Introduction

After launching Amazon Sponsored Products ads, the common confusion isn’t usually about “whether reports exist,” but rather facing a pile of search terms in the report without knowing if money is being trapped in terms that have clicks but zero orders. It is also difficult to verify if the “should be negated” or “should be bid down” strategies circulating in communities actually hold true for your specific account. Manually filtering spend and orders in Excel and cross-referencing a generic negation list is time-consuming and prone to missing issues related to proportion.

Below is an introduction to the Agent Skill @org-zfj6zggg/lingxiao-amazon-ads-check on SkillHub (Page Name: Amazon Ad Spend Stopped on Terms with No Orders, v1.0.3). It is designed for a workflow of “throw in a search term report and get conclusions”: it does not read the store but performs statistics and rule validation based solely on the report you provide. It is suitable for conversational use within Agents that support Skills, such as Cursor.

What is This

In one sentence: Use Amazon ad search term reports to calculate the proportion of spend with zero orders and verify if the “should be negated / should be bid down” strategies are valid for this account.

  • Identifier: @org-zfj6zggg/lingxiao-amazon-ads-check
  • Source: SkillHub enterprise category business-ops
  • Publisher: Shenzhen Tonghua Culture & Media Co., Ltd.
  • Tags: requires_api_key=false (According to SkillHub page annotations, installing this Skill itself does not require an API Key)

The official description emphasizes: identifying which terms with no orders the ad budget is stuck on; checking if money is being spent on the broadest layer of targeting; and focusing on search term reports for analysis without connecting to the store backend.

Core Functions

The following capabilities are derived from the official SkillHub page and crawled metadata; no interfaces or backend capabilities not present in the materials are expanded upon.

  1. Zero-Order Spend Ratio
    Based on the search term report, calculates the proportion of spend related to “clicks but zero orders” against total spend, answering the question “Is a large amount of ad spend stuck on terms with no sales?”

  2. Spend Structure Perspective
    Combined with the phrasing “the broadest layer,” it judges from report data whether the budget is falling too heavily on overly broad, low-conversion search intents (specific stratification logic is guided by the Agent executing the SKILL.md within the Skill).

  3. Account-Level Verification of “Should Negate / Should Bid Down”
    It does not simply repeat generic negation lists from the internet. Instead, it uses your account’s real search term and spend data to test whether common negation or bid reduction practices hold true for your current data.

  4. Trigger Scenarios (Official Description)
    The Agent should enable this Skill when the user wants to launch Amazon ads, optimize ads, negate keywords, determine where ad money is going, ask “is the strategy found online correct,” or analyze search term reports.

Installation and Activation

Installation follows the official SkillHub instructions: first, prepare the skillhub CLI according to SkillHub Installation and Priority Source Configuration, then install the skill to the actual skills directory read by the current Agent (the Agent will not load it if installed in the wrong directory).

1. Check or Install SkillHub CLI

command -v skillhub && skillhub --version

If not installed, use the officially recommended one-click installation (fully includes CLI and default Skills):

curl -fsSL https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/install.sh | bash

If only the CLI is needed:

curl -fsSL https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/install.sh | bash -s -- --cli-only

2. Install This Skill

The SkillHub skill page specifies: Please install @org-zfj6zggg/lingxiao-amazon-ads-check according to the above installation documentation.

skillhub install org-zfj6zggg/lingxiao-amazon-ads-check --dir <Your Agent skills directory>

Common directory examples (from official installation docs; replace <skills directory> based on the client you are actually using):

  • Cursor: ~/.cursor/skills/
  • Claude Code: ~/.claude/skills/
  • Codex: ~/.codex/skills/ or .agents/skills/ under the project

After installation, restart or refresh the Agent as required by the client to ensure SKILL.md is loaded.

Typical Usage

The official workflow can be summarized into three steps, which can be replicated in a conversation.

  1. Export the search term report from Amazon Ads Backend (Sponsored Products Search Query report, containing fields like clicks, spend, orders, etc.; specific export paths depend on the current Amazon backend interface).
  2. Upload or paste the report into the Agent with this Skill enabled (or specify the report file path) and state your request, for example: “Calculate the proportion of spend with clicks but zero orders” or “Help me check if negation suggestions hold true in this data.”
  3. Make optimization decisions based on the Agent’s output: Consider negating or lowering bids for high-spend, zero-order terms, and adjust matching or structure based on “should bid down” conclusions; run another comparison with a new report later.

Example conversational intents (not fixed scripts, meant to align with official trigger scenarios):

  • “Here is last week’s search term report; did the ad spend all go to terms with no orders?”
  • “People online say broad terms should be negated and generic terms should be bid down; verify this with my report.”
  • “I’m preparing to launch a new set of SPs; first, help me give this historical search term report a health check.”

Applicable Scenarios and Notes

Who it is for

  • Operators or sellers who manage their own Amazon SP ads and pull search term reports regularly.
  • Those who need to turn the “feeling that money is spent wrongly” into a quantitative discussion of “proportion + whether to negate/bid down in this account” before asking an Agent to help organize the conclusions.

Limitations and Precautions

  • Does not read the store: The Skill description explicitly states it does not connect to the store; you can only provide reports or equivalent data, and it cannot automatically pull from the backend.
  • Data Quality: The report’s time range, ad type, and currency must match the campaign you want to optimize, otherwise the proportion and negation conclusions will be biased.
  • Version: The current SkillHub version is v1.0.3; for upgrades, use skillhub to update the same identifier, and ensure the --dir matches the initial installation.
  • Ratings and Downloads: The SkillHub page shows a rating of 100000 and 2356 downloads (statistics are based on the page and may change over time).

The materials do not separately list installation differences for Cursor / Codex / Claude Code; aside from the skills directory path, all three use the same skillhub install command.

Conclusion

@org-zfj6zggg/lingxiao-amazon-ads-check condenses the “zero-order spend” and “verification of whether to negate/bid down in this account” from search term reports into a conversational health check. It is suitable for quickly aligning data before launching or during optimization cycles, rather than just reciting a set of generic negation mantras.

  • SkillHub Skill Page: https://www.skillhub.cn/skills/org-zfj6zggg/lingxiao-amazon-ads-check
  • API Entry (SkillHub Registered): https://api.skillhub.cn/org-zfj6zggg/lingxiao-amazon-ads-check
  • Installation Instructions: https://skillhub.cn/install/skillhub.md