Loading...
Loading...
Found 7,014 Skills
Document Q&A with RAG using Supabase pgvector store.
Follow Recovery Coach codebase patterns and conventions. Use when writing new code, components, API routes, or database queries. Activates for general development, code organization, styling, and architectural decisions in this project.
Use Android/Kotlin code as the source of truth and implement the equivalent feature in iOS/Swift. Understands the feature behavior, data structures, and logic from Android, then creates idiomatic iOS code that matches the target codebase's existing patterns. Use when porting features from Android to iOS or ensuring platform consistency.
Provides comprehensive guidance for MySQL database including SQL syntax, data types, indexes, transactions, stored procedures, and optimization. Use when the user asks about MySQL, needs to write SQL queries, design database schemas, optimize MySQL performance, or work with MySQL features.
Expert blueprint for Godot 4 project organization (feature-based folders, naming conventions, version control). Enforces snake_case files, PascalCase nodes, %SceneUniqueNames, and .gitignore best practices. Use when starting new projects or refactoring structure. Keywords project organization, naming conventions, snake_case, PascalCase, feature-based, .gitignore, .gdignore.
Build AI-first applications with RAG pipelines, embeddings, vector databases, agentic workflows, and LLM integration. Master prompt engineering, function calling, streaming responses, and cost optimization for 2025+ AI development.
Collect-then-batch pattern for database operations achieving 30-40% throughput improvement. Includes graceful fallback to sequential processing when batch operations fail.
Implement PostgreSQL Row Level Security (RLS) for multi-tenant SaaS applications. Use when building apps where users should only see their own data, or when implementing organization-based data isolation.
Implement multi-tenant architecture with tenant isolation, data separation, and per-tenant configuration. Supports shared database and schema-per-tenant models.
SmartACE (Agentic Context Engineering) workflow engine with MCP-B (Master Client Bridge) and AMUM-QCI-ETHIC module. Dual database architecture using DuckDB (analytics) + SurrealDB (graph). Uses Blender 5.0 (bpy) and UE5 Remote Control. Use when (1) MCP-B agent-to-agent communication (INQC protocol), (2) AMUM 3→6→9 progressive alignment, (3) QCI quantum coherence states, (4) ETHIC principles enforcement (Marcel/Anthropic/EU AI Act), (5) SurrealDB graph relationships, (6) DuckDB SQL workflows, (7) ML inference with infera/vss, (8) Blender 5.0 headless processing, (9) UE5 scene control, (10) DuckLake time travel.
PostgreSQL database design, migration, and performance optimization best practices. This skill should be used when writing, reviewing, or refactoring database schemas, migrations, or query patterns. Triggers on tasks involving PostgreSQL databases, schema design, migration optimization, or data modeling.
Update all documentation in .plans, AGENTS.md files, docs, and .tasks to match current codebase state. Use when user asks to update docs, refresh documentation, sync docs with code, or validate documentation accuracy.