agentleFS
modimihir07modimihir07/agentic-os/skills/daily-standup/SKILL.md

daily-standup

Skill209 starsChanged 3 months agoMITView on GitHub

Morning briefing with project status overview

16 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 11 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Before planning the day

    line 17
  2. Distinctive:

    Read active-projects.md for current status

    line 20
  3. Distinctive:

    Check recent audit log entries (last 24h)

    line 21

“Common” is measured: kept by at least 6 in 10 of the 11 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Daily Standup

Description

Generates a morning briefing with current project status, recent changes, pending tasks, and priorities for the day. Integrates with audit log and recent decisions.

When to Use

  • Every morning
  • At the start of a work session
  • Before planning the day

Process

  1. Read active-projects.md for current status
  2. Check recent audit log entries (last 24h)
  3. Review recent-decisions.md
  4. Identify blocked items and priorities
  5. Generate standup summary

Output

Morning briefing markdown with: yesterday's work, today's priorities, blockers

Agent Assignment

  • Primary: hermes
  • Fallback: opencode

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.