Babysitter bi-dashboards
Business intelligence and marketing dashboard creation with multi-platform support
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/business/marketing/skills/bi-dashboards" ~/.claude/skills/a5c-ai-babysitter-bi-dashboards && rm -rf "$T"
manifest:
library/specializations/domains/business/marketing/skills/bi-dashboards/SKILL.mdsource content
BI and Dashboard Platform Skill
Overview
The BI and Dashboard Platform Skill provides comprehensive integration with business intelligence and marketing dashboard tools. This skill enables automated dashboard development, report building, data connector configuration, and visualization optimization across major BI platforms including Tableau, Power BI, Looker Studio, and Domo.
Capabilities
Tableau Dashboard Development
- Workbook creation and configuration
- Data source connections and extracts
- Calculated field development
- Dashboard layout and design
- Filter and parameter configuration
- Action and interactivity setup
- Performance optimization
- Publishing and permissions management
Power BI Report Building
- Report and dashboard creation
- DAX measure development
- Power Query transformations
- Custom visual integration
- Row-level security configuration
- Dataflow development
- Workspace management
- Scheduled refresh setup
Looker Studio (Google Data Studio)
- Report template creation
- Data connector configuration
- Blended data source setup
- Calculated field development
- Chart and visualization design
- Filter control configuration
- Report sharing and embedding
- Community visualization integration
Domo Dashboard Creation
- Card and dashboard development
- Magic ETL pipeline building
- Beast Mode calculations
- Drill path configuration
- Alert and notification setup
- App integration
- User and group permissions
- Scheduled reports
Supermetrics Data Connector
- Marketing data pipeline configuration
- Multi-source data aggregation
- Custom metric calculations
- Scheduled data refresh
- Data destination routing
- Query template management
- Historical data backfill
- API usage optimization
Cross-Platform Features
- Custom metric calculations and KPI definitions
- Automated report scheduling and distribution
- Data blending and joins across sources
- Alert and notification setup for threshold monitoring
- Template development for consistency
- Documentation and governance standards
Process Integration
This skill integrates with the following marketing processes:
- marketing-dashboard-development.js - Primary dashboard creation and maintenance
- marketing-roi-analysis.js - ROI visualization and reporting
- campaign-performance-analysis.js - Campaign analytics dashboards
Dependencies
- Tableau API / Tableau Server REST API
- Power BI REST API
- Looker API
- Domo API
- Supermetrics API
- Google Analytics API (for data sources)
- Marketing platform APIs (for data connectors)
Usage
Basic Dashboard Creation
skill: bi-dashboards action: create-dashboard parameters: platform: tableau | powerbi | looker-studio | domo dashboard_name: "Marketing Performance Dashboard" data_sources: - type: google-analytics connection: ga4-production - type: crm connection: salesforce-marketing visualizations: - type: kpi-cards metrics: [revenue, conversions, cpa] - type: trend-chart dimension: date metrics: [sessions, conversions] - type: breakdown-table dimensions: [channel, campaign] metrics: [spend, revenue, roas]
Automated Report Scheduling
skill: bi-dashboards action: schedule-report parameters: platform: powerbi report_id: "marketing-weekly-report" schedule: frequency: weekly day: monday time: "08:00" distribution: format: pdf recipients: - marketing-team@company.com - leadership@company.com
Custom Metric Development
skill: bi-dashboards action: create-metric parameters: platform: tableau metric_name: "Blended ROAS" calculation: | SUM([Revenue]) / SUM([Ad Spend]) format: percentage aggregation: ratio
Data Blending Configuration
skill: bi-dashboards action: blend-data parameters: platform: looker-studio primary_source: google-analytics secondary_source: google-ads join_keys: - primary: campaign_name secondary: campaign metrics_to_add: - cost - clicks - impressions
Best Practices
- Data Governance: Maintain consistent naming conventions and metric definitions across dashboards
- Performance: Optimize data extracts and queries for dashboard load time
- Documentation: Include data source documentation and metric calculation logic
- Access Control: Implement appropriate row-level security and permissions
- Version Control: Track dashboard versions and maintain change history
- Mobile Optimization: Design dashboards for cross-device accessibility
- Alerting: Configure meaningful alerts for business-critical metrics
Related Skills
- SK-005: Marketing Analytics Platform
- SK-018: CRM Integration
- SK-015: Customer Data Platform
Related Agents
- AG-008: Marketing Analytics Director
- AG-011: Marketing Operations Manager