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    Repair Airflow Dataset Trigger Double Schedule

    1

    Stop duplicate DAG launches from overlapping dataset events.

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    Repair Airflow Dataset Trigger Double Schedule

    Repair Airflow Dataset Trigger Double Schedule

    Example session with this skill installed

    An event-driven DAG receives both dataset updates and a timed schedule.

    Available evidence: airflow run history (partial). Additional evidence requested: reference policy or configuration, event and change timeline, owner review or test record. Review this case; identify evidence gaps; do not invent a live test or production action.

    • Read your context and instructions
    • Compiled the repair airflow dataset

    Repair Airflow Dataset Trigger Double Schedule — EVIDENCE-LIMITED REVIEW

    Scenario received

    An event-driven DAG receives both dataset updates and a timed schedule.

    Source register

    • S1: airflow run history — PARTIAL SOURCE PROVIDED.
    • S2: reference policy or configuration — NOT PROVIDED; REQUIRED TO VERIFY.
    • S3: event and change timeline — NOT PROVIDED; REQUIRED TO VERIFY.
    • S4: owner review or test record — NOT PROVIDED; REQUIRED TO VERIFY.

    Concrete checks

    1. Correlate airflow run history with the authorized baseline — AWAITING CORROBORATING EVIDENCE.
    2. Isolate duplicate trigger sources for same interval using matching identifiers — AWAITING CORROBORATING EVIDENCE.
    3. Cross-check timestamps, versions and source ownership — AWAITING CORROBORATING EVIDENCE.
    4. Prepare reversible checks for single-run scheduling contract — AWAITING CORROBORATING EVIDENCE.

    Deliverables / acceptance gates

    • airflow run history traceability map: DRAFT / INCOMPLETE until evidence is validated.
    • duplicate trigger sources for same interval exception register: DRAFT / INCOMPLETE until evidence is validated.
    • single-run scheduling contract 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

    Repair Airflow Dataset Trigger Double Schedule is a ToolForge Labs Cursor Skill workflow. Stop duplicate DAG launches from overlapping dataset events.

    What this skill checks

    1. Correlate airflow run history with the authorized baseline.
    2. Isolate duplicate trigger sources for same interval using matching identifiers.
    3. Cross-check timestamps, versions and source ownership.
    4. Prepare reversible checks for single-run scheduling contract.

    What to provide

    • airflow run history.
    • reference policy or configuration.
    • event and change timeline.
    • owner review or test record.

    Deliverables

    • airflow run history traceability map.
    • duplicate trigger sources for same interval exception register.
    • single-run scheduling contract validation plan.

    Evidence policy Only supplied, authorized evidence is used. The skill distinguishes facts from assumptions and missing inputs; no unperformed live tests, external changes, or approvals are claimed.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse All Claude Skills.

    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 19 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.

    Listed19 days ago
    Updated9 days ago

    What's inside

    Frequently Asked Questions

    Stop duplicate DAG launches from overlapping dataset events.

    This skill uses the open SKILL.md standard. Use it through an MCP-compatible agent connected to Agensi, and check the compatibility information on this page for confirmed agents and required capabilities.

    Connect your AI agent to Agensi through MCP, then ask it to use Repair Airflow Dataset Trigger Double Schedule on your task. Your agent loads the latest approved version each time. Paid skills require a purchase or active subscription. Skill files are not available for download; your licence does not allow you to save, copy or export any part of a skill.