How do I install the Whats Up skill?

Run npx skillmds@latest add autographical/whats-up in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Whats Up safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Whats Up?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Whats Up free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Whats Up?

autographical (@autographical) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Whats Up by autographical — Agent Skill

Name: Whats Up
Author: autographical

Whats Up

Fetch recent activity from Autographical — what the user and their AI agents have been working on. Use when starting a session, when the user mentions recent activity, when the user alludes to what they were doing or looking at, or picking up where they left off. Also use when the conversation feels like a topic change or you could use more background context on the ask.

File contents

What's Up

Fetch recent activity from Autographical and present what's been happening. The activity stream includes everything the user has been doing — browsing, reading, saving, researching — as well as activity from AI sessions the user has been collaborating with. It's the full picture of human + AI work.

Data

Call the recent_activity MCP tool to fetch recent sessions and top resources.
If the user provided arguments via $ARGUMENTS, also call the search MCP tool with those arguments to narrow focus.
If a session or resource looks particularly relevant, use get_session or get_resource to get more detail.

Synthesis

Lead with what you find interesting or notable. You have full latitude in how you read and present the data — don't follow a rigid template. Some things to surface:

Active threads and topics — what has the user been engaged with, and what have their AI collaborators been working on?
Momentum — where is attention concentrated? What's in-progress?
Recency and intensity — what's hot right now vs background threads?

Keep it concise. A few sentences per thread, not an exhaustive list of URLs. The goal is to transfer context to you so the session can build from shared awareness.

Frequently asked questions