Blogwatcher

Blogwatcher extends your AI assistant with the ability to monitor blogs and RSS/Atom feeds for updates using the blogwatcher CLI. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using Blogwatcher as its underlying capability.

Blogwatcher works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Blogwatcher once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.

Blogwatcher installs like any other MCP skill: drop the folder into `~/.claude/skills/blogwatcher/` for global access, or `.claude/skills/blogwatcher/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/blogwatcher`, or let the AI decide when it's the right tool for your request.

With 35,214 installs, Blogwatcher has built a substantial following in the Developer & DevOps space. That install count reflects consistent demand from developers and teams who've found it genuinely useful. The source code is open on GitHub — you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.