covenant-patterns
Apply covenant principles as design constraints across all core systems. Use when building agents, prompts, recipes, artifacts, or multi-agent architectures.
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Apply covenant principles as design constraints across all core systems. Use when building agents, prompts, recipes, artifacts, or multi-agent architectures.
Integrate LLMs into applications - APIs, prompting, fine-tuning, and context management
Automated skill for keeping AI knowledge bases current with latest model versions, framework updates, and best practices
Step-by-step checklist and best practices for implementing new AI agent tools in the omer-akben portfolio. Use when creating new agent tools, API routes, or extending agent capabilities.
Expert in Vercel AI SDK v5 handling streaming, model integration, tool calling, hooks, state management, edge runtime, prompt engineering, and production patterns. Use PROACTIVELY for any AI SDK implementation, streaming issues, provider integration, or AI application architecture. Detects project setup and adapts approach.
Optimizing AI inference - quantization, speculative decoding, KV cache, batching, caching strategies. Use when reducing latency, lowering costs, or scaling AI serving.
Genera contenuti didattici interattivi per bambini di 10 anni su qualsiasi argomento. Include spiegazioni semplici, quiz, esperimenti, attività pratiche e prompt per immagini AI. Usa quando vuoi spiegare un concetto a un bambino in modo divertente e coinvolgente.
Foundational SPARQL patterns covering RDF querying, triple patterns, graph patterns, and semantic web fundamentals. Use when querying RDF data or working with knowledge graphs. This is the entry point for SPARQL development.
Create or update AGENTS.md configuration files for AI coding assistants following research-backed best practices. Use when initializing projects, improving agent context, creating AGENTS.md files, or when user mentions project initialization, agent configuration, context files, or /init command.
Read and summarize constitution principles for the AI-Native Robotics Textbook project. Use when checking project rules, validating compliance, or understanding constraints.
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
Autonomous AI coding loop using bd for task management with parallel tmux subagents. Ships features while you sleep.
Use when integrating LLM APIs into applications. Covers API patterns, prompt templates, streaming, error handling, cost optimization, and provider abstraction. Apply when building chat interfaces, completion endpoints, or AI-powered features.
The "Recall Engine". Fetches history, decisions, and tasks related to a person or topic.
Multi-agent coordination patterns for building effective AI teams
Master machine learning, data engineering, AI engineering, LLMs, prompt engineering, and MLOps. Build intelligent systems with Python.
BEFORE dispatching any implementation agent or starting to code - if you're about to write "Task(subagent_type=..., prompt=...)" for implementation, or about to implement a plan yourself, STOP and review first. The prompt you're about to send IS a brief - review it for design flaws before the agent implements garbage.
Expert in OCI Generative AI Dedicated AI Clusters - deployment, fine-tuning, optimization, and production operations