Wilma

Staying on top of communications across multiple channels is a real challenge for modern teams. Wilma helps by enabling access finland's wilma school system from ai agents. fetch schedules, homework, exams, grades, messages, and news via the wilma cli. start with `wilma summar.. directly from your AI assistant, without switching apps or logging into separate platforms.

Wilma 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 Wilma 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.

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

Wilma has been installed 1,503 times, making it one of the more actively used skills in the Communication category. The install rate suggests it solves a real, recurring need rather than a niche edge case. 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.