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    Repair Event Deduplication TTL Bugs

    1

    Repair event-deduplication bugs where TTLs expire before valid retries, IDs collide across producers, crashes lose dedupe state, or duplicates create repeated side effects.

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    Repair Event Deduplication TTL Bugs

    Repair Event Deduplication TTL Bugs

    Example session with this skill installed

    A webhook consumer keeps event IDs for 10 minutes, but the provider retries for 24 hours. If a database commit succeeds and the process crashes before the dedupe marker is written, a retry can repeat the side effect. Repair with local fixtures.

    • Read your context and instructions
    • Compiled the repair event deduplication

    The dedupe lifetime is shorter than the valid replay horizon and marker persistence is separated from the side effect. The repair aligns retention with the existing retry contract and makes side effect/processed-state transitions atomic or recoverably transactional, testing crash points, late retries, producer scope, and backfills.

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

    About this skill

    The problem

    Event deduplication and TTL policies often fall out of sync across distributed repositories, leading to race conditions, duplicate side effects, or inconsistent state ownership. Manually debugging these failures is difficult due to non-deterministic concurrency issues and brittle retry logic.

    What it does

    • Identifies misaligned TTL and replay-window boundaries across repository components.
    • Enforces atomic side-effect transitions to prevent partial failures during event processing.
    • Maps event identity and producer scope to establish clear trust boundaries.
    • Generates deterministic local fixtures and regression tests to simulate concurrency and out-of-order duplicates.
    • Fixes crash-recovery and retry behavior without weakening existing event contracts.

    Why this beats prompting it yourself

    Generic prompts often suggest broad retries or thread sleeps that mask underlying correctness defects. This skill systematically audits state ownership and atomicity, ensuring repairs respect your existing retention policies and ordering guarantees without introducing security regressions.

    Use cases

    • Fixing idempotency bugs where the same event triggers multiple side effects.
    • Aligning event retention periods with deduplication storage markers.
    • Resolving race conditions in concurrent event processing pipelines.
    • Implementing redacted observability for event lifecycle tracking.

    Known limitations

    Requires repository access via Read/Edit/Bash tools. Does not interact with live production environments, deployed state, or real customer secrets.

    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.

    Cannot redesign event contract, replay policy, retention policy, ordering guarantees, side-effect semantics, and public errors; cannot verify production infrastructure or prove every runtime, proxy, network, storage, clock, or scheduler ordering.

    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

      Your agent shows a sign-in link. Sign in and click Allow.

    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 with repository files and disposable local fixtures. Review patches and validation before merge. Keep production services, real credentials, customer payloads, and deployment out of scope.

    Listed2 months ago
    Updated9 days ago

    What's inside

    Frequently Asked Questions

    This skill audits your repository to identify and fix race conditions where TTL markers expire too early, collisions between different event producers, and non-atomic side effects that cause partial failures during retries.

    The skill is optimized for environments using Go and Redis, but it can be applied to any distributed system where event identity and state ownership need to be synchronized across repository components.

    Yes, the skill generates deterministic local fixtures and regression tests that simulate out-of-order duplicates and concurrency, allowing you to verify the fix in your development environment before deployment.

    Your purchase includes the full skill package compatible with leading AI coding agents, providing the logic to audit state ownership, map event identities, and generate robust idempotency repairs.

    The skill requires an AI agent with Read, Edit, and Bash tool access to your repository; it does not connect to live production clusters or handle real-world sensitive secrets.

    New in Data & Databases