agentleFS
memi-designmemi-design/design-skills/skills/cron-agent-workflows/SKILL.md

cron-agent-workflows

Skill7 starsChanged 4 months agoMITView on GitHub

Turn repeatable agent work into scheduled jobs with explicit outputs and safe permissions.

The file

We split this skill into the rules it gives an agent

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

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    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:

    Use this Note when a Memoire or Studio run needs scheduled agent, cron workflow, recurring report, automated run.

    line 12
  2. Distinctive:

    Prefer read-only monitors unless the task explicitly needs writes.

    line 18
  3. Distinctive:

    Keep mutation jobs paused until one manual run proves the prompt, permissions, and artifact path.

    line 20

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “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

Cron Agent Workflows

Turn repeatable agent work into scheduled jobs with explicit outputs and safe permissions.

When to Use

Use this Note when a Memoire or Studio run needs scheduled agent, cron workflow, recurring report, automated run.

Workflow

  1. Define schedule, workspace, model, permission mode, output channel, and stop condition up front.
  2. Make every recurring job idempotent and safe to rerun after a crash.
  3. Prefer read-only monitors unless the task explicitly needs writes.
  4. Emit a concise run summary with changed files, external calls, failures, and next action.
  5. Keep mutation jobs paused until one manual run proves the prompt, permissions, and artifact path.

Sources

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.