SkillsLib.ai

Criminal Network Mapping & Relationship Analysis

Extract criminal networks from intelligence docs and map key suspects, hierarchies & vulnerabilities

3.7(30 reviews)
100+ downloads
Updated Nov 2026
Verified SafeSecurity VerifiedThis skill was analyzed by our AI security scanner for harmful content including data exfiltration, system manipulation, credential theft, and prompt injection. No threats were detected.

What You Can Do

You can rapidly consolidate intelligence from multiple sources—arrest records, communications intercepts, financial transactions, surveillance reports—into structured relationship diagrams. Claude systematically extracts entities (persons, organizations, locations), identifies relationship types (supervision, financial flows, communication), assigns confidence levels, and organizes findings in formats ready for visualization tools or tactical briefings. This lets you quickly reveal organizational hierarchies, detect hidden connections, and prioritize investigation targets based on network position and operational vulnerability.

Features

Entity extraction

automatically identifies persons, organizations, locations, and methods from unstructured intelligence documents

Relationship mapping

discovers and categorizes connections (supervision, financial flows, communication, association) with confidence scoring

Hierarchical analysis

reveals organizational structure, key decision-makers, and command chains within criminal networks

Vulnerability identification

highlights critical nodes, bottlenecks, and operational dependencies that inform investigation strategy

Multi-source consolidation

synthesizes intelligence from 5+ disparate sources (case files, intercepts, financial records, social media) into unified network view

Confidence assessment

flags relationship strength and evidence basis to distinguish strong leads from speculative connections

Timeline analysis

tracks network changes and evolution over specific time periods to identify new players or structural shifts

Investigation prioritization

ranks suspects by network centrality, influence, and operational criticality for resource allocation

Example Output

Input: Three intelligence reports on suspected drug distribution network

Output:

code
KEY NODES (Ranked by Centrality):
1. Marcus T. (Subject ID: 2847) — Network Hub
   - Role: Distribution Coordinator
   - Confidence: High (95%)
   - Connections: 12 direct, 34 secondary
   
2. James R. (Subject ID: 1923) — Financial Manager
   - Role: Money Laundering
   - Confidence: Medium-High (78%)
   - Connections: 8 direct, 22 secondary

RELATIONSHIPS:
- Marcus T. → James R.: Financial transactions ($47K traced), Confidence: High
- Marcus T. → Victor L.: Supervision/command, Confidence: High
- James R. → Offshore Account (Cayman Islands): Money movement, Confidence: Medium

VULNERABILITIES:
- Single financial control point (James R.) — disruption would fragment laundering capability
- Communication hub dependency (Marcus T.) — removal would fracture network coordination
- Limited redundancy in supply chain between distribution and wholesale tier

What's Included

  • SKILL.md: Complete skill definition and usage guidelines
  • Intelligence extraction template: Standardized format for documenting entities and relationships with confidence ratings
  • Network analysis framework: Methodology for assessing organizational structure, key players, and vulnerabilities
  • Relationship confidence matrix: Evidence criteria and scoring system for connection strength assessment
  • Investigation prioritization checklist: Criteria for ranking suspects by network position and operational impact

Who It's For

  • Crime analysts — consolidating multi-source intelligence into actionable network maps for investigation planning
  • Law enforcement detectives — identifying key suspects and connection patterns to guide search warrant targets and arrest priorities
  • Intelligence officers — revealing organizational structures and operational vulnerabilities in criminal enterprises
  • Organized crime task forces — tracking network evolution and detecting infiltration or leadership changes over time
  • Prosecutor support teams — building structured relationship evidence for court testimony and indictment justification

Best For

  • Consolidating intelligence from 5+ disparate sources into unified relationship diagrams
  • Identifying hidden connections and secondary relationships between seemingly unrelated subjects
  • Prioritizing investigation targets based on network centrality and operational criticality
  • Preparing network maps and vulnerability assessments for search warrant justifications
  • Detecting organizational changes and new key players entering established criminal groups
  • Assessing threat levels and supporting resource allocation decisions

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