Ecommerce.Amazon Ads Sp Insights Report logo

Ecommerce.Amazon Ads Sp Insights Report

Organization
nexscope-ai
ecommerce.amazon-ads-sp-insights-report

Retrieve Amazon Ads Sponsored Products audience and search-term impression-share reports through Nexscope.

Overview

Publishernexscope-ai
Repositorynexscope-ecommerce-skills
Skill nameecommerce.amazon-ads-sp-insights-report
Stars
104
Forks
14
Bundled files
10
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 10 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by nexscope-ai on GitHub. Read the source before you install it.

Installation

Install the Ecommerce.Amazon Ads Sp Insights Report AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/nexscope-ai/nexscope-ecommerce-skills/tree/main/ecommerce-amazon-ads-sp-insights-report
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/nexscope-ai/nexscope-ecommerce-skills.git /tmp/nexscope-ecommerce-skills
mkdir -p .claude/skills
cp -r /tmp/nexscope-ecommerce-skills/ecommerce-amazon-ads-sp-insights-report .claude/skills/ecommerce.amazon-ads-sp-insights-report
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ecommerce.Amazon Ads Sp Insights Report in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ecommerce.Amazon Ads Sp Insights Report on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ecommerce.Amazon Ads Sp Insights Report is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Amazon Ads Sponsored Products Insights Reports

Scope

Amazon Ads Reporting API v1 beta audience performance and search-term impression share/rank reports, including advertiser-account mapping, report creation, polling, and multipart CSV download.

Requires an existing Amazon Ads connection through ecommerce.amazon-ads-api-access. It does not replace ordinary SP search-term performance, Sponsored Brands, Sponsored Display, or DSP reporting.

Read references/api.md for the authoritative contract and references/api.json for the machine-readable operation catalog.

Operations

ScriptNexscope route
get_sp_audience_report.pyPOST /api/v1/tools/research/amazonAds/developerProxy
get_sp_search_impression_share.pyPOST /api/v1/tools/research/amazonAds/developerProxy

Response handling

For the research HTTP response, require a numeric outer code equal to 0 before using data. Nonzero codes are platform failures; display outer msg without interpreting its wording as a retry instruction. Nexscope preserves upstream messages and translates Chinese to English; successful responses may have msg: null. HTTP 200 alone and nested business code / status do not replace the platform check. See references/api.md for response paths and task-specific states.

Package scripts that unwrap the response keep the platform code and msg under _nexscope; their remaining fields are the business payload. _nexscope.cost is elapsed time, not credits.

Authentication and safety

  • Set NEXSCOPE_PROXY_BASE and NEXSCOPE_API_KEY. Send the Nexscope key as Authorization: Bearer <key>.
  • This skill requires ecommerce.amazon-ads-api-access and an authorized Amazon Ads connection. Resolve the intended profile before requesting a report; never accept Amazon access or refresh tokens.
  • Follow the online Ads packages' connection lifecycle: authorization state, OAuth exchange, encrypted credentials, token refresh, profile discovery, and provider request signing remain backend-owned.
  • The allowlisted v1 beta operations still use the dedicated Nexscope developerProxy; do not substitute direct Amazon endpoints or the v3 reporting workflow.
  • Provider credentials and upstream tokens remain backend-owned. Never accept, print, or persist them.
  • Treat HTTP 401 as Nexscope authentication failure and HTTP 402 as insufficient Nexscope credits.
  • Do not substitute another account, market, region, creator, product, or operation after an authorization or ambiguous network failure.
  • This operation consumes credits. Preserve X-Cost-Token and X-Cost-Credit from response headers as server-reported billing metadata.

Workflow

  1. Identify the exact operation, market/account context, filters, dates, pagination, and requested output.
  2. Validate required fields, types, enums, ranges, and operation-specific limits against references/api.md before any request.
  3. Explain that additional pages, markets, or operations may consume more credits and obtain approval before a paid call.
  4. Run only the selected entry script, for example: python scripts/get_sp_audience_report.py '<JSON parameters>' --no-cache when the script supports that flag.
  5. Preserve the full response under nexscope/<date>/<session>/data; return a concise summary and the saved path.
  6. On an ambiguous timeout or upstream failure, do not retry automatically. Report the trace ID and reconcile state first.

Output rules

  • Distinguish the Nexscope transport envelope from the nested business response.
  • Report only returned facts. Preserve absent values as unknown and keep provider-specific metric definitions intact.
  • Never expose API keys, provider tokens, presigned URL query strings, internal account records, or raw secrets.
  • Do not submit feedback or make any unrelated external mutation unless the user explicitly requests it.

Authentication

Set the NEXSCOPE_API_KEY environment variable. If credentials are missing or expire, visit https://www.nexscope.ai/help/skills-external-access?co-from=skillNS to top up credits.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ecommerce.Amazon Ads Sp Insights Report AI skill do?

Retrieve Amazon Ads Sponsored Products audience and search-term impression-share reports through Nexscope.

Why use Ecommerce.Amazon Ads Sp Insights Report on TypingMind?

Because you install it once and use it with any model. Ecommerce.Amazon Ads Sp Insights Report is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ecommerce.Amazon Ads Sp Insights Report in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nexscope-ai/nexscope-ecommerce-skills/tree/main/ecommerce-amazon-ads-sp-insights-report. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ecommerce.Amazon Ads Sp Insights Report?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ecommerce.Amazon Ads Sp Insights Report?

As many as you like. As long as a model supports skills, you can use Ecommerce.Amazon Ads Sp Insights Report with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ecommerce.Amazon Ads Sp Insights Report AI skill free?

It is published on GitHub by nexscope-ai. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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