Identifies Oracle-to-PostgreSQL migration risks by cross-referencing code against known behavioral differences (empty strings, refcursors, type coercion, sorting, timestamps, concurrent transactions, etc.). Use when planning migration of a procedure, trigger, query, or refcursor client, and again to validate the finished port.
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Attribution: Sourced from github/awesome-copilot by GitHub Community, licensed MIT. Modified for this collection.
Surfaces migration risks and validates migration work against known Oracle/PostgreSQL behavioral differences documented in the references/ folder.
Determine the task type:
Planning a migration? Follow the risk assessment workflow. Validating completed work? Follow the validation workflow.
Risk Assessment:
- [ ] Step 1: Identify the migration scope
- [ ] Step 2: Screen each insight for applicability
- [ ] Step 3: Document risks and recommended actions
Step 1: Identify the migration scope
List the affected database objects (procedures, triggers, queries, views) and the application code that calls them.
Step 2: Screen each insight for applicability
Review the reference index in references/REFERENCE.md. For each entry, determine whether the migration scope contains patterns affected by that insight. Read the full reference file only when the insight is potentially relevant.
Step 3: Document risks and recommended actions
For each applicable insight, note the specific risk and the recommended fix pattern from the reference file. Flag any insight that requires a design decision (e.g., whether to preserve Oracle empty-string-as-NULL semantics or adopt PostgreSQL behavior).
Validation:
- [ ] Step 1: Map the migration artifact
- [ ] Step 2: Cross-check applicable insights
- [ ] Step 3: Verify integration test coverage
- [ ] Step 4: Gate the result
Step 1: Map the migration artifact
Identify the migrated object and summarize the change set.
Step 2: Cross-check applicable insights
For each reference in references/REFERENCE.md, confirm the behavior or test requirement is acknowledged and addressed in the migration work.
Step 3: Verify integration test coverage
Confirm tests exercise both the happy path and the failure scenarios highlighted in applicable insights (exceptions, sorting, refcursor consumption, concurrent transactions, timestamps, etc.).
Step 4: Gate the result
Return a checklist asserting each applicable insight was addressed, migration scripts run, and integration tests pass.
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概要と使いどころ
Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。
Adds educational comments to a code file so it becomes a learning resource, asking for the file (with a list of close matches) if none is given. Use when preparing code for learners, onboarding, or teaching.
日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。