Install
openclaw skills install @yuanzhian-patsnap/map-product-features-to-patents-ipResearch 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.
openclaw skills install @yuanzhian-patsnap/map-product-features-to-patents-ipConvert a natural-language product-feature description into:
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.
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; andDo 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.
Inspect the installed live schema before calling an operation. Record connector key, operation, material request parameters, date, record IDs, and limitations.
advanced_patent_searchhttps://open.patsnap.com/marketplace/mcp-servers/patent-searchpatent_briefinghttps://open.patsnap.com/marketplace/mcp-servers/patent-briefingdeep_patent_mininghttps://open.patsnap.com/marketplace/mcp-servers/patent-miningglobal_core_patent_databasehttps://open.patsnap.com/marketplace/mcp-servers/core-patentsDo 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.
Identify:
Do not merge different product generations or regional variants without disclosure.
When web research is authorized, prioritize:
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; andUnknown or conflicting.Manufacturer marketing claims are not proof of internal implementation or performance. Current sources must be verified at execution time.
Embed an image only when:
Otherwise provide a source-page link or state “No embeddable product image verified.” Do not use random stock imagery or a fake product placeholder.
Create the number of dimensions justified by the feature. Possible axes include:
Each dimension contains:
| Field | Requirement |
|---|---|
dimension_id | Stable T1, T2, … identifier |
name | Clear international English technical label |
definition | One-to-three sentences with system boundary |
include | Positive mechanisms/features |
exclude | Nearby concepts that should not map |
evidence | Product-source IDs and evidence state |
search_concepts | Terms, synonyms, classifications, and relations |
overlap_policy | Whether cross-dimension mapping is legitimate |
uncertainty | Hidden 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.
For each dimension and for the integrated feature, construct:
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.
For every displayed record obtain, where available:
Missing data remain unavailable. Do not infer current ownership from applicant alone or treat a database status as an enforceability conclusion.
Score or prioritize only after defining the rubric. Recommended dimensions:
| Dimension | Question |
|---|---|
| Technical-means correspondence | Does the record disclose a materially similar mechanism, architecture, component, process, or relation? |
| Feature/function correspondence | Does the disclosure address the relevant behavior or function? |
| Product/application context | Is the operating context comparable or merely adjacent? |
| Evidence depth | Title only, abstract, claim-assisted, or description-reviewed? |
| Dimension coverage | Which defined dimensions have direct evidence? |
| Uncertainty/noise | Are 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.
For each record/dimension:
directly disclosed;partially disclosed;context only;not observed; orunknown;tech_dimensions only for direct/qualified partial disclosure under the
report’s declared rule; andA 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.
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.
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
https scheme and host.rel="noopener noreferrer" to new-tab links.Provide an “All dimensions” control and one control per T dimension.
<button> elements with visible focus and ARIA pressed state.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.
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:
Avoid:
Stop or narrow when:
Return completed research, missing evidence, affected mappings, residual uncertainty, and the exact next action. Do not fill gaps with plausible product or patent claims.