/supabase-data-explorer
Explore and analyze Supabase database data with intelligent querying and visualization
$ npx -y skills add davila7/claude-code-templates --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/supabase-data-explorer
Context preview
What this command does when you run it.
Explore and analyze Supabase database data with intelligent querying and visualization
Command definition
supabase-data-explorer.mdallowed-tools: Read, Write, Edit, Bash
argument-hint: [table-name] | --query [sql] | --export | --inspect
description: Explore and analyze Supabase database data with intelligent querying and visualization
Supabase Data Explorer
Explore and analyze Supabase database with intelligent querying and data insights: **$ARGUMENTS**
Current Data Context
- Supabase MCP: Connected with read-only access for safe data exploration
- Target table: Analysis of $ARGUMENTS for data exploration scope
- Local queries: !`find . -name "*.sql" | head -5` existing SQL files for reference
- Data models: !`find . -name "types" -o -name "models" -type d | head -3` application data structures
Task
Execute comprehensive database exploration with intelligent analysis and insights:
**Exploration Focus**: Use $ARGUMENTS to specify table inspection, SQL query execution, data export, or comprehensive database inspection
**Data Exploration Framework**: 1. **Database Discovery** - Explore table structures, analyze relationships, identify data patterns, assess data quality metrics 2. **Intelligent Querying** - Execute read-only queries via MCP, optimize query performance, provide result analysis, suggest query improvements 3. **Data Analysis** - Generate data insights, identify trends and anomalies, calculate statistical summaries, analyze data distribution 4. **Schema Inspection** - Examine table schemas, analyze foreign key relationships, assess index effectiveness, review constraint validations 5. **Export & Visualization** - Export data in multiple formats, create data visualizations, generate summary reports, optimize data presentation 6. **Performance Analysis** - Analyze query execution plans, identify performance bottlenecks, suggest optimization strategies, monitor resource usage
**Advanced Features**: Interactive data exploration, automated insight generation, data quality assessment, relationship mapping, trend analysis.
**Safety Features**: Read-only operations, query validation, result limiting, performance monitoring, error handling.
**Output**: Comprehensive data exploration with insights, optimized queries, export files, and performance recommendations.
Read more
allowed-tools: Read, Write, Edit, Bash argument-hint: [table-name] | --query [sql] | --export | --inspect description: Explore and analyze Supabase database data with intelligent querying and visualization
Supabase Data Explorer
Explore and analyze Supabase database with intelligent querying and data insights: **$ARGUMENTS**
Current Data Context
- Supabase MCP: Connected with read-only access for safe data exploration
- Target table: Analysis of $ARGUMENTS for data exploration scope
- Local queries: !`find . -name "*.sql" | head -5` existing SQL files for reference
- Data models: !`find . -name "types" -o -name "models" -type d | head -3` application data structures
Task
Execute comprehensive database exploration with intelligent analysis and insights:
**Exploration Focus**: Use $ARGUMENTS to specify table inspection, SQL query execution, data export, or comprehensive database inspection
**Data Exploration Framework**: 1. **Database Discovery** - Explore table structures, analyze relationships, identify data patterns, assess data quality metrics 2. **Intelligent Querying** - Execute read-only queries via MCP, optimize query performance, provide result analysis, suggest query improvements 3. **Data Analysis** - Generate data insights, identify trends and anomalies, calculate statistical summaries, analyze data distribution 4. **Schema Inspection** - Examine table schemas, analyze foreign key relationships, assess index effectiveness, review constraint validations 5. **Export & Visualization** - Export data in multiple formats, create data visualizations, generate summary reports, optimize data presentation 6. **Performance Analysis** - Analyze query execution plans, identify performance bottlenecks, suggest optimization strategies, monitor resource usage
**Advanced Features**: Interactive data exploration, automated insight generation, data quality assessment, relationship mapping, trend analysis.
**Safety Features**: Read-only operations, query validation, result limiting, performance monitoring, error handling.
**Output**: Comprehensive data exploration with insights, optimized queries, export files, and performance recommendations.
Ready-to-use configurations for Anthropic's Claude Code. A comprehensive collection of AI agents, custom commands, settings, hooks, external integrations (MCPs), and project templates to enhance your development workflow.
Repo: davila7/claude-code-templates
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