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.
A new MIT study reveals a significant lack of transparency and safety measures in agentic AI systems, with many offering no disclosure about risks or ways to shut down rogue bots.
This article details how to use OpenClaw, an open-source framework, to build a personal assistant. It covers the setup, configuration, and basic usage of OpenClaw, focusing on its ability to connect to various tools and services to perform tasks like sending emails, browsing the web, and executing commands. The guide provides a practical walkthrough for creating a customized AI assistant tailored to individual needs.
OpenClaw is an open source AI framework designed to automate tasks through an event-driven architecture, agent-based task distribution, and persistent state management. This guide explores its core features, practical applications, and security considerations.
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.
Vercel has released Skills.sh, an open-source tool designed to provide AI agents with a standardized way to execute reusable actions, or skills, through the command line. The project introduces what Vercel describes as an open agent skills ecosystem, where developers can define, share, and run discrete operations that agents can invoke as part of their workflows.
A single developer built a powerful search and monitoring tool for the web using a simple SQLite database and a clever bot, highlighting the potential of individual creators to tackle complex problems.
>When deployed strategically, agents can empower SREs to offload low-risk, toilsome tasks so they can focus on the most critical matters.
Agents in practice include:
* **Contextual Information:** Providing SREs with details from previously resolved incidents involving the same service, including responder notes.
* **Root Cause Analysis:** Suggesting potential origins of an issue and identifying recent configuration changes that might be responsible.
* **Automated Remediation:** Handling low-risk, well-defined issues without human intervention, with SRE review of after-action reports.
* **Diagnostic Suggestions:** Nudging SREs towards running specific diagnostics for partially understood incidents and supplying them automatically.
* **Runbook Generation:** Automatically creating and updating runbooks based on successful remediation steps, preventing recurring issues.
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Agents in practice include:
* **Contextual Information:** Providing SREs with details from previously resolved incidents involving the same service, including responder notes.
* **Root Cause Analysis:** Suggesting potential origins of an issue and identifying recent configuration changes that might be responsible.
* **Automated Remediation:** Handling low-risk, well-defined issues without human intervention, with SRE review of after-action reports.
* **Diagnostic Suggestions:** Nudging SREs towards running specific diagnostics for partially understood incidents and supplying them automatically.
* **Runbook Generation:** Automatically creating and updating runbooks based on successful remediation steps, preventing recurring issues.
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A guide to supercharging Claude Code with Skills and the Model Context Protocol (MCP), including running Claude Code in an IDE like Cursor or VS Code. It covers setting up Skills, connecting to MCP servers, and combining both for powerful workflows.
The Azure MCP Server implements the MCP specification to create a seamless connection between AI agents and Azure services. It allows agents to interact with various Azure services like AI Search, App Configuration, Cosmos DB, and more.
