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    Repair Scheduler, Timer & Delayed Job Failures

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    Repair Scheduler, Timer & Delayed Job Failures is a bounded ToolForge Labs workflow.

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    Repair Scheduler, Timer & Delayed Job Failures

    Repair Scheduler, Timer & Delayed Job Failures

    Example session with this skill installed

    A nightly billing job runs twice around failover and sometimes skips after DST changes. Workers use a delayed queue plus a scheduler lease. Repair the scheduling contract without making every missed run execute immediately.

    • Read your context and instructions
    • Compiled the repair scheduler timer

    The likely failure is a contract mismatch around cron schedules, timers, delayed queues, time zones, leases, retries, catch-up behavior, missed runs, duplicate execution, clock changes, and job ownership. I would reconstruct one canonical invariant, identify the layer violating it, apply the smallest bounded repair, and add deterministic boundary/failure/control tests. Existing security and product policy would be preserved. If repository files are available I can map the repair to exact paths; otherwise I would provide concrete pseudocode and a verification plan without claiming execution.

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

    About this skill

    Repair Scheduler, Timer & Delayed Job Failures is a bounded ToolForge Labs workflow. Diagnose and repair cron schedules, timers, delayed queues, time zones, leases, retries, catch-up behavior, missed runs, duplicate execution, clock changes, and job ownership. Works from repositories or partial logs/configuration. Produces bounded repair patterns and deterministic tests while preserving existing product/security policy and avoiding invented execution claims. It works from a full repository or partial evidence such as snippets, logs, configuration, traces, tickets, and architecture notes. The skill preserves existing product and security policy, separates verified facts from assumptions, avoids invented execution claims, and produces concrete repair or review steps with focused deterministic validation or traceable evidence.

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

    Cannot perform live production verification or verify infrastructure-level triggers (e.g., AWS EventBridge) without provided logs or configuration snippets.

    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

    Use a clean branch or a controlled review workspace. Supply repository files, logs, traces, configuration, or evidence needed for the task. Review all patches/findings before merge or operational action; keep production credentials and destructive production actions out of the workflow.

    Listed2 months ago
    Updated9 days ago

    What's inside

    Frequently Asked Questions

    This skill specializes in distributed systems bugs like idempotency failures, time zone drifts during DST shifts, and job lease race conditions that general-purpose coding assistants often overlook.

    It supports common task queues and schedulers including Sidekiq, Celery, BullMQ, AWS Lambda/EventBridge, and Kubernetes CronJobs across most major programming languages.

    You will receive the specialized agent logic, a set of deterministic testing templates, and documentation on how to integrate the skill into your existing AI development workflow.

    While the skill cannot access live production environments, it provides specific remediation steps and test cases based on your provided logs or job configuration snippets.

    The skill is designed to work with all major LLMs (like GPT-4 and Claude 3), provided your agent platform supports external skill integration or system prompt extensions.

    It identifies why jobs run twice or not at all, then generates code patterns—such as atomic locks or idempotency keys—to ensure your tasks execute exactly once.

    New in Testing & Debugging