claude

customer-success-analytics

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 (health-tier-design, renewal-workflow-design — generalized from the EdTech PSM lane into vertical-neutral form), a knowledge bank (CS-health metrics + churn-leading indicators, renewal & account lifecycle), and a code-fenced cs-health-data-model template whose identity-resolution spine points at data-platform. Pairs with data-platform; seams to salesforce / tableau / edtech-partner-success. Requires ravenclaude-core@>=0.7.0.

9 on GitHubby Matt Corbettv0.2.1MITupdated today
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Plugin customer-success-analytics from marketplace ravenclaude in mcorbett51090/RavenClaude. Commands read from the repo's manifest — today.

What it installs

Skills (5)

  • account-expansion-signal-design

    Design the signal set and mart model for an account expansion-readiness view alongside the churn-risk tier — identifying which signals predict expansion, how to surface them without confusing the CS team, and what mart additions are needed. Reach for this skill when a CS team wants both a churn-risk

  • churn-signal-backtest

    Back-test a candidate churn signal or the full tier rule set against historical renewal outcomes to validate predictive strength before the signal enters the production health tier. Reach for this skill when a new signal is proposed, when the tier is misfiring, or after the first full renewal cycle

  • cs-metric-audit

    Audit the metrics published on a CS-health dashboard against the mart layer to identify inconsistencies, stale definitions, missing signals, and metrics that bypass the mart. Reach for this skill before a CS analytics rebuild, during a QBR preparation review, or when a CS leader reports that the num

  • health-tier-design

    Design a transparent, explainable rule-based customer-success health tier (Green/Yellow/Red) from multi-source signals: signal selection, weighting, thresholds, per-signal evidence display, and tuning against actual past churn. Reach for this skill when designing a new health tier, refreshing one th

  • renewal-workflow-design

    Design the renewal-risk workflow and save-play triggers from a health tier plus renewal proximity: the risk = proximity × engagement rule, the renewal watchlist surface, the trigger-to-play mapping, the expand/maintain/recover decision, and the who-do-I-call-today actionability bar. Reach for this s

Subagents (2)

  • churn-signal-analyst

    Use to identify and validate churn-LEADING indicators and turn them into transparent, tunable rule thresholds. NOT for building the data model or warehouse (cs-analytics-architect and data-platform).

  • cs-analytics-architect

    Use this agent to design the unified customer-success-health data model and metric layer on top of an existing warehouse — the conformed account / health-snapshot / renewal / support / signal entities, which signals compose the health view.

View source on GitHub mcorbett51090.github.io

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finance

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23 skills · 7 commands · 7 agents · hooks

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19 skills · 7 commands · 7 agents · hooks · LSP

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17 skills · 5 commands · 6 agents · hooks

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