-rollback base class
- [ ] Step 4: Implement seed data manager
- [ ] Step 5: Verify the project compiles

Step 1: Inspect the target project

Read the target project's .csproj to determine the .NET version and existing package references. Match these versions exactly — do not upgrade.

Step 2: Create the xUnit test project

  • Target the same .NET version as the application under test.
  • Add NuGet packages for Oracle database connectivity and xUnit.
  • Add a project reference to the target project only — no other application projects.
  • Add an appsettings.json configured for Oracle database connectivity.

Step 3: Implement transaction-rollback base class

  • Create a base test class that opens a transaction before each test and rolls it back after.
  • Catch and handle all exceptions to guarantee rollback.
  • Make the pattern inheritable by all downstream test classes.

Step 4: Implement seed data manager

  • Create a global seed manager for loading test data within the transaction scope.
  • Do not commit seed data — transactions roll back after each test.
  • Do not use TRUNCATE TABLE — preserve existing database data.
  • Reuse existing seed files if available.
  • Establish a naming convention for seed file location that downstream test creation will follow.

Step 5: Verify the project compiles

Build the test project and confirm it compiles with zero errors before finishing.

Key Constraints

  • Oracle is the golden behavior source — scaffold for Oracle first.
  • Keep to existing .NET and C# versions; do not introduce newer language or runtime features.
  • Output is an empty test project with infrastructure only — no test cases.

githubのその他のスキル

console-rendering
by github
Instructions for using the struct tag-based console rendering system in Go
acquire-codebase-knowledge
by github
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document…
acreadiness-assess
by github
Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc…
acreadiness-generate-instructions
by github
Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS…
acreadiness-policy
by github
Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting…
add-educational-comments
by github
Add educational comments to code files to transform them into effective learning resources. Adapts explanation depth and tone to three configurable knowledge levels: beginner, intermediate, and advanced Automatically requests a file if none is provided, with numbered list matching for quick selection Expands files by up to 125% using educational comments only (hard limit: 400 new lines; 300 for files over 1,000 lines) Preserves file encoding, indentation style, syntax correctness, and...
adobe-illustrator-scripting
by github
Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate…
agent-governance
by github
Declarative policies, intent classification, and audit trails for controlling AI agent tool access and behavior. Composable governance policies define allowed/blocked tools, content filters, rate limits, and approval requirements — stored as configuration, not code Semantic intent classification detects dangerous prompts (data exfiltration, privilege escalation, prompt injection) before tool execution using pattern-based signals Tool-level governance decorator enforces policies at function...

NotebookLM Webインポーター

ワンクリックでWebページとYouTube動画をNotebookLMにインポート。200,000人以上のユーザーが利用中。

Chrome拡張機能をインストール