Capture and organize knowledge in workspace platforms. Structures information into wikis, databases, and connected knowledge graphs.
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digitalocean
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Manage Droplets, check App Platform, monitor databases, and view usage on DigitalOcean
typeorm
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Guidelines for developing with TypeORM, a full-featured ORM for TypeScript and JavaScript supporting multiple databases
database_design
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Schema tasarımı, migration stratejileri, indexing, query optimization ve database best practices.
FAQ Builder
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Build comprehensive FAQ databases from support data, documentation, and user interactions
salvo-caching
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Implement caching strategies for improved performance. Use for reducing database load and speeding up responses.
supabase-development
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Supabase development guidelines for database, authentication, real-time subscriptions, and Edge Functions.
db
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Database operations for SQLite, PostgreSQL, and MySQL. Use for queries, schema inspection, migrations, and AI-assisted query generation.
journal
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Guide for using the AI's persistent journal database
supabase
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Manage Supabase projects, databases, migrations, Edge Functions, and storage using the `supabase` CLI.
supabase
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Manage Supabase projects, databases, migrations, Edge Functions, and storage using the `supabase` CLI.
Plan and execute cloud migrations with assessment, database migration, application refactoring, and cutover strategies across AWS, Azure, and GCP.
sqlite-data
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Use when working with SQLiteData library (@Table, @FetchAll, @FetchOne macros) for SQLite persistence, queries, writes, migrations, or CloudKit private database sync.
postgres-patterns
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PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
postgres-patterns
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PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
Defining and validating database schemas with proper typing, index configuration, optional fields, unions, and migration strategies for schema changes
rag-architect
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Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, or context augmentation.
rag-architect
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Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, or context augmentation.
{{skill-name}}
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{{SKILL_DESCRIPTION}}. Use when users request {{USE_CASES}}. Demonstrates the System Skill Pattern (CLI + SKILL.md + Database).
data-model-creation
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Optional advanced tool for complex data modeling. For simple table creation, use relational-database-tool directly with SQL statements.