Name: cdo-review
Rating: 68.8 (1 reviews)
Author: alirezarezvani

cdo-review

/cs:cdo-review <plan> — Decision-driven Chief Data Officer interrogation of any plan that touches training data, data architecture, data productization, or data team hiring. Use when validating training-data rights before model work, choosing warehouse vs lakehouse vs mesh, or valuing data assets for productization or M&A.

Quality

83%

Does it follow best practices?

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Securityby

Passed

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The canonical home for this skill is cdo-review in alirezarezvani/claude-skills

Quality

Content

78%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.

A well-structured, actionable review skill with concrete heuristics, script commands, and an output template. Main improvement area is making validation checkpoints explicit in the workflow rather than implied by the output template.

Suggestions

Add an explicit validation step in the Workflow (e.g., 'If the audit returns NO-GO sources, route the verdict to BLOCK and do not proceed') so error-recovery is a real checkpoint, not just implied by the output template.

Tighten the intro paragraph and a few explanatory bullets to remove content that restates the description or states general truisms Claude already knows.

Clarify that the referenced scripts (ai_training_data_audit.py, data_product_strategy_picker.py, data_asset_valuator.py) reside in the external chief-data-officer-advisor skill, or vendor copies into a local scripts/ bundle so the commands are self-contained.

Dimension	Reasoning	Score
Conciseness	Lean six-question structure with tight bullets and no over-explanation of concepts Claude already knows; a few descriptive lines (e.g. the intro restating the description, 'Premature architecture choice is the #1 cause of data-team burnout') could be trimmed.	4 / 5
Actionability	Provides concrete decision heuristics ('<5 consumers: warehouse-only; 5-25: lakehouse; 25+: mesh'), explicit script invocations with arguments, and a full output template; minor gap is that the referenced scripts live in an external skill directory rather than a local bundle.	4 / 5
Workflow Clarity	Clear conditional workflow (run audit if ML use case, architecture picker if changing stack, valuator if productizing) sequenced after the six questions, with a structured output template; validation/error-recovery checkpoints are only implicit rather than explicit.	4 / 5
Progressive Disclosure	Single well-organized file with clearly signaled one-level-deep cross-references in the Related/Routing sections and no nested reference chains; content is appropriately inline for a skill of this size.	5 / 5
	Total	17 / 20 Passed

Description

88%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, specific description that clearly states what the skill does and when to use it, with natural trigger terms and a well-scoped niche. Only minor gains available in trigger-term synonym coverage and adjacent-skill disambiguation.

Dimension	Reasoning	Score
Specificity	Names the domain and multiple concrete decision areas — 'training data, data architecture, data productization, or data team hiring' plus 'warehouse vs lakehouse vs mesh' and 'valuing data assets' — giving comprehensive coverage of the CDO decision space.	5 / 5
Completeness	Explicitly answers both 'what' (decision-driven CDO interrogation of a plan) and 'when' with a concrete 'Use when validating... choosing... or valuing...' trigger clause.	5 / 5
Trigger Term Quality	Includes natural phrases a user would say ('training-data rights', 'warehouse vs lakehouse vs mesh', 'valuing data assets', 'M&A') with good synonym coverage, though a few common variations are absent.	4 / 5
Distinctiveness Conflict Risk	Occupies a clear CDO-specific niche with distinct triggers, with only minor overlap risk against adjacent c-level advisor skills (gc-review, ciso-review).	4 / 5
	Total	18 / 20 Passed

Validation

93%

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 — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
relative_links	Relative link issues: 2 suspicious	Warning

	Total	15 / 16 Passed

Repository: alirezarezvani/claude-skills
Path: .gemini/skills/cdo-review/SKILL.md
Commit: 19392f7

Reviewed: 4 minutes ago

Table of Contents

Discovery Implementation Validation

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