CtrlK
BlogDocsLog inGet started
Tessl Logo

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.

25

Quality

16%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/business-analyst/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

7%

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

This skill reads like a job description or persona prompt rather than an actionable skill file. It exhaustively lists topics and capabilities Claude already understands without providing any concrete code, templates, frameworks, or step-by-step workflows. The content is extremely verbose (~200+ lines) yet contains virtually no actionable, executable guidance that would help Claude perform business analysis tasks better than it already can.

Suggestions

Replace the extensive capability listings with 3-5 concrete, executable templates (e.g., a Python cohort analysis script, a SQL KPI query template, a specific A/B test sizing calculation) that Claude can directly use.

Add specific workflow sequences with validation checkpoints for key tasks like 'Build a KPI Dashboard' or 'Run Churn Analysis' — include concrete steps, expected outputs, and verification criteria.

Remove the 'Behavioral Traits', 'Knowledge Base', and 'Capabilities' bullet lists entirely — Claude already knows these concepts. Focus the saved tokens on actionable frameworks and examples.

Populate the referenced 'resources/implementation-playbook.md' bundle file with detailed examples and reference the specific sections from the main skill file for progressive disclosure.

DimensionReasoningScore

Conciseness

Extremely verbose and padded with information 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 new or actionable. The 'Behavioral Traits', 'Knowledge Base', and 'Example Interactions' sections are similarly wasteful, describing general competencies rather than providing specific instructions.

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 guidance. The 'Response Approach' section lists generic phases like 'Execute comprehensive analysis' without any specifics.

1 / 3

Workflow Clarity

The 'Response Approach' section lists 8 high-level steps but they are vague and lack any validation checkpoints, error handling, or feedback loops. There are no concrete workflows for any of the many tasks described — no step-by-step process for building a dashboard, running an A/B test, or creating a KPI framework with verification steps.

1 / 3

Progressive Disclosure

There is one reference to 'resources/implementation-playbook.md' for detailed examples, which suggests some attempt at progressive disclosure. However, no bundle files are provided, so this reference is unverifiable. The main content is a monolithic wall of bullet-point lists that could benefit greatly from being split into focused reference files for each capability area.

2 / 3

Total

5

/

12

Passed

Description

25%

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 relies heavily on buzzwords and marketing-style language ('AI-powered analytics,' 'data-driven insights,' 'master modern business analysis') without providing concrete, actionable specifics. It completely lacks a 'Use when...' clause, making it difficult for Claude to know when to select this skill. The broad scope creates high conflict risk with other analytics or data-related skills.

Suggestions

Add an explicit 'Use when...' clause with natural trigger terms, e.g., 'Use when the user asks for business analysis, KPI tracking, revenue dashboards, market forecasting, or strategic planning reports.'

Replace vague buzzwords with concrete actions, e.g., 'Creates KPI dashboards from spreadsheet data, builds revenue forecasting models, generates SWOT analyses and strategic recommendation reports.'

Narrow the scope or add distinguishing details to reduce overlap with generic data analysis or dashboard skills, e.g., specifying the types of business analysis (financial, operational, market) or output formats.

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 actions. 'AI-powered analytics' and 'data-driven insights' are vague fluff.

2 / 3

Completeness

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

1 / 3

Trigger Term Quality

Includes some relevant keywords like 'KPI,' 'dashboards,' 'predictive models,' and 'business analysis' that users might say, but misses common variations and natural phrasing like 'business report,' 'metrics,' 'forecast,' 'ROI analysis,' or specific file types.

2 / 3

Distinctiveness Conflict Risk

Very generic and could overlap with numerous skills related to data analysis, dashboards, reporting, predictive modeling, or strategy. Nothing clearly carves out a distinct niche—'business analysis' is extremely broad.

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.

Validation10 / 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
sickn33/antigravity-awesome-skills
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.