Ecommerce.Google Patent Search logo

Ecommerce.Google Patent Search

Organization
nexscope-ai
ecommerce.google-patent-search

Query Google Patents public search through the Nexscope research proxy. Use when the user requests this public marketplace or patent data; do not use for seller-console or store-authorized operations.

Overview

Publishernexscope-ai
Repositorynexscope-ecommerce-skills
Skill nameecommerce.google-patent-search
Stars
104
Forks
14
Bundled files
4
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.

  • 4 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.Google Patent Search 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-google-patent-search
  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-google-patent-search .claude/skills/ecommerce.google-patent-search
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ecommerce.Google Patent Search 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.Google Patent Search 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.Google Patent Search 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.

ecommerce.google-patent-search

Use this skill to query Google Patents public search. Read references/api.md before constructing a request.

Request contract

  • Endpoint: POST /api/v1/tools/research/googlePatent/search
  • Required: q (non-empty query, maximum 1000 characters).
  • Optional: num (10-100), page, country, language, before, after, sort, type, status, patents, scholar, litigation, inventor, assignee, clustered, dups.
  • Send only documented fields; reject unknown fields before network access.

Minimal example:

json
{"q":"wireless earbuds","num":10,"page":1}

Workflow

  1. Confirm the requested public entity, market, operation, filters, and expected cost.
  2. Validate parameters against the API reference. Send only documented business fields.
  3. Run python scripts/google_patent_search.py '<JSON parameters>' --no-cache once. Do not probe alternate products, markets, pages, or operations after a paid failure without user approval.
  4. Preserve the full response file. Distinguish the Nexscope transport envelope from the inner business response and report traceId on errors.
  5. Summarize only returned facts. Preserve missing values as unknown and identify the requested market and operation.

Cost

Do not reuse the source Skill's point value. This operation consumes Nexscope credits. Preserve X-Cost-Token and X-Cost-Credit from the response headers as server-reported billing metadata. The exact charge is unknown before the first live response.

Error and credit handling

  • HTTP 401 means Nexscope authentication failed. Verify NEXSCOPE_API_KEY and NEXSCOPE_PROXY_BASE; do not ask the user to paste credentials into chat or operation JSON.
  • HTTP 402 means the account lacks credits. Stop the workflow and direct the user to the access-help page below.
  • Marketplace authorization failures require the platform-specific account or token to be renewed. Do not substitute a different store, region, or creator automatically.
  • For ambiguous network failures, report whether the attempted operation was a read or mutation. Never repeat a mutation without reconciling its upstream state.

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

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.

Presenting results

  • Lead with the requested entity, market, operation, and the most decision-relevant returned fields.
  • Preserve source currencies, units, identifiers, dates, and missing values; do not invent conversions or defaults.
  • Keep the full JSON artifact and present compact tables for repeated records when useful.
  • Report the X-Cost-Token, calculated Nexscope credits, and trace ID from the saved billing metadata.

Boundaries and privacy

  • This migration is public-data and read-only. Do not invoke seller-console, store-authorized, favorite-write, or account mutation operations.
  • One explicit request per call. Do not silently change entity, market, date, operation, or page after an error.
  • Redact credentials, signed URLs, cookies, and internal account identifiers from user-facing output and saved request examples.
  • Do not claim live, ZIP-install, or production validation unless the matching evidence exists in references/testing.md.

References

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.Google Patent Search AI skill do?

Query Google Patents public search through the Nexscope research proxy. Use when the user requests this public marketplace or patent data; do not use for seller-console or store-authorized operations.

Why use Ecommerce.Google Patent Search on TypingMind?

Because you install it once and use it with any model. Ecommerce.Google Patent Search 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.Google Patent Search in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nexscope-ai/nexscope-ecommerce-skills/tree/main/ecommerce-google-patent-search. 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.Google Patent Search?

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.Google Patent Search?

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

Is the Ecommerce.Google Patent Search 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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