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...

Use when building real-time communication systems with WebSockets or Socket.IO. Invoke for bidirectional messaging, horizontal scaling with Redis, presence tracking, room management.

Use when building real-time communication systems with WebSockets or Socket.IO. Invoke for bidirectional messaging, horizontal scaling with Redis, presence tracking, room management.

Expert in financial technology systems, double-entry ledger design, high-precision math, and regulatory compliance. Use when building payment systems, ledger architectures, financial calculations,...

Technical Suno V5 prompting, genre selection, style prompt construction

Guide for AI Agents and LLM development skills including RAG, multi-agent systems, prompt engineering, memory systems, and context engineering.

Expert in building developer tools, CLI utilities, IDE extensions, and optimizing local development environments.

Primary Instruction Protocol for Senior Engineering Agents. Expert in Cognitive Architectures, Memory Systems, and 2026 Context Engineering (Updated for v0.27.0).

Skip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights Merge branch 'main' into 1862-Add-Travis-CI-migration-table ...

Transform a user's 'basic prompt' into an 'optimized prompt' by applying context engineering -> the right context beats the right prompt.

Generate and improve prompts using best practices for OpenAI GPT-5 and other LLMs. Apply advanced techniques like chain-of-thought, few-shot prompting, and progressive disclosure.

Generate and improve prompts using best practices for OpenAI GPT-5 and other LLMs. Apply advanced techniques like chain-of-thought, few-shot prompting, and progressive disclosure.

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Recuperación de contexto después de compactación de memoria del LLM

Rust specialist with expertise in async programming, ownership patterns, FFI, and WebAssembly development

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Build scalable data pipelines, modern data warehouses, and

Build scalable data pipelines, modern data warehouses, and

Build scalable data pipelines, modern data warehouses, and

Build production ML systems with PyTorch 2.x, TensorFlow, and