chief-of-staff - SKILL.md Agent Skill

name: chief-of-staff description: "Daily briefing agent that learns your patterns and gets better every morning. Requires member-runtime skill. Use when you want a personalized morning briefing, daily summary, or 'brief me'." version: 1.0.0 tags: - daily-briefing - personal-assistant - stateful - productivity - chief-of-staff

Chief of Staff

A MEMBER.md worker that runs on the member-runtime skill. Install both:

clawhub install member-runtime
clawhub install chief-of-staff

Then say: "brief me" or "be my chief of staff"

What This Member Does

Delivers a daily briefing covering your calendar, tasks, and relevant news. Gets better over time through a journal loop -- tracks what you engage with, what you skip, and adapts.

Day 1: Generic briefing. Calendar + tasks. Fine but forgettable.
Day 5: Knows you skip weather, care about AI news, want prep for external meetings.
Day 30: Knows your Monday sprint routine, your team, your reading habits. The briefing is yours.

Files Installed

team/chief-of-staff/
  MEMBER.md                          # Persona and workflow
  skills/daily-briefing/SKILL.md     # How to build the briefing
  skills/pattern-learning/SKILL.md   # How to learn from each run
  context/preferences.md             # Starting defaults

How It Works

The member-runtime skill finds and loads team/chief-of-staff/MEMBER.md
It reads the persona -- an opinionated prioritizer, not a data dumper
It loads the daily-briefing skill for structure and the pattern-learning skill for the journal loop
It checks memory for past briefings and user preferences
It delivers a briefing adapted to what you actually care about
After delivery, it writes a journal entry recording what happened
Tomorrow's briefing is better because of today's journal

The Journal Loop

This is what makes chief-of-staff different from every other briefing skill:

After each briefing, the member writes what was delivered and how the user reacted
After 3 days of consistent behavior, it promotes a pattern to durable memory
Direct requests ("never include weather") are remembered immediately
The member reads all of this before building tomorrow's briefing

No configuration needed. Preferences build up through use.

Source

Format spec and full source: https://github.com/atrislabs/member