performance-analysis

ReasoningBank with AgentDB

agenticsorg

Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.

full-stack-development

baz-scm

Ability to develop both front-end and back-end systems, integrating user interfaces with server logic and databases.

database-migration

alekspetrov

Create database migration with schema changes and rollback. Auto-invoke when user says "create migration", "add table", "modify schema", or "change database".

bug-reporting-excellence

proffesor-for-testing

Write high-quality bug reports that get fixed quickly. Use when reporting bugs, training teams on bug reporting, or establishing bug report standards.

ReasoningBank with AgentDB

proffesor-for-testing

Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.

performance-analysis

proffesor-for-testing

Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms

AgentDB Advanced Features

proffesor-for-testing

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

Optimizing Performance

jeanluciano

Optimize performance with profiling, caching strategies, database query optimization, and bottleneck analysis. Use when improving response times, implementing caching layers, or scaling for high load.

AgentDB Advanced Features

agenticsorg

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

AgentDB Vector Search

agenticsorg

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.

grey-haven-database-conventions

greyhaven-ai

Apply Grey Haven Studio's database conventions - snake_case fields, multi-tenant architecture with tenant_id and RLS policies, proper indexing, and migration patterns for Drizzle (TypeScript) and SQLModel (Python). Use when designing schemas or writing database code.

grey-haven-deployment-cloudflare

greyhaven-ai

Deploy TanStack Start applications to Cloudflare Workers/Pages with GitHub Actions, Doppler, Wrangler, database migrations, and rollback procedures. Use when deploying Grey Haven applications.