agentleFS
loonylabsloonylabs/claude-setup/skills/wake/SKILL.md

wake

Skill0 starsChanged 3 months agoMITView on GitHub

Sets a one-off wake-up timer. Argument: a time such as "3h", "90m", "01:45" or "in 2 hours". Example: `/wake 3h`

6 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

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 5 edited versions we read keep these.

  • 1

    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:

    when the timer fires (local time)

    line 37

“Common” is measured: kept by at least 6 in 10 of the 5 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

Wake-Up Timer

The user wants to be woken in a given amount of time. The argument is: $ARGUMENTS

Step 1: find the current time

date +"%M %H %d %m"

Step 2: work out the target time

Interpret the argument:

  • Xh or X hours → current hour + X
  • Xm or X minutes → current minute + X (carrying into hours)
  • HH:MM → that exact time today (local time)
  • in X hours/minutes → add accordingly

Derive minute, hour, day and month for the cron expression from it. Pick a minute that does NOT end on :00 or :30 (shift by ±2 minutes if needed).

Step 3: call CronCreate

Set up a one-off (recurring: false) job with:

  • cron: "<minute> <hour> <day> <month> *" (local time, 5 fields)
  • recurring: false
  • prompt: "Wake-up! The timer for '$ARGUMENTS' has fired. Tell the user their wake-up timer ($ARGUMENTS) has elapsed, that you are back, and ask what they want to do."

Step 4: confirm

Confirm briefly to the user:

  • when the timer fires (local time)
  • the job id
  • the caveat that the session has to stay open

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.