mirror of
https://github.com/davila7/claude-code-templates.git
synced 2026-09-19 01:30:23 +08:00
daniel
41cbbea00c
- Split components.json: índice sin content (1.9 MB / 249 KB br vs 15.6 MB / 4.15 MB br).
Generador produce component-content/{type}/{slug}.json por componente y auto-copia
a dashboard/public/. Página de detalle carga contenido on-demand via fetchComponentContent().
- Restaurar cabeceras de caché y seguridad perdidas en la migración Vercel→Cloudflare:
_headers con Cache-Control max-age=86400 para JSONs, immutable para _astro/*,
y HSTS, X-Frame-Options, Referrer-Policy, Permissions-Policy en todas las rutas.
- Eliminar dashboard/vercel.json (config muerta desde migración a Cloudflare Pages).
- Diferir hidratación: ClerkIsland y AuthButton client:load → client:idle;
SaveToCollectionButton → client:visible.
- Eliminar gpt-tokenizer del bundle del navegador: reemplazado por estimación chars/4.
- Actualizar .claude/rules/dashboard.md para reflejar hosting en Cloudflare Pages.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
1 line
2.2 KiB
JSON
1 line
2.2 KiB
JSON
{"content": "---\nallowed-tools: Read, Write, Edit, Bash\nargument-hint: [table-name] | --query [sql] | --export | --inspect\ndescription: Explore and analyze Supabase database data with intelligent querying and visualization\n---\n\n# Supabase Data Explorer\n\nExplore and analyze Supabase database with intelligent querying and data insights: **$ARGUMENTS**\n\n## Current Data Context\n\n- Supabase MCP: Connected with read-only access for safe data exploration\n- Target table: Analysis of $ARGUMENTS for data exploration scope\n- Local queries: !`find . -name \"*.sql\" | head -5` existing SQL files for reference\n- Data models: !`find . -name \"types\" -o -name \"models\" -type d | head -3` application data structures\n\n## Task\n\nExecute comprehensive database exploration with intelligent analysis and insights:\n\n**Exploration Focus**: Use $ARGUMENTS to specify table inspection, SQL query execution, data export, or comprehensive database inspection\n\n**Data Exploration Framework**:\n1. **Database Discovery** - Explore table structures, analyze relationships, identify data patterns, assess data quality metrics\n2. **Intelligent Querying** - Execute read-only queries via MCP, optimize query performance, provide result analysis, suggest query improvements\n3. **Data Analysis** - Generate data insights, identify trends and anomalies, calculate statistical summaries, analyze data distribution\n4. **Schema Inspection** - Examine table schemas, analyze foreign key relationships, assess index effectiveness, review constraint validations\n5. **Export & Visualization** - Export data in multiple formats, create data visualizations, generate summary reports, optimize data presentation\n6. **Performance Analysis** - Analyze query execution plans, identify performance bottlenecks, suggest optimization strategies, monitor resource usage\n\n**Advanced Features**: Interactive data exploration, automated insight generation, data quality assessment, relationship mapping, trend analysis.\n\n**Safety Features**: Read-only operations, query validation, result limiting, performance monitoring, error handling.\n\n**Output**: Comprehensive data exploration with insights, optimized queries, export files, and performance recommendations."} |