landscape-survey

Research

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.

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

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Landscape Survey

Full-scan patent landscape analysis. Maps the technology domain by identifying key assignees, classifying by IPC/CPC taxonomy, and analyzing filing trends over time.

Purpose

Produce a comprehensive patent landscape map for a given technology domain, answering: Who are the key players? What are the main technology branches? How is filing activity trending?

Budget

Metric	Target
Patent families analyzed	200
Claim parses	0
Web searches completed	80

State Ledger

Metric	Target	%
Patent families analyzed	200	0%
Web searches completed	80	0%
Assignees identified	—	—
IPC/CPC classes mapped	—	—

HARD-GATE: Cannot exit iteration loop until 80% of patent families (160) and web searches (64) budget met.

Available Tactics

Tactic	When to Use
patent-family-tracing	Expand from seed patents to full family coverage
classification-navigation	Drill into IPC/CPC hierarchy to find all relevant subclasses

Available SOPs

SOP	Role in This Strategy
patent-query-formulation	Generate initial search queries for the domain
patent-categorization	Classify discovered patents into technology sub-domains
assignee-normalization	Standardize assignee names across patent offices
trend-analysis	Analyze filing volume time-series and lifecycle curves
quality-scoring	Rank patent families by quality metrics
saturation-detection	Check if landscape scan has converged
patent-synthesis	Produce final landscape report

Execution Guidance

Query formulation — Use patent-query-formulation to generate keyword + IPC/CPC + assignee search strategies
Broad search — Execute web searches across patent databases (Google Patents, Espacenet, USPTO)
Family tracing — Use patent-family-tracing tactic to expand from top results
Classification drill — Use classification-navigation tactic to find related technology branches
Categorization — Classify all found patents using patent-categorization
Assignee normalization — Standardize names with assignee-normalization
Trend analysis — Run trend-analysis on the full dataset
Saturation check — Use saturation-detection to confirm convergence
Synthesis — Produce final report with patent-synthesis

Output Format

# Patent Landscape Report: [Technology Domain]

## Executive Summary
[Key findings in 3-5 bullets]

## Top Assignees (ranked by family count)
| Rank | Assignee | Families | Key IPC Classes |
|------|----------|----------|-----------------|

## Technology Classification Map
[IPC/CPC hierarchy with patent counts per node]

## Filing Trends
[Time-series data: year, total filings, top assignee filings]

## Technology Clusters
[Grouped by application domain / technology branch]

## Appendix: Full Patent Family List
[Structured table of all 200 families]

Available Tactics

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

Tactic	When to use
classification-navigation	IPC/CPC hierarchy drill-down and lateral expansion for patent discovery
patent-family-tracing	Forward/backward patent citation and priority tracing until saturation

Available SOPs

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

SOP	When to use
assignee-normalization	Standardize assignee names and identify corporate group affiliations across patent offices
knowledge-acquisition-saturation-detection	Determine when additional searching yields diminishing returns. Analyzes the latest expansion batch against existing corpus to judge continue/near-saturation/saturated. Used by snowball and systematic-survey.
patent-categorization	Classify patents by tech subdomain, application scenario, and value chain position
patent-query-formulation	Construct keyword + IPC/CPC + assignee combination search strategies for patent databases
patent-synthesis	Produce final structured patent intelligence report from all analysis results
quality-scoring	Multi-dimensional patent quality assessment — forward citations, family size, claim count, geographic breadth
trend-analysis	Patent filing volume time-series, technology lifecycle stage, and S-curve analysis