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Found 7 Skills
Knowledge graph specialist for entity and causal relationship modelingUse when "knowledge graph, graph database, falkordb, neo4j, cypher query, entity resolution, causal relationships, graph traversal, graph-database, knowledge-graph, falkordb, neo4j, cypher, entity-resolution, causal-graph, ml-memory" mentioned.
Research companies, directors, shareholders, and ultimate beneficial ownership in official corporate registries, filings, and offshore datasets. Covers OpenCorporates, UK Companies House and the PSC register, SEC EDGAR, US Secretary of State registries, EU business registers, GLEIF LEI records, OpenOwnership, OpenSanctions, and the ICIJ Offshore Leaks database. Use for KYB, entity resolution, group structure, nominee and shell detection, or finding a person's other directorships.
Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.
Expertise in architecting, implementing, reviewing, and debugging hierarchical matching systems. Use when working with: (1) Two-sided matching (Gale-Shapley, hospital-resident, student-school), (2) Assignment/optimization problems (Hungarian algorithm, bipartite matching), (3) Multi-level hierarchy matching (org charts, taxonomies, nested categories), (4) Entity resolution and record linkage across hierarchies. Triggers: debugging match quality issues, reviewing matching algorithms, translating business requirements into constraints, validating match correctness, architecting new matching systems, fixing unstable matches, resolving constraint violations, diagnosing preference misalignment.
Fill in a company, person, or organization for a CRM from the web, using Tavily, including a CSV of rows the user already has. Identifies the right entity when others share the name, then fills the fields from authoritative sources. Use when the user wants to enrich an account, a spreadsheet, or a pasted list of known names, or says "enrich", "CRM", or "who is". For discovering matches use tavily-list. For a deep comprehensive report use tavily-research.
Deduplicate CRM accounts and contacts and keep them duplicate-free: audit company and person identity, run recurring deduplication plays directly on CRM models, merge safe exact matches, and route uncertain clusters to manual review. Triggers: "deduplicate our CRM accounts", "deduplicate CRM contacts", "our CRM has duplicate people", "merge duplicate contacts in HubSpot", "we keep creating duplicate account records", "merge duplicate companies in HubSpot", "set up recurring CRM deduplication", "review ambiguous duplicates". HubSpot, Salesforce, Attio, Slack, LinkedIn profiles, phone numbers, Cargo project, findRecords, Scoring, Human Review, mergeRecords. Skip when: the request is to add or refresh CRM data rather than merge duplicate records; use crm-enrichment.
Build an entity-relationship link-analysis graph of an investigation — nodes, typed edges carrying source and confidence, aliases, and temporal validity — to expose shared infrastructure, bridging nodes and the real principal behind a frontman. Covers Maltego, Neo4j and Cypher, Gephi, centrality and community detection, and entity resolution. Use when an investigation has outgrown a list and needs a graph, or when asked how a set of people, companies and domains connect. Applies to fraud-ring and shell-network detection, AML and sanctions-evasion analysis, and complex corporate-structure work. Reference at useosint.com/skills/graph-the-network.