CoPaw is a personal AI assistant designed for easy installation and deployment, whether on your local machine or in the cloud. It supports multiple chat applications and offers easily extensible capabilities. Core features include broad channel support (DingTalk, Feishu, QQ, Discord, iMessage, and more), user control over memory and personalization, and built-in skills with the ability to create custom ones.
CoPaw enables various use cases, from social digests and productivity tools to creative writing and research assistance. It's a versatile teammate for your digital life, aiming to be a helpful "co-paw" by your side.
CoPaw enables various use cases, from social digests and productivity tools to creative writing and research assistance. It's a versatile teammate for your digital life, aiming to be a helpful "co-paw" by your side.
Developers are replacing bloated MCP servers with Markdown skill files — cutting token costs by 100x. This article explores a two-layer architecture emerging in production AI systems, separating knowledge from execution. It details how skills (Markdown files) encode stable knowledge, while MCP servers handle runtime API interactions. The piece advocates for a layered approach to optimize context window usage, reduce costs, and improve agent reasoning by prioritizing knowledge representation in a version-controlled, accessible format.
Agent Skills are a simple, open format for giving agents new capabilities and expertise. They are folders of instructions, scripts, and resources that agents can discover and use to do things more accurately and efficiently.
yoagent is a simple, effective agent loop with tool execution and event streaming in Rust. Inspired by pi-agent-core. It features a stateful agent, multi-provider support, built-in tools, and context management.
This article explains the concept of 'skills' in the context of language models, detailing how to create and use them to enhance model capabilities. It covers the file structure, YAML configuration, and integration of scripts for task automation, providing a practical guide for developers.
Learn how to equip your Microsoft Agent Framework agents with portable, reusable skill packages that provide domain expertise on demand using Agent Skills. This article covers what Agent Skills are, progressive disclosure, creating skills, connecting skills to an agent (with .NET and Python examples), use cases, and security considerations.
Alibaba has released CoPaw, an open-source framework designed to provide a standardized workstation for deploying and managing personal AI agents. It addresses the shift from LLM inference to autonomous agentic systems, focusing on the environment in which models operate. CoPaw utilizes AgentScope, AgentScope Runtime, and ReMe to handle agent logic, execution, and persistent memory, enabling long-term experience and multi-channel connectivity.
Anthropic has released a guide detailing “Skills,” a new method for customizing Claude by teaching it specific tasks through dedicated folders containing structured metadata in a single SKILL.md file. Skills enable consistent automation of workflows, enhancement of existing tools via accumulated expertise, and standardized document creation, functioning alongside MCP (which grants Claude tool access). The guide highlights five effective patterns – sequential orchestration, multi-tool coordination, iterative refinement, context-aware tool selection, and domain-specific intelligence – while cautioning against vague descriptions, overly complex skills, and lack of error handling. Ultimately, Skills aim to transform Claude from a general chatbot into a focused, integral part of daily work processes.
The awesome collection of OpenClaw Skills. Formerly known as Moltbot, originally Clawdbot.
