文档

map-product-features-to-patents-ip

试用

Research a product feature from current public sources, decompose it into stable technical dimensions, retrieve and review related patents, map each patent’s disclosed technical evidence to those dimensions, rank relevance under a transparent rubric, and generate a self-contained interactive HTML report. Use when a user asks which patents relate to a product feature, wants a product-feature-to-patent map, or needs patent results filtered by technical dimension.

它能做什么

Research a product feature from current public sources, decompose it into stable technical dimensions, retrieve and review related patents, map each patent’s disclosed technical evidence to those dimensions, rank relevance under a transparent rubric, and generate a self-contained interactive HTML report. Use when a user asks which patents relate to a product feature, wants a product-feature-to-patent map, or needs patent results filtered by technical dimension.

技能文档

Map Product Features to Patents

Purpose

Convert a natural-language product-feature description into:

  1. a cited public-evidence summary of the feature;
  2. a stable T1–TN technical decomposition;
  3. a deduplicated set of related patent records;
  4. evidence-backed record-to-dimension mappings and relevance priorities; and
  5. one self-contained HTML report with an accessible dimension filter.

This workflow identifies technical correspondence in patent disclosures. It does not establish that a product implements a patent, that a claim covers a product, that an organization owns a feature, or that infringement, validity, or freedom to operate exists.

Inputs

Required:

  • product_feature: natural-language description of the product capability, behavior, component, architecture, process, or user-visible feature.

Optional:

  • product_name, model, version, and release period;
  • manufacturer or responsible organization;
  • assignee_or_owner_filter;
  • jurisdictions;
  • filing_date_from and filing_date_to in ISO form;
  • priority_or_publication_date_scope where relevant;
  • language_scope;
  • display_limit or review budget;
  • family_deduplication method;
  • research_question and audience; and
  • confidentiality and web/MCP data-sharing boundary.

Do not apply a filter merely because the source default used one. Confirm what the user means by assignee, jurisdiction, and date. If the product/model or technical feature is materially ambiguous, clarify before live research.

Verified PatSnap MCP services

Inspect the installed live schema before calling an operation. Record connector key, operation, material request parameters, date, record IDs, and limitations.

Advanced Patent Search — required

  • Connector key: advanced_patent_search
  • Marketplace: https://open.patsnap.com/marketplace/mcp-servers/patent-search
  • Official marketplace page: https://open.patsnap.com/marketplace/mcp-servers/patent-search
  • Use for fielded keyword, concept/semantic-capable, classification, organization, jurisdiction, and date retrieval where exposed by the active contract.

Patent Briefing — required for selected records

  • Connector key: patent_briefing
  • Marketplace: https://open.patsnap.com/marketplace/mcp-servers/patent-briefing
  • Official marketplace page: https://open.patsnap.com/marketplace/mcp-servers/patent-briefing
  • Use for selected-record bibliography, family, legal-status context, claims, descriptions, translations, images, and verified record URLs where returned.
  • Connector key: deep_patent_mining
  • Marketplace: https://open.patsnap.com/marketplace/mcp-servers/patent-mining
  • Official marketplace page: https://open.patsnap.com/marketplace/mcp-servers/patent-mining
  • Use for technical problem, means, effect, component, material, process, and application extraction when supported.

Global Core Patent Database — optional

Do not use generic source-era patent-tool names or construct a patent URL from an undocumented template. If no verified global record link is returned, display the identifier and source without a fabricated hyperlink.

Step 1 — Research and decompose the product feature

1A. Resolve the product context

Identify:

  • exact product/model/version and geography;
  • feature name and synonymous marketing/technical terms;
  • release or documentation dates;
  • user-visible behavior;
  • known architecture, components, interfaces, inputs, outputs, and constraints; and
  • which details are publicly documented versus inferred or unknown.

Do not merge different product generations or regional variants without disclosure.

1B. Research current public evidence

When web research is authorized, prioritize:

  1. official product documentation and technical specifications;
  2. regulatory filings, standards, and certification materials;
  3. official developer, engineering, or safety documentation;
  4. peer-reviewed/technical publications and credible teardowns; and
  5. reputable secondary reporting for context.

For every material source record title, publisher, URL, publication/update date, access date, relevant passage/topic, and evidence state.

Use evidence states:

  • Official product statement;
  • Independent technical evidence;
  • Secondary report;
  • Analytical inference; and
  • Unknown or conflicting.

Manufacturer marketing claims are not proof of internal implementation or performance. Current sources must be verified at execution time.

1C. Handle product images

Embed an image only when:

  • the source and license/permission permit the intended use;
  • the image is genuinely relevant;
  • a stable safe URL or authorized local asset is available; and
  • attribution, caption, and alt text are provided.

Otherwise provide a source-page link or state “No embeddable product image verified.” Do not use random stock imagery or a fake product placeholder.

1D. Create T1–TN technical dimensions

Create the number of dimensions justified by the feature. Possible axes include:

  • sensing/input;
  • signal conditioning and feature extraction;
  • inference/recognition/control;
  • data fusion and state estimation;
  • system architecture and communications;
  • mechanical, optical, electrical, or material implementation;
  • interface/interaction and feedback;
  • safety, calibration, reliability, privacy, and resource constraints; and
  • product/application integration.

Each dimension contains:

FieldRequirement
dimension_idStable T1, T2, … identifier
nameClear international English technical label
definitionOne-to-three sentences with system boundary
includePositive mechanisms/features
excludeNearby concepts that should not map
evidenceProduct-source IDs and evidence state
search_conceptsTerms, synonyms, classifications, and relations
overlap_policyWhether cross-dimension mapping is legitimate
uncertaintyHidden implementation or source gaps

Primary dimensions should be discriminative, but technical layers can overlap. Do not force mutual exclusivity or claim that public sources fully describe a proprietary implementation.

Step 2 — Retrieve, review, and map patents

2A. Build complementary search strategies

For each dimension and for the integrated feature, construct:

  1. fielded keyword branches;
  2. concept/semantic-capable branches if the live schema supports them;
  3. classification-assisted branches derived from verified seed patents and official IPC/CPC definitions;
  4. functional/problem-effect branches; and
  5. optional assignee, jurisdiction, or date filters requested by the user.

Record exact query/request, connector operation, filters, query version, raw count, retrieval cap, screening sample, and limitations. Search multiple relevant languages and transliterations when needed.

Do not call a Top-K result set comprehensive. A display limit controls workload and presentation, not the search universe.

2B. Merge and deduplicate

  • Preserve every query/dimension hit.
  • Resolve publication, application, grant, and family identifiers.
  • Deduplicate under a declared family method for display when appropriate.
  • Keep jurisdiction-specific rights separate for legal/status context.
  • Choose a representative publication by a stated rule.
  • Reconcile result and selected-record counts.

2C. Retrieve evidence for selected records

For every displayed record obtain, where available:

  • publication identifier and verified link;
  • title;
  • original and normalized applicant/assignee;
  • publication, filing, and priority dates kept distinct;
  • jurisdiction;
  • dated legal-status signal;
  • abstract;
  • relevant claim/description passages for ambiguous or high-priority mappings;
  • family/provenance; and
  • translation state.

Missing data remain unavailable. Do not infer current ownership from applicant alone or treat a database status as an enforceability conclusion.

2D. Apply a transparent relevance rubric

Score or prioritize only after defining the rubric. Recommended dimensions:

DimensionQuestion
Technical-means correspondenceDoes the record disclose a materially similar mechanism, architecture, component, process, or relation?
Feature/function correspondenceDoes the disclosure address the relevant behavior or function?
Product/application contextIs the operating context comparable or merely adjacent?
Evidence depthTitle only, abstract, claim-assisted, or description-reviewed?
Dimension coverageWhich defined dimensions have direct evidence?
Uncertainty/noiseAre terms broad, translated, ambiguous, or only background?

If a numeric scale is useful, disclose anchors, weights, missing-data treatment, and sensitivity. The source’s 0–10 bands may be adapted, but do not imply false precision. Prefer controlled priorities such as high technical correspondence, relevant, partial/adjacent, weak, and excluded, each with evidence and uncertainty.

Relevance is not legal claim coverage, patent quality, commercial implementation, or infringement risk.

2E. Map technical dimensions

For each record/dimension:

  1. compare the dimension definition and inclusion/exclusion boundary;
  2. cite abstract, claim, or description evidence;
  3. assign one state:
    • directly disclosed;
    • partially disclosed;
    • context only;
    • not observed; or
    • unknown;
  4. map tech_dimensions only for direct/qualified partial disclosure under the report’s declared rule; and
  5. preserve evidence ID, field/passage, translation state, and reviewer depth.

A record may map to multiple T dimensions when each mapping has evidence. Do not map a dimension because the patent is merely in the same broad field. A low-ranked/noise record need not receive a dimension, but its exclusion reason should remain auditable.

2F. Write the relevance explanation

Use one to three concise sentences:

The record discloses [technical means] in [context], corresponding to T2 and T4 based
on [abstract/claim/description evidence]. It differs from the documented product
feature in [material boundary]; product implementation and claim coverage are unknown.

Do not repeat a score without explaining the technical relationship.

Step 3 — Generate the HTML report

Report structure

Header: title, product/model, decision question, generated date, patent-data cutoff
Scope and limitations
Part 1 — Product-feature evidence
  Original user description
  Public-evidence summary
  T1–TN technical dimensions and definitions
  Product image or source/unavailable state
Part 2 — Related patent evidence
  Search and selection method
  Accessible dimension filter and result count
  Records ordered by transparent relevance priority
  Identifier/link, title, entity, status/date, priority, T mappings, explanation, evidence
Sources and evidence register
Method, uncertainty, and legal boundary
  • Use a link only when returned by the active connector or documented by a current official global source.
  • Preserve exact identifier text.
  • Validate https scheme and host.
  • Add rel="noopener noreferrer" to new-tab links.
  • If no verified link exists, show identifier, connector/operation, and evidence ID.

Dimension filter

Provide an “All dimensions” control and one control per T dimension.

  • Buttons must be real `` elements with visible focus and ARIA pressed state.
  • Clicking a dimension filters or highlights records mapped under the declared rule.
  • Clicking the active dimension again or “All dimensions” restores all records.
  • Update a live result-count/status message.
  • Keep every record visible and readable when JavaScript is disabled.
  • Do not rely on color alone; show T IDs and names.
  • Preserve stable dimension-color mapping across cards, buttons, and records.

Use an accessible categorical palette sized to the actual dimensions. When categories exceed distinguishable colors, reuse hue only with additional labels/patterns; do not cycle colors without a non-color cue.

Scientific/executive styling

  • Use semantic HTML and system fonts.
  • Use a white/neutral canvas, navy/slate hierarchy, restrained teal emphasis, and accessible category colors.
  • Prefer tables or flat evidence cards, whitespace, and rules over nested cards.
  • Avoid gradients, stock imagery, decorative hero sections, 3D charts, and vendor UI.
  • Use responsive grids and horizontal overflow for wide evidence tables.
  • Include print/PDF styles and meaningful page breaks.

Security and self-containment

  • Embed CSS and minimal filter JavaScript in the single file.
  • Load no external JavaScript framework, CDN, font, tracker, iframe, or remote data.
  • Escape all user, web, and patent text.
  • Never inject retrieved HTML or JSON as executable code.
  • Validate image and source URLs; do not embed untrusted active formats.
  • Do not expose API keys, raw connector payloads, confidential input, or local paths.

Use the active environment’s approved file-editing/writing workflow. For a large file, write in validated bounded operations as needed; do not depend on source-specific writer operation names or arbitrary character limits.

Use:

  • “public product documentation states…”;
  • “the patent disclosure describes…”;
  • “technical correspondence to T3 under the defined mapping rule”;
  • “database status signal as of [date]”; and
  • “product implementation and claim coverage require additional evidence/review.”

Avoid:

  • “this is the patent behind the feature”;
  • “the product uses this patent”;
  • “the patent covers the product”;
  • “the assignee owns the product feature”;
  • “infringing/non-infringing”; and
  • “free to operate.”

Quality gate

Product research

  • Product/model/version and feature boundary are explicit.
  • Every material product fact has a current cited source and evidence state.
  • Marketing claims, independent evidence, inference, and unknowns are distinct.
  • Image source/license/alt text passes or an unavailable state is shown.

Technical dimensions

  • T IDs are stable and definitions include inclusion/exclusion boundaries.
  • Overlap and cross-cutting behavior are explicit.
  • Dimensions map to product evidence and search concepts.
  • No hidden implementation is invented.

Patent search and mapping

  • Queries, filters, versions, caps, dates, and family method are reproducible.
  • Display limit is not described as completeness.
  • Every displayed patent identity/status/date/link is source-backed and dated.
  • Every T mapping cites abstract/claim/description evidence.
  • Relevance rubric, evidence depth, uncertainty, and exclusions are visible.
  • No mapping is represented as claim coverage, implementation, or FTO.

HTML

  • One self-contained file opens locally with no remote dependency.
  • Semantic headings, controls, tables/cards, focus, ARIA state, and no-JS view work.
  • Filter state and counts are correct for every dimension.
  • T labels remain understandable without color.
  • Layout works on desktop, mobile, print, and grayscale.
  • Content/URLs are escaped and safe; no broken/fabricated link or image remains.

Stop conditions

Stop or narrow when:

  • product identity or feature scope cannot be resolved;
  • current credible product evidence is unavailable or contradictory;
  • image rights/source cannot be verified;
  • the global patent connector or required field/operation is unavailable;
  • retrieval caps prevent the requested completeness claim;
  • patent text is insufficient to map a dimension;
  • confidentiality rules prevent necessary research;
  • a global record link cannot be verified;
  • HTML validation fails; or
  • the user requests a legal coverage/infringement/FTO conclusion from this workflow.

Return completed research, missing evidence, affected mappings, residual uncertainty, and the exact next action. Do not fill gaps with plausible product or patent claims.

相关技能

Conduct an evidence-backed patent research program from a technical problem and preliminary solution through iterative patent searching, technology-route analysis, project novelty pre-screening, FTO-oriented risk screening, competitor monitoring, recent-publication surveillance, and self-contained HTML plus DOCX reporting. Use when a user asks for patent research, project-initiation novelty review, technical-route analysis, patent risk screening, competitor patent tracking, or a comprehensive patent-search report.

Build an evidence-backed competitive patent landscape for a defined industry, technology, competitor set, geography, and time window. Use when executives, strategy teams, product leaders, competitive-intelligence analysts, or IP teams need to understand competitor technology bets, patent clusters, geographic filing behavior, cross-market differences, representative patents, potential white-space hypotheses, entry timing, and prioritized actions in an accessible HTML report; do not use this skill as an infringement or FTO opinion.

Orchestrate an evidence-backed patent-landscape program for product planning, R&D strategy, competitor intelligence, technology-route analysis, recommended patent packages, and portfolio planning. Use when a user needs search and de-noising, complete-population landscape statistics, taxonomy design, a genuine human tagging handoff, representative patent analysis, and a self-contained scientific HTML report.

Convert an already retrieved, screened, and tagged patent dataset into an evidence-bounded competitive technology insight report. Use when the user requests patent-based technology-route analysis, competitor positioning, taxonomy-by-function matrices, process-route analysis, opportunity windows, trend signals, R&D/IP actions, or a management-grade Markdown or self-contained HTML white paper from prepared patent data.

Search patents owned or filed by one or more specified applicants within a defined technology topic. Use when an IP searcher or analyst needs an applicant-first, topic-constrained PatSnap strategy; evidence-backed assignee expansion; auditable PatSnap formulas; executed retrieval and deduplicated datasets; or a Markdown and Word retrieval report. Do not use for an unconstrained applicant portfolio dump, an applicant-free technology landscape, or downstream technical tagging after retrieval.

Create an evidence-backed executive company patent-strategy report in a continuous-scroll HTML format. Use when a CEO, general manager, board, strategy team, R&D leader, or IP team needs an eight-part profile covering executive findings, company and product context, technical strengths, competitive landscape, market opportunities, core risks, strategic recommendations, and—only when approved current materials are supplied—an aligned PatSnap solution section. Bind every material claim to patent, literature, standard, policy, company, or market evidence and label unsupported claims Unverified.