patent-mining

Research

Systematic Patent Analysis Campaign — 5 strategies for patent landscape analysis, prior art search, white space identification, competitive intelligence, and claim analysis. Produces structured patent intelligence reports.

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Source SKILL.md: https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/patent-mining/SKILL.md

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Patent Mining

Systematic patent intelligence campaign. Analyzes patent landscapes, traces prior art, identifies white spaces, profiles competitor portfolios, and decomposes claim scope.

Strategy Routing

Signal	Strategy
"map the patent landscape for X" / "who are the key players in X" / "filing trends"	landscape-survey
"is X novel" / "find prior art for X" / "freedom to operate"	prior-art-search
"where are the gaps" / "uncovered areas" / "opportunity mapping"	white-space-analysis
"what is competitor Y doing" / "portfolio comparison" / "IP strategy"	competitive-intelligence
"analyze these claims" / "claim scope" / "protection breadth"	claim-analysis

Manifest

Strategies (5)

Strategy	Budget Summary
landscape-survey	200 families, 0 claim parses, 80 web searches
prior-art-search	80 families, 20 claim parses, 50 web searches
white-space-analysis	150 families, 10 claim parses, 60 web searches
competitive-intelligence	120 families, 15 claim parses, 40 web searches
claim-analysis	30 families, 30 claim parses, 20 web searches

Tactics (3)

Tactic	Purpose
patent-family-tracing	Forward/backward citation and priority chain tracing
classification-navigation	IPC/CPC hierarchy drill-down and lateral expansion
claim-decomposition	Independent/dependent claim parsing and feature mapping

Subagent SOPs (11)

SOP	Purpose
patent-query-formulation	Construct multi-faceted patent search strategies
patent-categorization	Classify patents by subdomain and value chain
assignee-normalization	Standardize assignee names and corporate groups
citation-network-analysis	Build citation graphs, compute main path and PageRank
trend-analysis	Filing volume time-series and S-curve lifecycle
white-space-mapping	Feature cross-matrix and blank area identification
claim-parsing	Claim syntax parsing and element extraction
legal-status-assessment	Determine patent legal status (active/expired/pending)
quality-scoring	Multi-dimensional patent quality assessment
patent-synthesis	Produce final structured intelligence report
saturation-detection	(shared) Determine when search expansion has saturated

Budget Table

Strategy	Patent Families	Claim Parses	Web Searches
landscape-survey	200	0	80
prior-art-search	80	20	50
white-space-analysis	150	10	60
competitive-intelligence	120	15	40
claim-analysis	30	30	20

MCP Tools

Server	Tools Used	Purpose
brave-search	brave_web_search, brave_llm_context	Patent database web search, patent office queries
apify	google_scholar_scraper	Academic patent literature discovery
alphaxiv	full_text_papers_search, get_paper_content	Patent-related academic papers
semantic-scholar	ss_relevance_search, ss_citations, ss_references	Citation network for patent-adjacent literature

Context Management

State file: Each strategy maintains a state ledger tracking progress against budget
Deduplication: Patent families are deduplicated by priority number across strategies
Saturation: Uses shared saturation-detection SOP to determine when citation/classification expansion has converged
Output: Final deliverable is a structured patent intelligence report produced by patent-synthesis SOP

Available Strategies

Optional, no fixed order; the final leaf is always a sop.

Strategy	When to use
claim-analysis	Deep claim scope analysis — decompose independent/dependent claims and assess protection scope breadth. Budget: 30 patent families, 30 claim parses, 20 web searches.
competitive-intelligence	Analyze competitor IP portfolios — comparative patent portfolio reports with strategy inference. Budget: 120 patent families, 15 claim parses, 40 web searches.
landscape-survey	Patent landscape full-scan — maps technology domain via assignee ranking, IPC/CPC classification, filing trends. Budget: 200 patent families, 0 claim parses, 80 web searches.
prior-art-search	Evaluate novelty of specific invention — find relevant prior art across patents, publications, and products. Budget: 80 patent families, 20 claim parses, 50 web searches.
white-space-analysis	Identify patent coverage gaps — feature cross-matrix blank areas revealing unprotected technology combinations. Budget: 150 patent families, 10 claim parses, 60 web searches.

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP	When to use
context-checkpoint	Append research process and results to the current Phase's context file. Each append MUST contain >=500 lines of markdown covering both process and results. Use this skill at plan-designated checkpoint points — typically after each strategy completes or at key decision nodes within a research Phase.
context-init	Create a new context file for a research Phase. Called once at Phase start to initialize the file that subsequent context-checkpoint calls will append to. Use this skill whenever a new research Phase begins and a fresh context file is needed.