Ecommerce.Amazon Ads Api Access logo

Ecommerce.Amazon Ads Api Access

Organization
nexscope-ai
ecommerce.amazon-ads-api-access

Authorize Amazon Ads accounts and inspect safe connection and profile metadata.

Overview

Publishernexscope-ai
Repositorynexscope-ecommerce-skills
Skill nameecommerce.amazon-ads-api-access
Stars
104
Forks
14
Bundled files
5
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.

  • 5 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 Api Access 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-api-access
  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-api-access .claude/skills/ecommerce.amazon-ads-api-access
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ecommerce.Amazon Ads Api Access 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 Api Access 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 Api Access 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 Auth

Authorize Amazon Ads accounts and inspect safe connection and profile metadata.

The package preserves 5 Amazon-platform operations (4 read or connection operations and 1 mutation). It uses only NEXSCOPE_PROXY_BASE and NEXSCOPE_API_KEY. Provider credentials, refresh, request signing, authorization state, upload locations, and document locations remain on the backend.

Core Concepts

  • Authorization creates a backend-owned connection; provider access and refresh tokens never enter the skill runtime.
  • Profiles are safe account metadata used to choose the correct advertising account before reads or mutations.
  • The backend Ads authorization service resolves OAuth application parameters; the local database stores OAuth state, encrypted credentials, and connection/profile metadata.
  • This Advertising API authorization flow is separate from Seller Central and does not use the Seller SP-API connector.

Operation Catalog

The concise index below is generated from the same contract consumed by the runtime. See references/api.md for full request, validation, pagination, result, status, and example details, and references/api.json for the machine-readable contract.

authorize_url - Authorize Url

  • Request: POST /api/skill/amazon/connections/amazon-ads/authorize; access: write; execution: specialized.
  • Required: region, marketplaceId.- Optional: workspaceId, accountName, returnPath.- Query: None; body: workspaceId, region, marketplaceId, accountName, returnPath.
  • Constraints: none.

authorized_stores - Authorized Stores

  • Request: GET /api/skill/amazon/connections/amazon-ads; access: read; execution: specialized.
  • Required: None.- Optional: workspaceId.- Query: workspaceId; body: None.
  • Constraints: none.

profiles - Profiles

  • Request: GET /api/skill/amazon/connections/amazon-ads/profiles; access: read; execution: specialized.
  • Required: connectionId.- Optional: workspaceId.- Query: workspaceId, connectionId; body: None.
  • Constraints: none.

refresh_token - Refresh Token

  • Request: NONE backend-owned token refresh; access: write; execution: removed.
  • Required: None.
  • Optional: None.
  • Query: None; body: None.
  • Constraints: none. The backend owns token storage and refresh; use authorization status and connection metadata.

store_tokens - Store Tokens

  • Request: NONE backend-owned OAuth callback token storage; access: write; execution: removed.
  • Required: None.
  • Optional: None.
  • Query: None; body: None.
  • Constraints: none. The backend owns token storage and refresh; use authorization status and connection metadata.

API Invocation

Ask for an owned connectionId, the intended account, marketplace, and region. workspaceId is optional: omit it when the API key is already bound to the workspace. Select an exact callable operation from references/api.json; do not invent paths or use a removed compatibility row. Run the relevant script from: scripts/amazon_connection.py.

Reads may follow a continuation token only when fetchAll is true and always stop at maxPages. Paginated reads expose stable execution metadata: success, pagesFetched, truncated, and total when the list field is known. Client-side ASIN/SKU filters additionally report serverTotalBeforeClientFilter and clientSideFilters.

Authorization is a connection-lifecycle action executed once through the dedicated connection route; it is not an Ads entity mutation and does not use write preview/confirm.

Authorization state, OAuth application parameters, token exchange, encrypted credential storage, and profile discovery remain backend-owned. The skill receives only the authorization URL and safe connection metadata.

Authentication and Connection Lifecycle

  • Set NEXSCOPE_PROXY_BASE to the approved gateway base and NEXSCOPE_API_KEY to the caller credential.
  • Use the workspace resolved from the API key (or an explicit workspaceId override) and an owned connectionId to select the account. Do not ask for Ads access tokens, refresh tokens, OAuth client credentials, or signing secrets.
  • If authorization is missing or expired, use the corresponding connection script to authorize or inspect status. Token persistence and refresh remain backend-owned.
  • Billing or credit behavior is determined by the gateway contract; do not repeat legacy credit claims or onboarding instructions.

Usage Examples

bash
python scripts/amazon_connection.py '{"action":"connections","workspaceId":"user:42"}'
bash
python scripts/amazon_connection.py '{"action":"authorize","workspaceId":"user:42","region":"NA","marketplaceId":"ATVPDKIKX0DER","accountName":"Example account"}'

Examples use placeholders. The authorization command starts the backend-owned Ads OAuth flow and never accepts provider credentials.

Display Rules

  1. Identify the selected account, marketplace, operation, and whether it is read-only or a mutation.
  2. For a mutation, show the preview and wait. Never print or reuse a confirmation token outside the separate approved confirm call.
  3. For pagination, show pagesFetched, total when known, truncated, and the continuation token only when another bounded call is required.
  4. For client-side filters, show the provider count before filtering and the filters applied.
  5. For a pending report or feed, preserve the returned resource ID and show the structured resume instruction.
  6. For documents, show outputFile, byte count, content type, and decode/compression metadata when returned; never expose a provider download location.
  7. Treat 401/403 as authentication or ownership failures, 429 as a bounded-backoff condition, and 5xx as a sanitized upstream failure. Ads report 425 recovery applies only to the Ads report workflow.

Important Limitations

  • Legacy token storage and refresh commands are intentionally not callable; inspect connection status instead.
  • Provider rate limits vary by operation and account. Honor returned rate-limit metadata and Retry-After; do not hardcode a universal requests-per-second value.
  • The gateway allowlists exact API families. An unsupported path is a contract error, not a reason to bypass the gateway.
  • Official API names and versions are recorded in references/api.md; this package intentionally contains no direct external host URL.

User Expression and Scenario Quick Reference

ClassificationGuidance
ApplicableAuthorize Ads and list safe profiles or connections
Not applicableManage campaigns or download reports

When the request crosses package boundaries, use the aggregate package only if its catalog contains the exact operation; otherwise choose the narrower package.

Privacy and Errors

Do not request, print, cache, or store provider credentials. Treat advertising account, campaign, targeting, metric, and report data as private. Scripts exit nonzero for HTTP, application, upstream, invalid JSON, and malformed response failures. See references/testing.md for executable prompts, expected routes, error cases, and evidence.

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 Api Access AI skill do?

Authorize Amazon Ads accounts and inspect safe connection and profile metadata.

Why use Ecommerce.Amazon Ads Api Access on TypingMind?

Because you install it once and use it with any model. Ecommerce.Amazon Ads Api Access 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 Api Access 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-api-access. 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 Api Access?

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 Api Access?

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

Is the Ecommerce.Amazon Ads Api Access 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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