performance-analysis

ReasoningBank with AgentDB

ruvnet

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.

AgentDB Advanced Features

ruvnet

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.

ReasoningBank with AgentDB

ruvnet

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

ruvnet

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

AgentDB Advanced Features

ruvnet

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.

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.

xp-practices

proffesor-for-testing

Apply XP practices including pair programming, ensemble programming, continuous integration, and sustainable pace. Use when implementing agile development practices, improving team collaboration, or adopting technical excellence practices.

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.

Cloudflare D1 Database

jezweb

Complete knowledge domain for Cloudflare D1 - serverless SQLite database on Cloudflare's edge network. Use when: creating D1 databases, writing SQL migrations, configuring D1 bindings, querying D1 from Workers, handling SQLite data, building relational data models, or encountering "D1_ERROR", "statement too long", "too many requests queued", migration failures, or query performance issues. Keywords: d1, d1 database, cloudflare d1, wrangler d1, d1 migrations, d1 bindings, sqlite workers, serverless database, edge database, d1 queries, sql cloudflare, prepared statements, batch queries, d1 api, wrangler migrations, D1_ERROR, D1_EXEC_ERROR, statement too long, database bindings, sqlite cloudflare, sql workers api, d1 indexes, query optimization, d1 schema

project-planning

jezweb

Generates comprehensive planning documentation for web application projects, structuring work into context-safe phases with built-in verification criteria. Creates IMPLEMENTATION_PHASES.md, DATABASE_SCHEMA.md, API_ENDPOINTS.md, ARCHITECTURE.md, and other planning docs based on project needs. Optimized for Cloudflare Workers + Vite + React stack. Use when starting new projects, adding major features, or restructuring existing work into manageable phases.