Discover the Best AI Skills

Guide inventors and R&D teams through a seven-step English invention-disclosure workflow, organize rough technical notes, identify missing technical support, and generate a structured draft for inventor and qualified patent-professional review. Use when a user has an idea, product note, paper abstract, experiment record, design discussion, or incomplete disclosure that must be made technically complete without drafting claims or providing legal conclusions.

Build, refine, govern, and apply an evidence-based taxonomy to patents, scientific literature, product records, technical intelligence, customer requirements, and other structured text. Use for open label discovery, semi-open or closed-set classification, label definitions and decision rules, pilot labeling, full CSV/XLSX labeling, adjudication queues, taxonomy backlogs, quality assurance, and selective PatSnap MCP evidence enrichment.

Build the patent-data layer for an applicant asset dashboard using PatSnap search and analytics APIs. Use when an IP analyst or developer needs applicant patent retrieval, patent-type subsets, filing trends, industry distribution, filing-office coverage, top inventors, or an innovation word cloud with documented collapse and counting rules.

Build a source-traceable, multi-page technology-intelligence HTML portal for OLED or another defined technology domain. Use when a user asks for a technology watch portal, company and technical-route monitoring brief, news/event tracker, patent evidence page, or refreshable R&D intelligence site.

Audit catalyst preparation and evaluation methods for executability, reproducibility, controlled comparison, attribution, measurement reliability, safety-review readiness, and claim-to-evidence linkage. Use for experimental procedures, screenshots, paper methods, patent examples, draft plans, and machine-generated catalyst routes.

Assess a defined product or technology field for project initiation by combining current market evidence, a reproducible global patent landscape, individually validated key players, technical themes and gap hypotheses, jurisdictional filing footprint, competitive tiers, risks, and differentiated project options in a self-contained scientific HTML report. Use for technology-market landscape, patent landscape, opportunity mapping, or R&D project-entry decisions.

Integrate target biology, disease rationale, drug pipeline, clinical, patent, scientific, regulatory, company, and transaction evidence for target or targeted-asset R&D and business-development decisions. Use for target initiation reviews, asset or modality opportunity screens, partnering theses, target landscape updates, and evidence-based go/no-go conditions.

Rank a user-defined PatSnap patent candidate universe with an auditable 30/30/20/20 model based on simple-family forward citations, simple-family size, core-inventor concentration, and verified legal-event activity; select a documented 10–15% screening portfolio and generate traceable English HTML, JSON, and optional Word outputs. Use for evidence-based patent portfolio triage, high-value patent screening, candidate prioritization, or portfolio-review preparation—not monetary valuation, validity, enforceability, or investment conclusions.

Assess automotive-lighting component architecture, sourcing strategy, and preliminary patent and design-right risk. Use when a user provides a lamp drawing, product image, bill of materials, technical concept, or make-versus-buy question for headlamps, rear lamps, fog lamps, signal lamps, or ambient lighting and needs an evidence-backed component breakdown, sourcing decision, multi-jurisdiction FTO screening, design-risk review, design-around options, and an accessible tabbed HTML report packaged as a ZIP file.