Transaction & Consistency Safety
Protect data consistency across transactions, retries, distributed workflows, concurrency, partial success, and stale reads. This bundle repairs transaction scope, transactional outbox gaps, saga compensation, unknown API outcomes, duplicate writes, optimistic-lock contracts, partial batches, and read-replica consistency. Use it when local database correctness is not enough because failures cross commits, workers, services, retries, and concurrent updates.
Works with every agent that reads SKILL.md — Claude Code, Cursor, Codex CLI, Gemini CLI, GitHub Copilot, Windsurf, OpenClaw, and more.
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What's included
8 skillsRepair transaction boundaries, rollback behavior, nested transaction drift, and unsafe external side effects without widening database locks.
Repair systems that commit database changes but lose or duplicate the events that should follow.
Repair distributed workflows where failed later steps leave payments, orders, reservations, or resources inconsistently compensated.
Repair API calls that time out after possibly succeeding, leaving payments, orders, or provisioning in an unknown state.
Repair duplicate writes, oversold inventory, double charges, and other concurrency bugs in APIs.
Repair optimistic-concurrency drift in a repository using Cursor.
Repair bulk APIs, imports, and workers where one failed item hides successful work or triggers unsafe full retries.
Repair stale reads when apps write to a primary database but immediately read from lagging replicas.
See it in action
You say
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.
Your agent does
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.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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