identity-resolution plugins

by Matt Corbett

Customer-Success analytics team — specialist agents (cs-analytics-architect, churn-signal-analyst) that own the DOMAIN layer of a CS-health analytics build: the conformed account / health-snapshot / renewal data model, which signals compose the health view, and the transparent rule-based Green/Yellow/Red risk tier (every Red shows why) — no black-box ML in phase one. Domain-neutral: it sits on top of data-platform's pipeline/warehouse/connector layer (which it routes all plumbing to) rather than duplicating it. skills, best-practice rules, a knowledge bank (CS-health/churn signals, renewal lifecycle, NRR/GRR retention metrics, consolidated + risk-tier-escalation Mermaid decision trees), a scenarios bank (field notes), a stdlib cs_calc.py (NRR-GRR + weighted health-score + renewal-risk), and data-model + tier-design templates whose identity spine points at data-platform. Pairs with data-platform; seams to salesforce / tableau / edtech-partner-success. Requires ravenclaude-core@>=0.7.0.

by Matt Corbett

Data-platform team — agents (database-setup-guide, etl-pipeline-engineer, dashboard-builder, connector-developer) for cloud DBs, ELT (Airbyte / Fivetran / n8n) with connectors for QuickBooks / Stripe / Salesforce / HubSpot / GA4 / Shopify / HRIS / Planhat / Intercom / Slack-as-source plus 8-vendor support-tool integration coverage (Zendesk, Freshdesk, Intercom Conv+Tkt, SFDC Service Cloud, JSM, HubSpot Service, Help Scout, Front + 2026 Fivetran connector-MAR build-vs-buy math), and embedded dashboards (Evidence.dev / Superset / Metabase / Cube + Tremor). skills (incl. support-ticket-normalization — conformed fct_ticket / fct_conversation_event over 8 vendors; cross-system-identity-resolution — the Salesforce↔Planhat↔Intercom↔Slack account spine), templates, a knowledge bank, best-practices. Opinionated against per-viewer-priced BI for greenfield SMB. Requires ravenclaude-core@>=0.7.0.

by Matt Corbett

Martech / event-instrumentation & CDP team — agents (event-taxonomy-architect, instrumentation-engineer) for the ENGINEERING of event collection: the tracking plan / event taxonomy (object-action naming), the identity model (anonymous → known, stitching), CDP & collection-architecture selection (Segment, RudderStack, Snowplow, mParticle; client vs server vs hybrid; warehouse-first / reverse-ETL via Hightouch / Census), and consent & privacy-by-design (Consent Mode, IAB TCF, GPC) plus destination wiring. skills (design-a-tracking-plan, choose-cdp-and-collection-architecture, implement-event-instrumentation-and-consent), a knowledge bank + templates. Distinct from marketing-operations (campaign strategy), analytics-engineering (dbt models events downstream), experimentation-growth-engineering (runs tests on them), data-governance-privacy (org policy/DSAR), and data-platform (warehouse) — the event-collection layer they sit on. Requires ravenclaude-core@>=0.7.0.