Results for “engram”

Encodes Emil Kowalski's design engineering philosophy — UI polish, component design, animation decisions, and the invisible details that make software feel great. Use as the reference/philosophy layer for interaction craft. For the narrower, task-specific pieces of this same philosophy, see `animate` (build one animation), `review-animations` (review a diff), `improve-animations` (audit a codebase), `find-animation-opportunities` (find what's missing motion), `animation-vocabulary` (name an effect), `apple-design` (gesture/spring physics), `ask-sonner` (the Sonner toast library). Source: github.com/emilkowalski/skills.

Set your primary ENS name on Base, Arbitrum, Optimism, and Ethereum mainnet via the ENS Reverse Registrar, creating a bi-directional link between your address and ENS name.

Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern. Used in production at LinkedIn, Uber, and 400+ companies. This is LangChain's recommended approach for building agents. Use when "langgraph, langchain agent, stateful agent, agent graph, react agent, agent workflow, multi-step agent, langgraph, langchain, agents, state-machine, workflow, graph, ai-agents, orchestration" mentioned.

Deploy ERC20 tokens on EVM chains (Base, Ethereum, Arbitrum) using the Clanker SDK with features like vesting, airdrops, rewards, and anti-sniper protection.

Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.