amazon suspension appeal evidence builder

    1

    Audits Amazon suspension evidence to detect contradictions and build fact-based Plans of Action.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    I have a suspension notice for 'inauthentic item' and an invoice from my supplier. Can you check if this is enough for an appeal?

    Your agent does

    Appeal Blocker Report

    | Blocker ID | Blocker | Severity | Resolution Needed | |------------|---------|----------|-------------------| | B1 | Missing Supplier Phone | High | Add supplier contact details to invoice | | B2 | Quantity Mismatch | High | Units sold (500) exceed invoice units (200) |

    No appeal drafted: Evidence is insufficient.

    What you get

    Audit supplier invoices for Amazon policy compliance.Detect factual contradictions between multiple appeal drafts.Map available evidence to specific policy violation citations.Generate gap reports for missing supply chain documentation.

    About this skill

    The problem

    Amazon sellers often submit rushed appeals that contain contradictions, missing evidence, or unsubstantiated claims, leading to permanent account deactivation. Manual review of complex supply chain documents is prone to overlooking small details like address mismatches or quantity discrepancies that trigger automated rejections.

    What it does

    • Inventories all suspension notices, invoices, and shipping records into a structured audit trail.
    • Builds an evidence-to-issue matrix to map specific documents to Amazon's policy citations.
    • Detects high-severity contradictions between invoices, prior appeals, and registration data.
    • Separates verifiable completed actions from future commitments to ensure Plan of Action (POA) credibility.
    • Flags "appeal blockers" such as missing supplier contact info or insufficient inventory quantities.

    Why this beats prompting it yourself

    General prompts often hallucinate missing facts or promise results the seller hasn't achieved, which causes immediate rejection for bad faith. This skill enforces a strict verification workflow that refuses to draft an appeal unless the facts and evidence are logically aligned and documented.

    Use cases

    • Reviewing supplier invoices against Amazon's specific authenticity requirements.
    • Identifying why a prior appeal failed by detecting internal factual conflicts.
    • Drafting a Plan of Action grounded strictly in verifiable business records.
    • Building a gap report to identify exactly which documents are missing before submission.

    Known limitations

    Cannot verify the physical authenticity of products or documents. Does not guarantee reinstatement or provide legal advice. Requires all relevant documents to be provided by the user.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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