Skill UI

This skill guides the design and implementation of robust memory architectures for advanced AI agents. It moves beyond simple data storage, focusing on the critical art of memory retrieval. Learn strategies for chunking, selecting appropriate vector stores, and integrating various memory types (episodic, semantic, working) to ensure agents maintain long-term consistency and intelligence across millions of interactions. Ideal for building sophisticated, stateful autonomous agents.

Designs and implements robust, autonomous AI agent systems that maintain strict control and graceful degradation. This skill covers multi-agent orchestration, advanced planning (like ReAct and Plan-and-Execute), tool management, and robust error handling. It ensures that complex AI workflows can proceed independently while providing clear oversight and failure modes.

Designs and implements robust, autonomous AI agent systems that maintain strict control and graceful degradation. This skill covers multi-agent orchestration, advanced planning (like ReAct and Plan-and-Execute), tool management, and robust error handling. It ensures that complex AI workflows can proceed independently while providing clear oversight and failure modes.

A comprehensive platform designed for building, deploying, and managing continuous, autonomous AI agents. Users can create complex, multi-step automation workflows using a visual, drag-and-drop node editor, or extend functionality using a dedicated developer toolkit. Ideal for implementing persistent agents triggered by webhooks, schedules, or manual input, enabling sophisticated, end-to-end AI automation pipelines.

A comprehensive platform designed for building, deploying, and managing continuous, autonomous AI agents. Users can create complex, multi-step automation workflows using a visual, drag-and-drop node editor, or extend functionality using a dedicated developer toolkit. Ideal for implementing persistent agents triggered by webhooks, schedules, or manual input, enabling sophisticated, end-to-end AI automation pipelines.

Guides building autonomous coding agents with reusable patterns for agent loops, multi-model orchestration, tool schemas, approval flows, and browser automation to keep LLM tool calling reliable.

Guides building autonomous coding agents with reusable patterns for agent loops, multi-model orchestration, tool schemas, approval flows, and browser automation to keep LLM tool calling reliable.

Guides building reliable autonomous agents by covering agent loops, goal decomposition, reflection, and tooling patterns while stressing guardrails, human review, and auditability to curb compounding failure rates in production.

CrewAI orchestrates autonomous multi-agent teams for role-based collaboration, sequential or hierarchical workflows, and production-grade orchestration with memory and tool integrations without LangChain.

Provides production-tested patterns for building AI agents that autonomously discover, evaluate, and acquire token listings for cryptocurrency exchanges, covering multi-source intelligence, 100-point scoring, wallet forensics, outreach pipelines, micropayment orchestration, and ERC-8004 registration.

Uses the Gemini API to autonomously plan, search, read, and synthesize detailed research reports with streaming status updates, structured outputs, and the ability to continue previous investigations for market analysis, technical reviews, or due diligence.

Build LangChain agents that combine tools, decision-making, and async workflows for autonomous task execution, piping outputs through streaming or history-aware sessions and handling parsing or tool errors.