Agent Plugins Marketplace
All plugins

customer-success-analytics

v0.2.1

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.

Claude Code5 Skills

By Matt CorbettLicense: MIT7 GitHub starsUpdated last week

Directory evidence

Runtimes
Claude Code
Parsed components
5 skill or MCP entries
Source updated
Sep 15, 2026
Manifest status
Canonical path parsed

The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology

Install customer-success-analytics for Claude Code

Installs for the current user
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install customer-success-analytics@agent-plugin-marketplace

Paste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.

The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.

Get the source manually
git clone https://github.com/mcorbett51090/RavenClaude

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/customer-success-analytics/.

Plugin files

plugins/customer-success-analytics/
├── .claude-plugin/plugin.json
├── skills/account-expansion-signal-design/SKILL.md
├── skills/churn-signal-backtest/SKILL.md
├── skills/cs-metric-audit/SKILL.md
├── skills/health-tier-design/SKILL.md
└── skills/renewal-workflow-design/SKILL.md

Included Skills5

account-expansion-signal-designskills/account-expansion-signal-design/SKILL.md

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 view and an expansion-opportunity view from the same health mart.

churn-signal-backtestskills/churn-signal-backtest/SKILL.md

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 to tune thresholds.

cs-metric-auditskills/cs-metric-audit/SKILL.md

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 numbers don't match what they expect.

health-tier-designskills/health-tier-design/SKILL.md

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 that has stopped predicting outcomes, or deciding how a Red account should explain itself. Domain-neutral — generalized from the EdTech partner-health-scoring pattern; no vertical assumptions.

renewal-workflow-designskills/renewal-workflow-design/SKILL.md

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 skill when designing how at-risk renewals surface and what fires when, or when a renewal that should be safe shows no movement. Domain-neutral — generalized from the EdTech renewal-play-design pattern; no vertical assumptions.

Plugin manifests1

plugins/customer-success-analytics/.claude-plugin/plugin.json
{
  "name": "customer-success-analytics",
  "version": "0.2.1",
  "description": "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.",
  "author": {
    "name": "Matt Corbett"
  },
  "homepage": "https://github.com/mcorbett51090/RavenClaude",
  "license": "MIT",
  "keywords": [
    "customer-success",
    "cs-analytics",
    "churn",
    "churn-prediction",
    "health-score",
    "renewal",
    "account-health",
    "leading-indicators",
    "nrr",
    "identity-resolution",
    "snowflake",
    "sigma"
  ],
  "requires": {
    "plugins": [
      "ravenclaude-core@>=0.7.0"
    ]
  }
}

If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.

[customer-success-analytics on Agent Plugins Marketplace](https://pluginsmp.com/plugins/customer-success-analytics)