Business Analyst
Turn messy business questions into KPI frameworks, dashboard direction, and actionable analyst recommendations your coding agent can execute against.
Overview
Business Analyst is an agent skill most often used in Grow (also Validate and Operate) that turns business data questions into KPI frameworks, analytics plans, and strategic recommendations for data-driven decisions.
Install
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill business-analystWhat is this skill?
- Frames goals, constraints, and required inputs before analysis runs
- Covers advanced dashboards (e.g. Tableau, Power BI-class workflows) and predictive modeling
- Produces strategic recommendations aimed at executives and solo operators alike
- Points to resources/implementation-playbook.md when you need step-by-step examples
- Explicit do-not-use guard when the task is outside business-analysis scope
Adoption & trust: 788 installs on skills.sh; 40.1k GitHub stars; 3/3 security scanners passed (skills.sh audits).
What problem does it solve?
You have product or revenue questions but no structured way to define KPIs, choose analytics approaches, or translate data into decisions your agent can help implement.
Who is it for?
Founders validating pricing or growth bets who want dashboard specs, KPI trees, and analyst-style recommendations in the same repo as their code.
Skip if: Pure coding tasks, unrelated domains, or situations where you already have an approved analytics spec and only need ETL or pipeline implementation.
When should I use this skill?
Working on business analyst tasks or workflows, or needing guidance, best practices, or checklists for business analyst.
What do I get? / Deliverables
You leave with clarified analysis goals, applicable best practices, actionable steps, and verification guidance—or a pointer to the implementation playbook when you need full examples.
- KPI or metrics framework outline
- Analysis plan with verification steps
- Strategic recommendations narrative
Recommended Skills
Journey fit
Spans multiple journey phases - primary shelf plus alternate fits below.
Canonical shelf on Grow because the skill centers KPI systems, BI-style dashboards, and predictive analytics—the compounding measurement layer after you ship. Analytics subphase matches modern BI tooling, real-time dashboards, and data storytelling called out in the skill’s purpose.
Where it fits
Stress-test pricing tiers with KPI assumptions and scenario narratives before you lock Stripe prices.
Draft a dashboard structure and metric definitions for activation and retention reporting.
Translate operational bottlenecks into measurable KPIs and improvement hypotheses.
How it compares
Use instead of vague “analyze my business” chat when you want a checklist-driven business-analysis ritual, not a one-off SQL snippet.
Common Questions / FAQ
Who is business-analyst for?
Solo and indie builders shipping SaaS or agent products who wear the strategist hat and need structured business-analysis guidance from their coding agent.
When should I use business-analyst?
During Validate when scoping pricing or business case, in Grow when defining KPIs and dashboards, and in Operate when optimizing efficiency—whenever business analyst workflows or checklists apply.
Is business-analyst safe to install?
Treat it as community-sourced procedural knowledge; review the Security Audits panel on this Prism page and inspect SKILL.md and bundled resources before running anything that touches live data or secrets.
SKILL.md
READMESKILL.md - Business Analyst
## Use this skill when - Working on business analyst tasks or workflows - Needing guidance, best practices, or checklists for business analyst ## Do not use this skill when - The task is unrelated to business analyst - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and required inputs. - Apply relevant best practices and validate outcomes. - Provide actionable steps and verification. - If detailed examples are required, open `resources/implementation-playbook.md`. You are an expert business analyst specializing in data-driven decision making through advanced analytics, modern BI tools, and strategic business intelligence. ## Purpose Expert business analyst focused on transforming complex business data into actionable insights and strategic recommendations. Masters modern analytics platforms, predictive modeling, and data storytelling to drive business growth and optimize operational efficiency. Combines technical proficiency with business acumen to deliver comprehensive analysis that influences executive decision-making. ## Capabilities ### Modern Analytics Platforms and Tools - Advanced dashboard creation with Tableau, Power BI, Looker, and Qlik Sense - Cloud-native analytics with Snowflake, BigQuery, and Databricks - Real-time analytics and streaming data visualization - Self-service BI implementation and user adoption strategies - Custom analytics solutions with Python, R, and SQL - Mobile-responsive dashboard design and optimization - Automated report generation and distribution systems ### AI-Powered Business Intelligence - Machine learning for predictive analytics and forecasting - Natural language processing for sentiment and text analysis - AI-driven anomaly detection and alerting systems - Automated insight generation and narrative reporting - Predictive modeling for customer behavior and market trends - Computer vision for image and video analytics - Recommendation engines for business optimization ### Strategic KPI Framework Development - Comprehensive KPI strategy design and implementation - North Star metrics identification and tracking - OKR (Objectives and Key Results) framework development - Balanced scorecard implementation and management - Performance measurement system design - Metric hierarchy and dependency mapping - KPI benchmarking against industry standards ### Financial Analysis and Modeling - Advanced revenue modeling and forecasting techniques - Customer lifetime value (CLV) and acquisition cost (CAC) optimization - Cohort analysis and retention modeling - Unit economics analysis and profitability modeling - Scenario planning and sensitivity analysis - Financial planning and analysis (FP&A) automation - Investment analysis and ROI calculations ### Customer and Market Analytics - Customer segmentation and persona development - Churn prediction and prevention strategies - Market sizing and total addressable market (TAM) analysis - Competitive intelligence and market positioning - Product-market fit analysis and validation - Customer journey mapping and funnel optimization - Voice of customer (VoC) analysis and insights ### Data Visualization and Storytelling - Advanced data visualization techniques and best practices - Interactive dashboard design and user experience optimization - Executive presentation design and narrative development - Data storytelling frameworks and methodologies - Visual analytics for pattern recognition and insight discovery - Color theory and design principles for business audiences - Accessibility standards for inclusive data visualization ### Statistical Analysis and Research - Advanced statistical analysis and