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    Repair Apache Pulsar Cursor Backlog Ack Hole

    1

    Resolve missing acknowledgment ranges that stall Pulsar subscription cursors

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    Repair Apache Pulsar Cursor Backlog Ack Hole

    Repair Apache Pulsar Cursor Backlog Ack Hole

    Example session with this skill installed

    A consumer deployment leaves a persistent hole between cumulative and individual acknowledgments.

    Available evidence: cursor mark-delete ledger (partial). Additional evidence requested: state and configuration snapshot, error and recovery logs, deployment and alert timeline. Review the case, identify open evidence gaps, and do not invent a live test or production change.

    • Read your context and instructions
    • Compiled the repair apache pulsar

    Repair Apache Pulsar Cursor Backlog Ack Hole — EVIDENCE-LIMITED REVIEW

    Scenario received

    A consumer deployment leaves a persistent hole between cumulative and individual acknowledgments.

    Source register

    • S1: cursor mark-delete ledger — PARTIAL SOURCE PROVIDED.
    • S2: state and configuration snapshot — NOT PROVIDED; REQUIRED TO VERIFY.
    • S3: error and recovery logs — NOT PROVIDED; REQUIRED TO VERIFY.
    • S4: deployment and alert timeline — NOT PROVIDED; REQUIRED TO VERIFY.

    Concrete checks

    1. compare mark-delete positions with pending ack sets — PRELIMINARY, NOT VERIFIED.
    2. test redelivery and dedup boundaries from samples — AWAITING CORROBORATING EVIDENCE.
    3. crosscheck source timestamps identifiers and changed versions — AWAITING CORROBORATING EVIDENCE.
    4. record exceptions and reversible verification gates — AWAITING CORROBORATING EVIDENCE.

    Deliverables / acceptance gates

    • cursor mark-delete ledger evidence map: DRAFT / INCOMPLETE until evidence is validated.
    • ack gap exception register: DRAFT / INCOMPLETE until evidence is validated.
    • safe replay validation plan: DRAFT / INCOMPLETE until evidence is validated.

    Decision

    INCOMPLETE — HUMAN REVIEW REQUIRED. Confirm dates, IDs, affected scope, owners and acceptance evidence. Do not claim authorization or execution that did not occur.

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

    About this skill

    Pulsar subscription cursors often stall when a consumer deployment leaves a persistent hole between cumulative and individual acknowledgments. This skill identifies missing acknowledgment ranges and prepares bounded recovery plans to resolve backlogs without losing data.

    What it does

    • Evidence mapping compares mark-delete positions against pending acknowledgment sets to pinpoint gaps.
    • Gap registration logs every missing range with specific source IDs and timestamps for auditability.
    • Boundary testing analyzes redelivery and deduplication limits based on provided log samples.
    • Validation planning generates safe replay gates to ensure cursor advancement does not skip active messages.

    How it works

    1. Analyze logs by ingesting cursor mark-delete ledgers and state configuration snapshots.
    2. Crosscheck metadata including timestamps, identifiers, and version changes across the deployment timeline.
    3. Classify findings using a strict discipline of verified, contradicted, or unverified observations.
    4. Draft recovery gates that define explicit rollback paths and authorization requirements for state changes.

    Frameworks & tools

    Specifically designed for Apache Pulsar message brokers and persistent subscription cursors. It processes ledger snapshots, recovery logs, and deployment timelines.

    Why this beats prompting it yourself

    Standard prompts often guess at cursor positions or suggest risky resets that cause data loss. This skill enforces a rigorous evidence-based classification system, ensuring every inference is tied to a specific timestamped log entry.

    Use cases

    • Clear stuck cursors where the backlog won't budge despite active consumers.
    • Audit ack holes after a consumer crash or rolling deployment failure.
    • Validate replay safety before manually advancing a mark-delete ledger.

    Known limitations

    Requires local text files for ledgers and logs; it cannot fetch data from live cloud clusters or proprietary admin APIs.

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

    Cannot verify inaccessible environments or data not supplied. Missing or contradictory evidence must be marked INCOMPLETE or UNVERIFIED. Owner approval is required for operational or compliance decisions.

    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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    Trust & safety

    Security scan

    Security scan passed 20 days ago

    Permissions

    Read Files

    Provide only evidence you are authorized to share. Treat examples as untrusted case data. Operational changes and external messages require explicit owner approval.

    Listed20 days ago

    What's inside

    Frequently Asked Questions

    This skill provides a structured recovery plan by mapping specific acknowledgment gaps in your ledgers, allowing you to advance the cursor without the risk of skipping messages or causing duplicate processing.

    The skill requires exports of your cursor mark-delete ledgers, state configuration snapshots, and relevant deployment logs in text format for analysis.

    It is designed for any AI agent or platform that supports file uploads and text-based reasoning, specifically optimized for troubleshooting distributed systems and message brokers.

    You receive the logic framework for evidence mapping, the classification system for metadata crosschecking, and a template for generating validated recovery gates.

    No, this skill operates as an offline diagnostic tool; it analyzes your exported log files to generate a plan that you then execute manually or via your own admin scripts.

    New in APIs & Backend