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.
Install with Tessl CLI
npx tessl i github:sickn33/antigravity-awesome-skills --skill business-analyst47
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillEvaluation — 87%
↑ 1.03xAgent success when using this skill
Validation for skill structure
Evaluation results
88%
-2%NovaPay Series A Metrics Strategy
KPI framework development
Business objectives stated
87%
62%
Primary/North Star metric
60%
100%
OKR or balanced scorecard structure
80%
70%
SaaS-specific metrics coverage
100%
100%
KPI hierarchy or grouping
100%
100%
Industry benchmarks referenced
100%
100%
Ongoing monitoring plan
100%
70%
Non-technical language
100%
100%
Actionable recommendations
100%
100%
Data quality considerations
62%
62%
Executive summary section
100%
100%
Without context: $0.4571 · 2m 50s · 11 turns · 11 in / 10,115 out tokens
With context: $0.5814 · 3m 5s · 21 turns · 1,155 in / 10,195 out tokens
82%
11%RetailEdge Customer Retention Crisis
Churn analysis and predictive modeling
Business objective defined
75%
62%
Data quality assessment
40%
90%
Cohort-based analysis
90%
100%
Customer segmentation
100%
100%
Predictive or forward-looking approach
50%
70%
Root cause analysis
90%
100%
Actionable recommendations
100%
100%
Monitoring plan
100%
100%
Non-technical translation
100%
100%
Statistical rigor stated
25%
62%
Ethical or privacy consideration
0%
0%
Without context: $0.3102 · 2m 3s · 8 turns · 9 in / 6,477 out tokens
With context: $0.6500 · 4m 1s · 21 turns · 301 in / 11,307 out tokens
91%
QuickCart Experimentation Process Overhaul
A/B testing framework design
Hypothesis structure defined
60%
70%
Statistical significance threshold
100%
100%
Sample size or statistical power
100%
100%
Randomization approach
100%
100%
Primary and guardrail metrics
100%
100%
Actionable decision rules
100%
100%
In-flight monitoring plan
100%
100%
Non-technical accessibility
100%
100%
Ethical or fairness consideration
50%
25%
Retrospective and learning loop
100%
100%
Pre-experiment data validation
87%
100%
Without context: $0.3438 · 2m 38s · 11 turns · 11 in / 6,973 out tokens
With context: $0.5153 · 3m 20s · 18 turns · 311 in / 9,499 out tokens
- Evaluated
- Agent
- Claude Code
- Model
- Unknown
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.