customer-success-manager

Monitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models for SaaS customer success. Use when analyzing customer accounts, reviewing retention metrics, scoring at-risk customers, or when the user mentions churn, customer health scores, upsell opportunities, expansion revenue, retention analysis, or customer analytics. Runs three Python CLI tools to produce deterministic health scores, churn risk tiers, and prioritized expansion recommendations across Enterprise, Mid-Market, and SMB segments.

Quality

92%

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Quality

Content

85%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is highly actionable and well-structured with explicit validation checkpoints in a batch workflow, and progressive disclosure is cleanly handled via real reference/template files. The main weakness is redundant command examples repeated across the Quick Start and per-script Usage sections.

Suggestions

Remove the duplicate per-script Usage command blocks in the Scripts section since the same invocations already appear in Quick Start; keep only the dimension/weight/classification detail there.

Trim the marketing phrasing in the intro ("Production-grade") to keep the overview lean and assumption-free.

Consider moving the full dimension-weight tables into the existing references/health-scoring-framework.md and keeping only the headline weights inline, to reduce body tokens.

Dimension	Reasoning	Score
Conciseness	The body is mostly efficient and avoids explaining concepts Claude already knows, but the same `python scripts/X.py ... --format json` commands appear in both Quick Start and again in each Scripts subsection's Usage block, which is noticeable duplication that could be tightened.	3 / 5
Actionability	It provides fully executable, copy-paste-ready bash commands with real script paths and the sample data file, plus an explicit `--format` flag and concrete input schemas, covering the common cases.	5 / 5
Workflow Clarity	The numbered Workflow Integration section sequences each step with a command and an explicit "Verify:" checkpoint, and a dedicated error-handling block supplies a fix-and-retry feedback loop for the batch portfolio operation.	5 / 5
Progressive Disclosure	A clear overview (TOC, Input/Output, How to Use) points to one-level-deep, well-signaled reference and template tables, and all referenced bundle files (references/, assets/, scripts/) were verified to exist, keeping bulk detail out of SKILL.md.	5 / 5
	Total	18 / 20 Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, third-person description that concretely states capabilities, provides explicit "Use when" trigger guidance with natural keywords, and stakes out a distinct customer-success niche. It is somewhat long but every clause earns its place.

Dimension	Reasoning	Score
Specificity	"Monitors customer health, predicts churn risk, and identifies expansion opportunities" plus "Runs three Python CLI tools to produce deterministic health scores, churn risk tiers, and prioritized expansion recommendations" lists multiple concrete actions with comprehensive coverage of the skill's capabilities.	5 / 5
Completeness	It explicitly answers both "what" (monitors health, predicts churn, identifies expansion via three CLI tools) and "when" (a clear "Use when... or when the user mentions..." trigger clause with concrete phrases), satisfying the top anchor.	5 / 5
Trigger Term Quality	The "Use when" clause enumerates natural terms a user would say (churn, customer health scores, upsell opportunities, expansion revenue, retention analysis, customer analytics) along with common action phrasings, giving comprehensive coverage including synonyms.	5 / 5
Distinctiveness Conflict Risk	The SaaS customer-success niche, weighted-scoring framing, named CLI tools, and segment-specific triggers (churn/health/expansion) give it a clear niche with minimal overlap risk against unrelated skills.	5 / 5
	Total	20 / 20 Passed

Validation

100%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: alirezarezvani/claude-skills
Path: business-growth/skills/customer-success-manager/SKILL.md
Commit: 19392f7

Reviewed: ~14 hours ago

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