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    Repair Transaction Scope Drift

    1

    Repair transaction boundaries, rollback behavior, nested transaction drift, and unsafe external side effects without widening database locks.

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    Repair Transaction Scope Drift

    Repair Transaction Scope Drift

    Example session with this skill installed

    Our Java/Spring order service starts a @Transactional method before loading fraud configuration from another service, then writes Order and PaymentAttempt rows, calls the payment provider while the transaction is still open, publishes a Kafka event, and finally commits. We see long lock waits, and when the provider succeeds but the DB commit fails the customer can be charged without an order. Another retry sometimes repeats the provider call. Repair transaction scope in the repository using local fixtures. Do not touch production data, call the real payment provider, change live isolation settings, or decide which payment outcomes are commercially reversible.

    • Read your context and instructions
    • Compiled the repair transaction scope

    Transaction-scope drift found. The transaction starts before remote I/O, holds locks across a payment-provider call, publishes before commit, and retries across an uncertain external outcome. The repair narrows the DB transaction, persists durable intent, moves external work after commit, uses outbox/after-commit handoff, separates retry boundaries, and adds rollback tests. Payment business policy and production behavior remain unverified.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Transaction bugs often come from scope rather than SQL syntax. A request may open a transaction before remote I/O, hold locks while calling a provider, publish events before commit, swallow database errors inside an atomic block, or retry work whose commit outcome is uncertain.

    Repair Transaction Scope Drift gives an AI coding agent a repository workflow for reconstructing transaction ownership and failure timelines, shortening transaction lifetime, normalizing nested/savepoint behavior, separating remote side effects from database atomicity, using durable after-commit/outbox handoffs, and building deterministic rollback tests.

    It does not touch production data, change live isolation settings, call real providers, invent business atomicity, or pretend a database rollback can undo an external side effect.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Data & Databases.

    Repairs repository-level transaction ownership and failure behavior only. It cannot decide business atomicity, prove production deadlock rates, change database isolation, provide distributed transactions, or guarantee remote-provider idempotency without provider evidence.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

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    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

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    Permissions

    Terminal / Shell
    Read Files
    Write Files

    Run on a clean branch. Use local/disposable DB fixtures and fake providers only. Keep production DB credentials, payment secrets, customer records, API tokens, and private keys out of the workspace.

    Listed3 months ago
    Updated9 days ago

    What's inside

    Frequently Asked Questions

    It identifies architectural flaws where database transactions stay open too long, such as during remote API calls or before event publishing, and refactors them to use outbox patterns or after-commit hooks.

    This skill is compatible with any AI agent that has file-system access and supports major ORMs (like Prisma, SQLAlchemy, or ActiveRecord) and SQL dialects.

    You receive the core logic modules, a set of specialized workflow templates for transaction reconstruction, and a suite of deterministic rollback test generators.

    The skill focuses on code-level refactoring within your repository and does not require access to live database instances or production environment settings.

    Setup is as simple as importing the skill into your AI agent's library and providing a path to your backend service's database configuration and repository layer.

    Yes, it is designed to recognize and normalize nested transaction behaviors, including savepoints and atomic block inheritance, to prevent silent rollback failures.

    New in Data & Databases