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business-analyst

Master modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations.

23

Quality

12%

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SecuritybySnyk

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tessl review fix ./skills/business-analyst/SKILL.md

The canonical home for this skill is business-analyst in sickn33/agentic-awesome-skills

SKILL.md
Quality
Evals
Security

Quality

Content

0%Scale 1-3

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

This skill is essentially a persona description or role profile rather than an actionable skill document. It lists dozens of business analysis topics and capabilities without providing any concrete code, templates, frameworks, or executable guidance. The content is extremely verbose, explaining concepts Claude already understands, while failing to deliver the specific, actionable instructions that would actually help Claude perform business analysis tasks.

Suggestions

Replace the extensive capability listings with 2-3 concrete, executable examples (e.g., a Python script for cohort analysis, a SQL query template for churn prediction, a KPI dashboard specification template).

Add specific workflow sequences with validation checkpoints for common tasks like 'building a revenue dashboard' or 'running an A/B test analysis', including what to verify at each step.

Create actual bundle files (e.g., resources/implementation-playbook.md, resources/kpi-templates.md, resources/sql-patterns.md) with detailed reference material, and keep SKILL.md as a concise overview pointing to them.

Remove the 'Capabilities', 'Behavioral Traits', 'Knowledge Base', and 'Example Interactions' sections entirely — these describe what Claude should be rather than teaching Claude how to do specific tasks.

DimensionReasoningScore

Conciseness

Extremely verbose and padded with content Claude already knows. The massive 'Capabilities' section is essentially a resume listing topics like 'Advanced dashboard creation with Tableau, Power BI, Looker' and 'Machine learning for predictive analytics' — none of which teach Claude anything actionable. The 'Behavioral Traits', 'Knowledge Base', and 'Example Interactions' sections add further bloat without providing executable guidance.

1 / 3

Actionability

The skill contains zero concrete code, commands, templates, or executable examples. It is entirely descriptive — listing capabilities and topics rather than providing specific steps, formulas, SQL queries, Python snippets, dashboard configurations, or any copy-paste-ready artifacts. The 'Response Approach' is a generic 8-step process with no specifics.

1 / 3

Workflow Clarity

The 'Response Approach' lists 8 high-level steps but they are vague abstractions ('Execute comprehensive analysis with statistical rigor') with no validation checkpoints, no error handling, no feedback loops, and no concrete sequencing. There is no guidance on what to do when data quality is poor, when analysis fails, or how to verify results.

1 / 3

Progressive Disclosure

The skill references `resources/implementation-playbook.md` but no bundle files are provided, making this a dead reference. The content is a monolithic wall of bullet-point lists with no meaningful structure separating overview from detail. All the capability listings are inline rather than organized into navigable reference files.

1 / 3

Total

4

/

12

Passed

Description

25%Scale 1-3

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

The description reads more like marketing copy than a functional skill description, relying heavily on buzzwords ('AI-powered,' 'data-driven,' 'master modern') without specifying concrete actions or when to use the skill. It lacks a 'Use when...' clause entirely and covers such a broad domain that it would likely conflict with multiple other skills. The first-person imperative 'Master' and 'Build' framing also deviates from the preferred third-person voice.

Suggestions

Add an explicit 'Use when...' clause with natural trigger terms like 'business analysis,' 'KPI tracking,' 'business metrics,' 'market trends,' or 'strategic planning.'

Replace buzzwords like 'AI-powered analytics' and 'data-driven insights' with concrete actions such as 'Builds KPI dashboards, forecasts revenue trends, analyzes market data, generates executive summaries.'

Narrow the scope to reduce conflict risk — clarify whether this is for financial analysis, operational metrics, market research, or all of the above, and define boundaries with other potential skills.

DimensionReasoningScore

Specificity

Names the domain (business analysis) and lists some actions like 'Build comprehensive KPI frameworks, predictive models, and strategic recommendations,' but many terms are buzzword-heavy rather than concrete ('AI-powered analytics,' 'data-driven insights,' 'real-time dashboards') and lack specificity about what the skill actually does.

2 / 3

Completeness

Describes what it does (albeit vaguely), but completely lacks any 'Use when...' clause or explicit trigger guidance. Per the rubric, a missing 'Use when' clause caps completeness at 2, and the 'what' portion is also weak due to buzzword-heavy language, warranting a score of 1.

1 / 3

Trigger Term Quality

Includes some relevant keywords like 'KPI,' 'dashboards,' 'predictive models,' and 'business analysis,' but many terms are marketing fluff ('AI-powered,' 'data-driven insights,' 'master modern') rather than natural phrases a user would say. Missing common variations like 'business report,' 'market analysis,' 'ROI,' 'financial analysis.'

2 / 3

Distinctiveness Conflict Risk

Extremely broad scope covering analytics, dashboards, KPIs, predictive models, and strategic recommendations — this could easily conflict with data science skills, dashboard/visualization skills, reporting skills, or strategy skills. There is no clear niche or boundary defined.

1 / 3

Total

6

/

12

Passed

Validation

90%

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

Validation — 10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
popey/claude-code-skills
Reviewed

Table of Contents

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