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chief-customer-officer-advisor

Chief Customer Officer advisory for startups: retention decomposition (gross retention vs NRR honesty, churn root-cause taxonomy), customer segmentation strategy (differential investment across tiers + ICP fit scoring), CS team coverage model (pooled vs named CSM thresholds + ratio math), and CS team org evolution (CS vs Support vs AM distinctions). Use when designing retention strategy, segmenting customers for differential investment, sizing CS team, or sequencing CS hires. Strategic only — does not duplicate engineering/business-growth tactical skills.

65

Quality

82%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is chief-customer-officer-advisor in alirezarezvani/claude-skills

SKILL.md
Quality
Evals
Security

Quality

Content

67%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 a well-organized strategic overview with concrete commands, benchmark tables, and clearly signaled one-level-deep references — but the referenced scripts and reference files do not exist in the bundle, breaking the skill's executable and navigational promises. The Keywords section is the main in-body token waste.

Suggestions

Ship the referenced bundle files (scripts/retention_decomposition_analyzer.py, scripts/customer_segmentation_designer.py, scripts/cs_coverage_calculator.py, and the four references/*.md files) or remove the references to them — as delivered, every command and reference link in the body is dangling.

Cut the ~50-item Keywords section; trigger vocabulary belongs in the frontmatter description, and the body's token budget is better spent on content Claude doesn't already know.

Add explicit validation checkpoints to the workflows (e.g., verify cohorts.json covers 8 quarters of closed/won data before running the decomposition, or re-check the kill list against current ARR before handing it to sales).

DimensionReasoningScore

Conciseness

The bulk of the body is dense, high-signal tables and benchmarks, but the ~50-entry Keywords section ("CCO, chief customer officer, customer success, retention strategy, gross retention, net retention, NRR, GRR, logo retention...") duplicates the description's triggering job and adds nothing Claude needs, and the boundary statement repeats the frontmatter verbatim. This fits the mostly-efficient-with-unnecessary-content anchor; it is not a 2 because the core content is tight and free of concept re-teaching.

3 / 5

Actionability

Guidance is concrete and executable as written: exact commands ("python scripts/retention_decomposition_analyzer.py path/to/cohorts.json"), specific thresholds ("≥ 90% at growth stage; ≥ 95% at scale"), and defined outputs per workflow. It stops short of a 5 because the invoked paths dangle — no scripts/ or references/ directories exist in the bundle, so the copy-paste commands fail as shipped.

4 / 5

Workflow Clarity

Each workflow has a stated goal, a numbered/bash-commented sequence, cross-check checkpoints ("Cross-check with cs-chro-advisor on comp + leveling"), and a defined output ("Output: top-3 leakage points + 90-day mitigation plan"). These are analytical, non-destructive operations so the validation cap does not apply, but there are no explicit input-verification or error-recovery steps, which keeps it below the 5 anchor.

4 / 5

Progressive Disclosure

The body is well structured for disclosure: each responsibility section signals a one-level-deep reference ("See `references/retention_decomposition.md` for the 7-category churn taxonomy + leading indicator playbook") and a dedicated References section summarizes all four files. However, the actual bundle contains no references/, scripts/, or assets/ directories, so every referenced path is broken — scoring against the real bundle structure, this drops it from the 5 anchor to the good-structure-with-minor-gaps anchor.

4 / 5

Total

15

/

20

Passed

Description

92%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 frontmatter description: it names four concrete advisory capabilities, gives an explicit and specific "Use when" trigger clause, and actively de-scopes adjacent tactical skills to reduce conflict risk. The only weakness is that a few natural synonyms ("customer success", spelled-out retention-rate terms) are missing or abbreviated.

DimensionReasoningScore

Specificity

The description enumerates all four capability pillars with concrete sub-capabilities: "retention decomposition (gross retention vs NRR honesty, churn root-cause taxonomy)", "customer segmentation strategy (differential investment across tiers + ICP fit scoring)", "CS team coverage model (pooled vs named CSM thresholds + ratio math)", and "CS team org evolution (CS vs Support vs AM distinctions)". This matches the anchor for multiple specific concrete actions with comprehensive coverage; it is not a 4 because there are no gaps — each pillar is named with its concrete mechanics.

5 / 5

Completeness

The "what" is explicit (four named advisory areas with concrete mechanics) and the "when" is an explicit trigger clause: "Use when designing retention strategy, segmenting customers for differential investment, sizing CS team, or sequencing CS hires." Both what and when are answered clearly with concrete trigger phrases, matching the 5 anchor; a 4 would require the when clause to be only vaguely specified, which it is not.

5 / 5

Trigger Term Quality

Good natural-term coverage: "Chief Customer Officer", "retention strategy", "segmenting customers", "sizing CS team", "sequencing CS hires", "NRR", "churn", "pooled vs named CSM". It falls short of the 5 anchor because several phrasings a user would naturally say are missing or abbreviated — "customer success" is never spelled out, and "net revenue retention"/"gross revenue retention" appear only as NRR, and "churn rate" is absent.

4 / 5

Distinctiveness Conflict Risk

A clear CCO niche with distinct triggers ("sizing CS team", "sequencing CS hires") and an explicit de-scoping boundary: "Strategic only — does not duplicate engineering/business-growth tactical skills." NRR/retention language carries minor overlap risk with a revenue/CRO skill, but the explicit boundary claim and role-specific triggers place this at the clear-niche anchor rather than the minor-overlap anchor (4).

5 / 5

Total

19

/

20

Passed

Validation

87%

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

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 4 missing

Warning

referenced_paths_exist

Referenced path issues: 17 missing

Warning

Total

14

/

16

Passed

Repository

alirezarezvani/claude-skills

Path

.gemini/skills/skills-chief-customer-officer-advisor/SKILL.md

Reviewed

Table of Contents

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