本文へ移動
cccskills
無料GitHub で公開

ecommerce.patent-references

Query patent forward citation details from the Nexscope patent database. Triggered when users ask about patent citations, cited patents, cited references, patent references, forward citations, prior art citations, or want to see which patents and non-patent literature specific patents cited during the application process, patent cited references, forward citations, patent references, citation analysis, or Nexscope. When users provide a patent ID or publication number and need citation information, even if they do not explicitly say "forward citation," any request about which references a patent cited applies.

インストール方法を見る

含まれるファイル(4)

  • SKILL.md6.7 KB
  • manifest.json395 B
  • references/api.md4.4 KB
  • scripts/patent_references.py7.9 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Nexscope Patent Forward Citation

This skill guides you on how to query patent forward citation data from the Nexscope patent database, helping users discover the patents and non-patent literature cited by specific patents during their application process.

Core Concepts

Forward citation refers to the patents and non-patent literature that a given patent has cited in its application documents. This is a fundamental aspect of patent analysis -- understanding what prior art a patent references helps assess its novelty, scope, and technological lineage.

  • Patent citations (citedPatents): Other patents referenced by the queried patent.
  • Non-patent literature citations (citedOthers): Academic papers, technical reports, and other non-patent documents referenced by the queried patent.

Parameter Guide

You must provide at least one of the following two parameters. If both are provided, patentId takes priority.

ParameterTypeRequiredDescription
patentIdstringConditionallyUp to 100 comma-separated patent IDs.
patentNumberstringConditionallySingle publication/announcement number only. Do NOT pass comma-separated multiple numbers.

Rules:

  1. At least one of patentId or patentNumber must be provided.
  2. If both are present, patentId is used preferentially.
  3. A request may contain up to 100 comma-separated patents. Confirm the intended batch before a multi-patent call.

Batch limit: patentId or patentNumber may contain up to 100 comma-separated values. Because the endpoint consumes significant credits, confirm the intended batch before submitting a multi-patent request.

Response Fields

FieldTypeDescription
totalintegerTotal number of records returned
dataarrayList of patent citation results
data[].patentIdstringPatent ID of the queried patent
data[].pnstringPublication/announcement number
data[].citedPatentsarrayList of cited patent documents
data[].citedOthersarrayList of cited non-patent literature
columnsarrayColumn definitions for rendering
costTokenintegerTokens consumed by the query
typestringRendering style hint

Invocation

  • API Endpoint: POST /zhihuiya/patentForwardCitation (full parameters/response/error codes in references/api.md)
  • Python Script: python scripts/patent_references.py '<JSON params>' [--inline]
  • Cost Constraints: This tool consumes credits. The same parameter combination defaults to a single call per session. The script includes a 24-hour local cache. Do not automatically retry after failure or empty results. Batch requests may contain up to 100 comma-separated patents; confirm the intended batch first.

Output Strategy (default script behavior):

  • Always write the full response to <cwd>/nexscope/<YYYY-MM-DD>/<session>/data/nexscope-zhihuiya-patent-forward-citation-<timestamp>.json (<cwd> is the working directory at script execution time, which in Claude Code is the current project directory; <session> is taken from the SESSION_ID environment variable, auto-grouped by user task; writing to /tmp is forbidden -- error if the current directory is not writable)
  • Response body <= 8 KB: print the full JSON to stdout after writing to disk
  • Response body > 8 KB: print only a summary to stdout after writing to disk (top-level fields, common counts like total/costToken, length of the largest list field + first 3 samples)
  • Add --inline to force full output to stdout (still writes to disk)

Data Reading Tip: Check the summary first to determine if it is sufficient; when specific fields are needed, prefer using jq or ConvertFrom-Json to extract from the saved JSON file on demand to avoid loading the entire JSON into context.

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.

Usage Examples

1. Query forward citations by publication number

Look up the forward citations for patent US10000000B2.

Parameters: {"patentNumber": "US10000000B2"}

2. Query forward citations by patent ID

Retrieve the cited references for patent ID 12345678.

Parameters: {"patentId": "12345678"}

3. Query forward citations using both identifiers

Look up citations for patent ID 12345678 (publication number US10000000B2).

Parameters: {"patentId": "12345678", "patentNumber": "US10000000B2"} (patentId takes priority)

Display Rules

  1. Present data clearly: Show citation results in well-structured tables, separating patent citations from non-patent literature citations.
  2. Summarize counts: Always state the total number of cited patents and cited non-patent literature items.
  3. No fabrication: Only display data returned by the API. Do not infer or fabricate citation details.
  4. Error handling: When a query fails, explain the reason based on the error response and suggest the user verify their patent ID or publication number.
  5. Per-patent results: Present each returned patent's citation data separately.
  6. Empty results: If a patent has no citations, explicitly inform the user rather than showing an empty table.

User Expression & Scenario Quick Reference

Applicable -- Patent citation queries:

User SaysScenario
"What patents does XX cite"Forward citation lookup
"Show me the references for patent XX"Citation detail retrieval
"What prior art is cited by XX"Prior art reference query
"List the cited literature for XX"Non-patent literature lookup
"Citation analysis for patent XX"Combined patent + literature citation
"What documents does patent XX reference"General citation query

Not applicable -- Needs beyond forward citation data:

  • Backward/reverse citations (who cites this patent)
  • Patent validity or legal status
  • Patent family analysis
  • Patent full-text search
  • Patent classification or landscape analysis

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Query 1688 product bestseller billboard data for sourcing discovery and wholesale product research. Trigger when the user mentions 1688 product rankings, 1688 bestseller lists, wholesale hot products, domestic sourcing rankings, dropshipping product selection, 1688 trending products, bulk purchase popular items, supplier product rankings, 1688 billboard, 1688 bestsellers, sourcing rankings, wholesale hot products, trending product rankings, supplier rankings, 1688 trends. Even if the user does not explicitly mention "1688 billboard", if their need involves discovering hot-selling wholesale products or sourcing opportunities on the 1688 platform, this skill should also be triggered.

日本語の概要は準備中です。原文の説明を表示しています。

nexscope-ai/nexscope-ecommerce-skills862026年10月9日 更新

Query 1688 public product details 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.

日本語の概要は準備中です。原文の説明を表示しています。

nexscope-ai/nexscope-ecommerce-skills862026年10月9日 更新

Search and analyze products on the Chinese 1688 wholesale platform (Alibaba domestic B2B market) for sourcing, supplier discovery, and product selection. Trigger when the user mentions 1688 product search, finding suppliers on 1688, wholesale product queries, factory sourcing, dropshipping supplier search, 1688 keyword product selection, wholesale price comparison, filtering by sales volume, any product research on the 1688 platform, 1688 search, 1688 product selection, find suppliers, factory lookup, wholesale pricing, supplier search, domestic sourcing, 1688 products. Even if the user does not explicitly say "1688", if their need involves searching for wholesale products, finding domestic suppliers, or sourcing from the domestic Chinese market, this skill should also be triggered.

日本語の概要は準備中です。原文の説明を表示しています。

nexscope-ai/nexscope-ecommerce-skills862026年10月9日 更新

Perform image-based product search on the 1688 platform. Use an image URL to find visually similar supplier products, returning title, price, minimum order quantity, monthly sales, repurchase rate, trade score, and seller identity. Triggered when users mention 1688 image search, 1688 visual search, find supplier by image, reverse image search 1688, 1688 product sourcing by image, or Alibaba 1688 image search. Even if the user does not explicitly mention "image search," this skill should be triggered whenever a user provides an image URL and wants to find matching or similar products on the 1688 wholesale platform.

日本語の概要は準備中です。原文の説明を表示しています。

nexscope-ai/nexscope-ecommerce-skills862026年10月9日 更新

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

日本語の概要は準備中です。原文の説明を表示しています。

nexscope-ai/nexscope-ecommerce-skills862026年10月9日 更新

Read and mutate SP, SB, and SD campaigns, ad groups, ads, targeting, and budget rules.

日本語の概要は準備中です。原文の説明を表示しています。

nexscope-ai/nexscope-ecommerce-skills862026年10月9日 更新

nexscope-ai のスキルをすべて見る

このスキルの問題を報告する