Zurück zu Fähigkeiten

assess-ip-landscape

pjt222
Aktualisiert 2 days ago
7 Ansichten
17
2
17
Auf GitHub ansehen
Designai

Über

Diese Fähigkeit analysiert das geistige Eigentumsumfeld für einen bestimmten Technologiebereich und führt Aufgaben wie Patentcluster-Analyse und Bewertung von Wettbewerber-Portfolios durch. Sie ist für den Einsatz vor Beginn von F&E oder der Markteinführung eines Produkts konzipiert, um Freiräume zu identifizieren und Freedom-to-Operate-Risiken zu bewerten. Entwickler können sie nutzen, um die Patentstrategie zu informieren und vorläufige Due-Diligence-Prüfungen durchzuführen.

Schnellinstallation

Claude Code

Empfohlen
Primär
npx skills add pjt222/agent-almanac -a claude-code
Plugin-BefehlAlternativ
/plugin add https://github.com/pjt222/agent-almanac
Git CloneAlternativ
git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/assess-ip-landscape

Kopieren Sie diesen Befehl und fügen Sie ihn in Claude Code ein, um diese Fähigkeit zu installieren

Dokumentation

Assess IP Landscape

Map the intellectual property landscape for a technology area — identify patent clusters, white spaces, key players, and freedom-to-operate risks. Produces a strategic assessment that informs R&D direction, licensing decisions, and IP filing strategy.

When to Use

  • Before starting R&D in a new technology area (what's already claimed?)
  • Evaluating a market entry where incumbents have strong patent portfolios
  • Preparing for investment due diligence (IP asset assessment)
  • Informing a patent filing strategy (where to file, what to claim)
  • Assessing freedom-to-operate risk for a new product or feature
  • Monitoring competitor IP activity for strategic positioning

Inputs

  • Required: Technology domain or product area to assess
  • Required: Geographic scope (US, EU, global)
  • Optional: Specific competitors to focus on
  • Optional: Own patent portfolio (for gap analysis and FTO)
  • Optional: Time horizon (last 5 years, last 10 years, all time)
  • Optional: Classification codes (IPC, CPC) if known

Procedure

Step 1: Define the Search Scope

Establish the boundaries of the landscape analysis.

  1. Define the technology domain precisely:
    • Core technology area (e.g., "transformer-based language models" not "AI")
    • Adjacent areas to include (e.g., "attention mechanisms, tokenization, inference optimization")
    • Areas to explicitly exclude (e.g., "computer vision transformers" if focusing on NLP)
  2. Identify relevant classification codes:
    • IPC (International Patent Classification) — broad, used worldwide
    • CPC (Cooperative Patent Classification) — more specific, US/EU standard
    • Search WIPO's IPC publication or USPTO's CPC browser
  3. Define the geographic scope:
    • US (USPTO), EU (EPO), WIPO (PCT), specific national offices
    • Most analyses start with US + EU + PCT for broad coverage
  4. Set the time window:
    • Recent activity: last 3-5 years (current competitive landscape)
    • Full history: 10-20 years (mature technology areas)
    • Watch for expired patents that open up design space
  5. Document the scope as the Landscape Charter

Got: A clear, bounded scope that is specific enough to produce actionable results but broad enough to capture the relevant competitive landscape. Classification codes identified for systematic search.

If fail: If the technology domain is too broad (thousands of results), narrow by adding technical specificity or focusing on a specific application area. If too narrow (few results), broaden to adjacent technologies. The right scope yields 100-1000 patent families.

Step 2: Harvest Patent Data

Collect the patent data within the defined scope.

  1. Query patent databases using the Landscape Charter:
    • Free databases: Google Patents, USPTO PatFT/AppFT, Espacenet, WIPO Patentscope
    • Commercial databases: Orbit, PatSnap, Derwent, Lens.org (freemium)
    • Combine keyword search + classification codes for best coverage
  2. Build search queries systematically:
Query Construction:
+-------------------+------------------------------------------+
| Component         | Example                                  |
+-------------------+------------------------------------------+
| Core keywords     | "language model" OR "LLM" OR "GPT"       |
| Technical terms   | "attention mechanism" OR "transformer"    |
| Classification    | CPC: G06F40/*, G06N3/08                  |
| Date range        | filed:2019-2024                          |
| Assignee filter   | (optional) specific companies            |
+-------------------+------------------------------------------+
  1. Download results in structured format (CSV, JSON) including:
    • Patent/application number, title, abstract, filing date
    • Assignee/applicant, inventor(s)
    • Classification codes, citation data
    • Legal status (granted, pending, expired, abandoned)
  2. Deduplicate by patent family (group national filings of the same invention)
  3. Record the total patent family count and source databases

Got: A structured dataset of patent families within scope, deduplicated and timestamped. The dataset is the foundation for all subsequent analysis.

If fail: If database access is limited, Google Patents + Lens.org (free) provide good coverage. If the query returns too many results (>5000), add technical specificity. If too few (<50), broaden keywords or add classification codes.

Step 3: Analyze the Landscape

Map the patent clusters, key players, and trends.

  1. Cluster analysis: Group patents by sub-technology:
    • Use classification codes or keyword clustering to identify 5-10 sub-areas
    • Count patent families per cluster
    • Identify which clusters are growing (recent filing surges) vs. mature (flat or declining)
  2. Key player analysis: Identify the top 10 assignees by:
    • Total patent family count (portfolio breadth)
    • Recent filing rate (last 3 years — current activity)
    • Average citation count (patent quality proxy)
    • Geographic filing breadth (US-only vs. global filings)
  3. Trend analysis: Chart filing trends over the time window:
    • Overall filing volume by year
    • Filing volume by cluster by year
    • New entrants (assignees filing for the first time in the domain)
  4. Citation network: Identify the most-cited patents (foundational IP):
    • High forward citations = heavily relied upon by subsequent filings
    • These are likely blocking patents or essential prior art
  5. Produce the Landscape Map: clusters, players, trends, and key patents

Got: A clear picture of who owns what, where the activity is concentrated, and how the landscape is evolving. Key blocking patents identified. White spaces (areas with few filings) visible.

If fail: If the dataset is too small for meaningful clustering, combine clusters into broader groups. If one assignee dominates (>50% of filings), analyze their portfolio as a separate sub-landscape.

Step 4: Identify White Spaces and Risks

Extract strategic insights from the landscape.

  1. White space analysis (opportunities):
    • Technology areas within scope with few or no patent filings
    • Expired patent families where the design space has reopened
    • Active areas where only one player has filed (first-mover but no competition)
    • White spaces adjacent to growing clusters (next frontier)
  2. FTO risk screening (threats) — adapted from heal triage matrix:
    • Critical: Granted patents directly covering your planned product/feature
    • High: Pending applications likely to grant with relevant claims
    • Medium: Granted patents in adjacent areas that could be broadly interpreted
    • Low: Expired patents, narrow claims, or geographically irrelevant filings
  3. Competitive positioning:
    • Where does your portfolio (if any) sit relative to competitors?
    • Which competitors have blocking positions in your target areas?
    • Which competitors might be interested in cross-licensing?
  4. Produce the Strategic Assessment: white spaces, FTO risks, positioning, and recommendations

Got: Actionable strategic recommendations: where to file, what to avoid, who to watch, and what risks need detailed FTO analysis.

If fail: If FTO risks are identified, this screening is preliminary — it does NOT replace a formal FTO opinion from a patent attorney. Flag critical risks for legal review. If white spaces seem too good (a valuable area with no filings), verify the search scope didn't accidentally exclude relevant filings.

Step 5: Document and Recommend

Package the landscape assessment for decision-makers.

  1. Write the Landscape Report with sections:
    • Executive summary (1 page: key findings, top risks, main recommendations)
    • Scope and methodology (search terms, databases, date range)
    • Landscape overview (clusters, trends, key players with visualizations)
    • White space analysis (opportunities ranked by strategic value)
    • Risk assessment (FTO concerns ranked by severity)
    • Recommendations (filing strategy, licensing targets, monitoring alerts)
  2. Include supporting data:
    • Patent family list (structured, sortable)
    • Cluster map (visual)
    • Filing trend charts
    • Key patent summaries (top 10-20 most relevant patents)
  3. Set up ongoing monitoring:
    • Define alert queries for new filings in critical areas
    • Set review cadence (quarterly for active areas, annually for stable ones)

Got: A complete landscape report that enables strategic IP decisions. The report is evidence-based, clearly scoped, and actionable.

If fail: If the report is too large, produce the executive summary first and offer detailed sections on request. The executive summary should always stand alone as a decision document.

Validation Checklist

  • Landscape Charter defines scope, classification, geography, and time window
  • Patent dataset harvested from multiple databases and deduplicated
  • Clusters identified with filing counts and trend direction
  • Top 10 key players profiled with portfolio metrics
  • White spaces identified and ranked by strategic value
  • FTO risks screened and classified by severity
  • Key blocking patents identified with citation analysis
  • Recommendations are specific and actionable
  • Limitations acknowledged (screening vs. formal FTO opinion)
  • Monitoring alerts defined for ongoing landscape tracking

Pitfalls

  • Too broad a scope: "AI patents" is not a landscape — it's an ocean. Be specific about the technology and application
  • Single-database reliance: No single patent database has complete coverage. Use at least two sources
  • Ignoring patent families: Counting individual filings instead of families inflates the numbers. One invention filed in 10 countries is one patent family, not ten
  • Confusing applications with grants: A pending application is not an enforceable right. Distinguish between granted patents and published applications
  • White space misinterpretation: An empty area might mean "nobody tried" or "everybody tried and failed." Investigate before assuming opportunity
  • Landscape as legal opinion: This skill produces strategic intelligence, not legal advice. FTO risks flagged here need formal analysis by patent counsel

Related Skills

  • search-prior-art — Detailed prior art search for specific inventions or patent validity challenges
  • screen-trademark — Trademark conflict screening and distinctiveness analysis for the trademark side of IP landscapes
  • file-trademark — Trademark filing procedures for EUIPO, USPTO, and Madrid Protocol
  • security-audit-codebase — Risk assessment methodology parallels IP risk screening
  • review-research — Literature review skills apply to prior art analysis

GitHub Repository

pjt222/agent-almanac
Pfad: i18n/caveman-lite/skills/assess-ip-landscape
0
agentsagentskillsai-assisted-developmentclaude-codeskillsteams

Verwandte Skills

executing-plans

Design

Verwenden Sie die Fähigkeit "executing-plans", wenn Sie einen vollständigen Implementierungsplan zur Ausführung in kontrollierten Batches mit Überprüfungspunkten vorliegen haben. Sie lädt den Plan und überprüft ihn kritisch, führt dann Aufgaben in kleinen Batches (standardmäßig 3 Aufgaben) aus und meldet den Fortschritt zwischen jedem Batch zur Überprüfung durch den Architekten. Dies gewährleistet eine systematische Implementierung mit integrierten Qualitätskontrollpunkten.

Skill ansehen

requesting-code-review

Design

Diese Fähigkeit sendet einen Unteragenten für Code-Review, um Codeänderungen anhand der Anforderungen zu analysieren, bevor fortgefahren wird. Sie sollte nach dem Abschließen von Aufgaben, der Implementierung größerer Funktionen oder vor dem Zusammenführen in den Hauptzweig verwendet werden. Die Überprüfung hilft dabei, Probleme frühzeitig zu erkennen, indem die aktuelle Implementierung mit dem ursprünglichen Plan verglichen wird.

Skill ansehen

connect-mcp-server

Design

Diese Fähigkeit bietet Entwicklern eine umfassende Anleitung, um MCP-Server über HTTP-, stdio- oder SSE-Transports mit Claude Code zu verbinden. Sie behandelt Installation, Konfiguration, Authentifizierung und Sicherheit für die Integration externer Dienste wie GitHub, Notion und benutzerdefinierter APIs. Nutzen Sie sie beim Einrichten von MCP-Integrationen, bei der Konfiguration externer Tools oder bei der Arbeit mit Claude's Model Context Protocol.

Skill ansehen

web-cli-teleport

Design

Diese Fähigkeit unterstützt Entwickler bei der Wahl zwischen Claude Code Web- und CLI-Schnittstellen basierend auf Aufgabenanalysen und ermöglicht nahtloses Session-Teleporting zwischen diesen Umgebungen. Sie optimiert den Workflow, indem sie den Sitzungsstatus und Kontext beim Wechsel zwischen Web, CLI oder Mobilgeräten verwaltet. Nutzen Sie sie für komplexe Projekte, die in verschiedenen Phasen unterschiedliche Werkzeuge erfordern.

Skill ansehen