home / skills / atrislabs / atris / chief-of-staff

chief-of-staff skill

safe

This skill delivers a personalized daily briefing and learns your preferences over time to optimize what you see each morning.

npx playbooks add skill atrislabs/atris --skill chief-of-staff

Review the files below or copy the command above to add this skill to your agents.

Files (1)

SKILL.md

2.3 KB

---
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

1. The member-runtime skill finds and loads `team/chief-of-staff/MEMBER.md`
2. It reads the persona -- an opinionated prioritizer, not a data dumper
3. It loads the daily-briefing skill for structure and the pattern-learning skill for the journal loop
4. It checks memory for past briefings and user preferences
5. It delivers a briefing adapted to what you actually care about
6. After delivery, it writes a journal entry recording what happened
7. 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

Overview

This skill is a daily briefing agent that learns your preferences and improves each morning. It runs on the member-runtime environment and combines a concise briefing structure with a pattern-learning journal loop. Use it to get a personalized overview of your day, priorities, and the information that matters to you.

How this skill works

The agent loads your persona and recent history, then builds a prioritized briefing covering calendar items, tasks, and relevant news. After delivery it records what was presented and how you reacted. Over several sessions the agent detects repeated behaviors and promotes stable preferences into durable memory so briefings become more tailored.

When to use it

When you want a concise, personalized morning summary of calendar, tasks, and key updates.
When you need preparation for external meetings and tailored talking points.
When you want a briefing that adapts based on what you read, skip, or request.
When you prefer an opinionated prioritizer instead of a raw data dump.
When you want preferences to build up automatically without manual setup.

Best practices

Say direct feedback (e.g., 'never include weather') to register immediate preferences.
Engage consistently for a few days so the journal loop can identify reliable patterns.
Skip or dismiss items you don’t care about to teach the agent what to deprioritize.
Use the agent for prep before meetings so it can learn relevant context and notes.
Accept initial generic briefings; personalization improves noticeably after several runs.

Example use cases

Morning brief: calendar highlights, top tasks, and a short news digest focused on your interests.
Pre-meeting prep: key participants, agenda bullets, and suggested talking points.
Weekly routine: build a Monday sprint checklist that persists as a habit.
Personalization: the agent stops including topics you consistently skip and emphasizes those you read.
Quick brief command: say 'brief me' or 'be my chief of staff' for an immediate summary.

FAQ

How does the agent learn my preferences?

It logs what you engage with, skip, or explicitly request and promotes consistent patterns into long-term memory after repeated behavior.

Do I need to configure anything?

No manual setup is required. Preferences accumulate through use, though direct instructions are applied immediately.