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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.

46

Quality

48%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./skills/business-analyst/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

35%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 persona document: an exhaustive catalog of capabilities, traits, and knowledge areas that assumes Claude needs to be told what a business analyst knows, followed by vague instructions and an abstract 8-step response flow. It provides almost no executable guidance, and its one pointer to deeper material references a file that is missing from the bundle.

Suggestions

Cut the Capabilities/Behavioral Traits/Knowledge Base catalogs down to a short differentiating summary (or move them to a reference file), keeping only guidance Claude could not produce on its own.

Add concrete, executable artifacts: a KPI-framework template, a dashboard-design checklist, an example churn-analysis workflow with actual SQL/Python, or a sample deliverable structure.

Either create `resources/implementation-playbook.md` with the promised detailed examples or remove the reference — as written it points to a file that does not exist in the bundle.

DimensionReasoningScore

Conciseness

Roughly 150 lines are capability/trait/knowledge bullet lists enumerating things Claude already knows ("Advanced dashboard creation with Tableau, Power BI, Looker", "A/B testing design, execution, and analysis", "Data governance frameworks and implementation") — heavily padded with no added instruction. It is not a 1 because it enumerates rather than explains known concepts in prose, but every major section is padding.

2 / 5

Actionability

Guidance is limited to high-level hints: "Clarify goals, constraints, and required inputs", "Apply relevant best practices and validate outcomes" — no code, commands, templates, or worked examples anywhere. Not 1 because the Instructions and Response Approach sections do give some direction; not 3 because nothing is concrete enough to execute.

2 / 5

Workflow Clarity

The "Response Approach" provides a numbered 8-step sequence ("Define business objectives" through "Plan for ongoing monitoring"), but the steps are abstract and validation checkpoints are only implicit ("Validates assumptions through data-driven testing" appears as a trait, not a step). Not 4 because no step includes a concrete checkpoint or verification action.

3 / 5

Progressive Disclosure

The body has clear section headers, but the ~150-line capability catalog is inlined content that belongs in a separate reference file, and the only reference — "open `resources/implementation-playbook.md`" — points to a file that does not exist in the bundle. Not 4 because the single reference is dead and the bulk content is inline; not 2 because section structure is present and navigable.

3 / 5

Total

10

/

20

Passed

Description

62%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.

The description communicates a clear set of capabilities with several natural trigger terms, but it is written entirely as a "what" statement with no "use when" guidance. Buzzwords like "AI-powered" and "data-driven insights" pad it without adding distinctiveness.

Suggestions

Add an explicit trigger clause, e.g. "Use when the user asks for business analysis, KPI design, dashboard building, churn/segmentation analysis, or strategic recommendations from data."

Replace buzzword phrases ("AI-powered analytics", "data-driven insights") with concrete actions and add natural synonyms users would say, such as "business intelligence", "BI", "reporting", and "forecasting".

DimensionReasoningScore

Specificity

The description lists several concrete actions — "Build comprehensive KPI frameworks, predictive models, and strategic recommendations" plus "real-time dashboards" — going beyond 1-2 actions. It falls short of 5 because "AI-powered analytics" and "data-driven insights" are buzzwordy rather than concrete capabilities.

4 / 5

Completeness

The "what" is clear (build KPI frameworks, dashboards, predictive models, strategic recommendations), but there is no "Use when..." clause or equivalent trigger guidance, which caps completeness at 3 per the rubric guidelines. It cannot score 4 because the "when" is entirely absent, not merely imprecise.

3 / 5

Trigger Term Quality

Natural phrases a user would say appear: "business analysis", "analytics", "dashboards", "KPI frameworks", "predictive models". Not 5 because common synonyms and variations like "BI", "business intelligence", "reporting", or "forecasting" are missing.

4 / 5

Distinctiveness Conflict Risk

"Business analysis" combined with analytics/dashboards is somewhat specific but overlaps heavily with adjacent skills like data analysis, data visualization, and financial analysis. Not 4 because the domain is broad enough that several sibling skills would claim the same triggers.

3 / 5

Total

14

/

20

Passed

Validation

93%

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

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
sickn33/agentic-awesome-skills
Reviewed

Table of Contents

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