Anthropic is rolling out a significant update to Claude Code, merging slash commands into a more powerful 'Skills' system. This allows for custom workflows and integrations directly within the Claude interface, enhancing its utility for developers and streamlining complex tasks. The update also includes improved code explanations and debugging features.
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.
Vercel's research shows that embedding a compressed 8KB docs index in AGENTS.md achieves a 100% pass rate for Next.js 16 API evaluations, while skills maxed out at 79%, even with explicit instructions. This suggests that passive context provision via AGENTS.md is more effective than active retrieval with skills for framework-specific knowledge in AI coding agents.
One source of truth for all your AI CLI skills. Install once, sync everywhere — Claude, Cursor, Codex, Gemini, and 10+ more.
LLM-powered Rust development assistant with meta-cognition framework.
The article discusses the use of AI agents for automating and optimizing tasks in the networking industry, including network deployment, configuration, and monitoring. It outlines a workflow with four agents that collectively achieve the setup and verification of network connectivity within a Linux and SR Linux container environment.
The author demonstrates a workflow involving four AI agents designed to deploy, configure, and monitor a network:
Document Specialist Agent: This agent extracts installation, topology deployment, and node connection instructions from a specified website.
- Linux Configuration Agent: Executes the installation and configuration commands on a Debian 12 UTM VM, checks the health of the VM, and verifies the successful deployment of network containers.
- Network Configuration Specialist Agent: Configures network IP allocation, interfaces, and routing based on the network topology, including detailed BGP configurations for different network nodes.
- Senior Network Administrator Agent: Applies the generated configurations to the network nodes, checks BGP peering, and verifies end-to-end connectivity through ping tests.
The author demonstrates a workflow involving four AI agents designed to deploy, configure, and monitor a network:
Document Specialist Agent: This agent extracts installation, topology deployment, and node connection instructions from a specified website.
- Linux Configuration Agent: Executes the installation and configuration commands on a Debian 12 UTM VM, checks the health of the VM, and verifies the successful deployment of network containers.
- Network Configuration Specialist Agent: Configures network IP allocation, interfaces, and routing based on the network topology, including detailed BGP configurations for different network nodes.
- Senior Network Administrator Agent: Applies the generated configurations to the network nodes, checks BGP peering, and verifies end-to-end connectivity through ping tests.
InstructLab is an open-source project that facilitates contributions to Large Language Models (LLMs) by enabling community members to add 'skills' or 'knowledge' to existing models. InstructLab uses a model-agnostic technology to allow model creators to integrate new skills without retraining the entire model.
