Zhihuiya Abstract Translated

从智慧芽（PatSnap）专利数据库获取专利标题和摘要的翻译版本。当用户要求专利摘要翻译、专利标题翻译、翻译后的专利摘要、其他语言的专利内容、中文/英文/日文的专利摘要，或需要通过专利ID或公开号查询特定专利的摘要、标题、patent abstract translation, patent title translation, PatSnap, patent translation, abstract lookup时触发此技能。当用户提到智慧芽、PatSnap或专利摘要查询时也应触发，即使未明确说"翻译"。

Zhihuiya Patent Abstract (Translated)

This skill guides you on how to retrieve translated patent titles and abstracts from the Zhihuiya (PatSnap) patent database, supporting Chinese, English, and Japanese translations.

Core Concepts

Zhihuiya (PatSnap) is a leading patent intelligence platform. This tool queries its database to return translated titles and abstracts for one or more patents. You can look up patents by patent ID or publication (announcement) number, and receive translations in Chinese, English, or Japanese.

Patent identification: Each patent can be identified by either a patentId (internal Zhihuiya identifier) or a patentNumber (public publication/announcement number such as US20200012345A1 or CN112345678A). If both are provided, the patent ID takes priority.

Family patent fallback: When the original patent has no abstract available, you can optionally substitute the abstract from a related family patent by enabling the replacement option.

Parameter Guide

Parameter	Type	Required	Description
patentId	string	At least one of patentId or patentNumber	Zhihuiya internal patent ID. Separate multiple IDs with commas. Max length 60,000 characters.
patentNumber	string	At least one of patentId or patentNumber	Publication (announcement) number. Separate multiple numbers with commas. Max length 60,000 characters.
replaceByRelated	integer	No	Whether to substitute a family patent abstract when the original is unavailable. 1 = yes, 0 = no. Default 0.
lang	string	No	Target translation language. en = English (default), cn = Chinese, jp = Japanese.

Key Rules

1. At least one identifier is required: You must provide either patentId or patentNumber (or both). If both are supplied, patentId takes priority.
2. Batch queries: Multiple patents can be queried at once by separating values with commas.
3. Default language is English: When the user does not specify a language, use en.
4. Family fallback: Set replaceByRelated to 1 only when the user explicitly wants a substitute abstract from a family patent if the original is missing.

Response Fields

Field	Description
total	Number of patent records returned
data	Array of patent objects (see below)
data[].patentId	Zhihuiya internal patent ID
data[].pn	Publication (announcement) number
data[].title	Translated patent title
data[].abstractText	Translated patent abstract
data[].pnRelated	Publication number of the substitute family patent (only present when family replacement was used)
costToken	Tokens consumed by this request

Usage Examples

1. Translate a single patent abstract to English by publication number

Look up patent number US20200012345A1 and give me the English abstract.

Parameters: patentNumber = "US20200012345A1", lang = "en"

2. Translate multiple patents to Chinese

Get the Chinese translation of abstracts for patents CN112345678A and US20200067890A1.

Parameters: patentNumber = "CN112345678A,US20200067890A1", lang = "cn"

3. Look up by patent ID with family fallback

Get the Japanese abstract for patent ID 12345678. If the abstract is unavailable, use a family patent instead.

Parameters: patentId = "12345678", lang = "jp", replaceByRelated = 1

4. Batch query by patent IDs

Translate the titles and abstracts for these patent IDs: 111111, 222222, 333333.

Parameters: patentId = "111111,222222,333333", lang = "en"

Display Rules

1. Present data clearly: Show results in a well-structured table with patent number, title, and abstract.
2. Indicate language: Mention the translation language in the output header so users know which language the results are in.
3. Family patent notice: If pnRelated is present in any result, explicitly inform the user that the abstract was sourced from a family patent and show the substitute publication number.
4. Long abstracts: For very long abstracts, display the full text without truncation so users can review the complete content.
5. Error handling: When a query fails or returns no results, explain the likely cause (e.g., invalid patent number, patent not found in database) and suggest corrections.
6. No subjective commentary: Present the translated text as-is without adding interpretation or legal analysis of the patent content.

API Usage

This tool calls the LinkFox tool gateway API. See references/api.md for calling conventions, request parameters, and response structure. You can also execute scripts/zhihuiya_abstract_translated.py directly to run queries.

Important Limitations

• Identifier required: At least one of patent ID or publication number must be provided; the tool cannot perform keyword-based searches.
• Translation languages: Only Chinese (cn), English (en), and Japanese (jp) are supported.
• No full-text retrieval: This tool returns only titles and abstracts, not full patent claims or descriptions.
• Family replacement is optional: The substitute family patent abstract is only provided when explicitly requested via replaceByRelated = 1.

User Expression & Scenario Quick Reference

Applicable -- Patent abstract and title translation queries:

User Says	Scenario
"Translate this patent abstract"	Single patent translation
"What does patent XX say / what is it about"	Abstract lookup
"Get the Chinese/Japanese version of this patent"	Specific language translation
"Look up the abstract for patent number XX"	Publication number lookup
"Translate these patents in batch"	Batch translation
"The abstract is missing, try a family patent"	Family patent fallback

Not applicable -- Needs beyond abstract translation:

• Full patent text, claims, or description retrieval
• Patent search by keyword, classification, or applicant
• Patent legal status, citation analysis, or landscape reports
• Patent valuation or infringement analysis

Feedback:

Auto-detect and report feedback via the Feedback API when any of the following apply:

1. The functionality or purpose described in this skill does not match actual behavior
2. The skill's results do not match the user's intent
3. The user expresses dissatisfaction or praise about this skill
4. Anything you believe could be improved

Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.

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