mirror of
https://github.com/davila7/claude-code-templates.git
synced 2026-09-19 01:30:23 +08:00
Dani
054c0e56e9
Removed the deprecated 'model: sonnet' field from command frontmatter to fix compatibility issues with Claude Code. Commands will now inherit the model from the active conversation instead of using a hardcoded deprecated model identifier. Changes: - Removed 'model: sonnet' from 142 command files across all categories - Commands now use default model inheritance behavior - Preserved 'model: claude-sonnet-4-5-20250929' in gemini-review.md (valid model) - 67 commands without model field remain unchanged This resolves the "model: sonnet not found" error reported in GitHub issues and aligns with Claude Code's recommended practice of letting commands inherit the conversation model. Affected categories: - Database/Supabase commands (8 files) - Documentation commands (8 files) - Deployment commands (11 files) - Setup commands (14 files) - Performance commands (8 files) - Team commands (14 files) - Security commands (6 files) - NextJS/Vercel commands (10 files) - Sync commands (14 files) - And more across other categories 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
2.1 KiB
2.1 KiB
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 -5existing SQL files for reference - Data models: !
find . -name "types" -o -name "models" -type d | head -3application 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:
- Database Discovery - Explore table structures, analyze relationships, identify data patterns, assess data quality metrics
- Intelligent Querying - Execute read-only queries via MCP, optimize query performance, provide result analysis, suggest query improvements
- Data Analysis - Generate data insights, identify trends and anomalies, calculate statistical summaries, analyze data distribution
- Schema Inspection - Examine table schemas, analyze foreign key relationships, assess index effectiveness, review constraint validations
- Export & Visualization - Export data in multiple formats, create data visualizations, generate summary reports, optimize data presentation
- 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.