16 free chapters open · Free studio skills during beta Start from Level 1
newbieskill
newbieskill
Newbie AI
Website Deployment SuiteViral Content SuiteOffice Productivity SuiteIndie Monetization Suite
Skills Pricing
Language:
English 繁體中文 日本語 Español
Real output · checks recorded Real sample · Markdown
30-second walkthrough

An actual one-shot unattended run

Three hidden workers were launched by separate parent commands, which returned before the due time. Two workers inventoried different actual folders and one recorded a real missing-folder failure.

Each retained due/start/finish timestamps, distinct launcher/worker process IDs, exit status and log. The inventory values were reconciled to the source folders.

This is a local one-shot deterministic workflow, not a recurring service or a new model session. The running computer is required.

Sample shown exactly as generated without alteration Download full sample
Runtime Codex Executed by your Agent; model tokens billed by provider
Test environment:
Codex · Windows
Agent/model charges depend on your provider. Extra services and requirements are listed in the package.
Node.js 18+; computer stays running

Used in which quest stages

Skills are gear on your AI journey. Connect with main quests for practice and mastery.

4-3 · Unattended Scheduled Execution →

Continue with this result: Publishing, Sharing, and Monetization →

✓ Good fit
  • AI beginners following the main quest
  • Start from the matching lesson; no previous task completion is inferred from a page view.
⊗ Not for
  • Unattended work beyond the selected task or unreviewed account access
✦ What you get
  • A separate delayed worker and failure log
  • A saved result and its provenance
  • Task-specific checks and a useful next step

Deliverables: complete SKILL.md rule specification + verified sample. Runs locally in your AI Agent.

How to start?

A Skill is a set of rules teaching AI how to get tasks done.

Get & Install ↑
1
Bring your material
Configure one of your skill workflows to run unattended on a schedule.
2
Let your Agent follow the Skill
Implement a headless unattended scheduled execution of your agent workflow
3
Open and check the saved result
Produced the expected output with zero human intervention
Send to your AI Agent

Use automation to help me complete this task. Ask for missing material, use actual tools, save the result, and check it against the learning criteria.

Before you start The evidence states its exact scope. Model output and permissions depend on your Agent. Automatic discovery is not established by extracted files. Agent/model charges depend on your provider. Extra services and requirements are listed in the package.

Get started here

The zip ships the rules, the reference library, the scripts, the real outputs and the demo — not just a prompt file.

Download full pack (.zip) Download SKILL.md
  1. Open Codex or Claude Code and paste the installation prompt.
  2. Let the Agent read and save the full rules, then confirm discovery.
  3. Copy the usage prompt above, insert your materials, and execute.
Manual installation · View complete SKILL.md (58 lines)

Codex：~/.agents/skills/automation/SKILL.md
Claude Code：~/.claude/skills/automation/SKILL.md

--- name: automation description: Schedule one bounded local Skill workflow for a later time, then verify the unattended result, timing and failure log. Use when a learner has an already-working workflow and wants a first observable automation run. --- # Let a small workflow run once Main quest 4-3. Start with one bounded, reversible run before recurring jobs. ## Define the run Choose an already-tested workflow, source folder, new result folder and execution time. State side effects and dependencies. Keep the first exercise to local public practice data. Do not schedule sending, spending, deleting or publishing unless that exact action is already authorized. For recurrence use the Agent/app's supported automation system; this package's helper is a local one-shot timer. The helper needs Node.js 18+, a running computer and a process that survives until execution. It does not wake a sleeping computer, persist after restart or run a new language-model session. ## Local first exercise The included workflow observes direct children of a selected folder using the first-agent helper. Inspect the plan before launching. Paths are resolved relative to the plan file. The result directory must not exist; the helper preserves prior runs instead of overwriting them. Use a short delay for practice and a new directory for each run: ```text node <installed-skill>/scripts/schedule-once.mjs <plan.json> ``` Plan fields: `source`, `jobDirectory`, `delayMs` (1000–60000). The parent starts one separate hidden local worker and exits. The worker writes scheduled/due/start/finish times, process ID, exit status and log. Read `references/automation-check.md` to interpret what the receipt proves. To stop a pending practice run, use the printed process ID only after checking that it belongs to this job; do not kill unrelated processes. ## Verify after the due time Read `status.json`, `job.log` and, on success, `result.json` in the job directory. Check that start was at or after due time and that the child process differs from the launcher. Reconcile observed filenames to the actual source folder. For a missing source, expect FAILED and an error log, not an empty success result. If the computer stopped or the worker did not complete, record UNKNOWN or FAILED rather than claiming unattended success. Do not interpret a scheduled record as proof of execution. ## Self-tests and failure criteria 1. Schedule observation of a public folder with two different named files; leave the worker to execute and reconcile the delayed result. 2. Use a separate Unicode-named folder with different contents and a new job directory; verify the different inventory. 3. Schedule a nonexistent source. Verify nonzero workflow exit, FAILED status and no successful result file. 4. An existing job directory must be preserved and scheduling must refuse to reuse it. Failure means running before due time, an overwritten result, an unlogged failure or a completion claim without an actual worker result. ## Continue Return `/path/automation/`. Next `/path/publish-skill/`: publish a version only after its package and examples are verified. Original free workflow. No extra API or service fee; Agent/model fees remain separate.

FAQ for beginners

Clear answers before you start, smooth execution when you run.

How do I start? +
Download the complete ZIP and give the install prompt to your Agent. Keep its scripts and reference files together. Model charges are separate.
Is this main quest Skill free? +
Yes. The foundational main quest is free. Optional advanced Studio products keep their individual pricing.
newbieskill Membership

A solution for every repetition.

One subscription unlocks all Studio Skills. Only need this one? Grab it individually.

Compare full plans
Free Unattended Scheduled Execution
Get Skill