scheduled-jobs
Skill13 starsChanged 3 days agoMITView on GitHub
Schedule and debug local jobs with systemd timers or macOS launchd.
6 other projects use a version of this.
Adopted by
Most recently taken up by
- fmind/dotfilesword for word, first seen Nov 8, 2026
- Happy-Technologies-LLC/happy-platform-skillstheir own version, first seen Nov 1, 2026
- KMaruthi2002/universal-llm-skillstheir own version, first seen Oct 25, 2026
- orangehrm/orangehrmtheir own version, first seen Oct 8, 2026
- w2ur/claude-code-setuptheir own version, first seen Sep 4, 2026
- aborroy/aiup-alfrescotheir own version, first seen Jun 22, 2026
Other versions6 projects use a version of this.
Word for word · 1
- fmind/dotfiles★ 13100% same
Edited · 0
None found.
Wrote their own version · 5
- orangehrm/orangehrm★ 1.1ksame name
- Happy-Technologies-LLC/happy-platform-skills★ 41same name
- aborroy/aiup-alfresco★ 14same name
- w2ur/claude-code-setup★ 2same name
- KMaruthi2002/universal-llm-skills★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository67 other files it gives its agents.
- AGENTS.mdAGENTS.md
- dot_agents/AGENTS.mdAGENTS.md
- skills/repository-docs/references/agents.mdAGENTS.md
- chezmoiSkill
- dot-developmentSkill
- dot-releaseSkill
- dot-skillsSkill
- dot-verifySkill
- acliSkill
- agent-evaluationSkill
- agent-frameworksSkill
- agent-harnessesSkill
- agent-projectSkill
- agent-protocolsSkill
- agySkill
- airflowSkill
- auth-statusSkill
- awsSkill
- bfSkill
- chrome-devtoolsSkill
- clipboardSkill
- cloud-runSkill
- code-securitySkill
- colabSkill
- databricksSkill
- diagrams-as-codeSkill
- dockerSkill
- documentation-siteSkill
- dot-cliSkill
- dprintSkill
- draft-docSkill
- draft-mailSkill
- duckdbSkill
- fmind-visualsSkill
- full-reviewSkill
- gcloudSkill
- ghSkill
- git-deliverySkill
- github-actionsSkill
- github-issuesSkill
- github-pull-requestSkill
- github-repositorySkill
- google-developerSkill
- gwsSkill
- hfSkill
- infra-as-codeSkill
- kaggleSkill
- kubernetesSkill
- lesson-learnedSkill
- mcp-setupSkill
- miseSkill
- model-providersSkill
- playwrightSkill
- project-scaffoldingSkill
- python-mlopsSkill
- python-stackSkill
- python-webSkill
- repository-docsSkill
- skillifySkill
- <name>Skill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 3 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 15
Run an existing bounded command through the native user scheduler and prove its outcome.
- Distinctive: line 20
Keep definitions in the owning repository: call an existing bounded command by absolute path with locked dependencies and one writer lock.
- Very specific: line 25
Workstation units live in fmind/dot: put them in dot_config/systemd/user/, enable timers through a managed timers.target.wants symlink, and …
- Distinctive: line 30
Stay in user space: do not enable system services or lingering merely to keep a laptop job alive.
“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.
Files
Scheduled Jobs
Run an existing bounded command through the native user scheduler and prove its outcome. python-script owns program code, and mise owns task commands.
Workflow
- Choose the native owner: Linux user timers or macOS LaunchAgents; keep an existing project scheduler unless migration is requested, and leave harness-native agent schedules to the host skill.
- Keep definitions in the owning repository: call an existing bounded command by absolute path with locked dependencies and one writer lock; enable it only after the user approves its recurring effects and schedule.
- Prove a scheduler-triggered run: a manual run, valid unit, or enabled timer is partial evidence; check the real triggered run and its application result.
Owner conventions
- Workstation units live in fmind/dot: put them in
dot_config/systemd/user/, enable timers through a managedtimers.target.wantssymlink, and add each unit's hash torun_onchange_after_systemd-user-reload.sh.tmpl, which runssystemctl --user daemon-reloadon apply. - Never restart the agy daemon from apply: it may host this remote-control session; the reload hook only prints the restart command.
Gotchas
- Stay in user space: do not enable system services or lingering merely to keep a laptop job alive; explain when the requested availability exceeds a user session.
- Never blindly replay a timed-out mutation: decide whether a missed run is skipped or coalesced, and resume only from current state.
Documentation
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
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.

