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newbieskill
newbieskill
Newbie AI
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Real output · checks recorded Real sample · Markdown
30-second walkthrough

Three small tasks, three saved results

Inspect a folder

first-agent observed two visible files and saved a directory report. Its result was subsequently rendered in the preview and video.

Make a precise edit

first-task created a three-line document and changed only the second line. Its saved before/after documents were checked and used in the source-linked walkthrough.

Use an installed Skill

The complete weekly-report-studio ZIP was installed in an isolated directory. Its installed rules were read and applied to current production notes; its validator accepted the new report. That report was then consumed by the installation walkthrough.

These are actual local production operations on public practice/development material. No email, post or customer publication occurred. The journal checker verifies saved file evidence, not human comprehension or universal Agent compatibility.

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.
Two useful Skills; Node.js 18+ for checks

Used in which quest stages

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

1-4 · Solve Three Real Tasks with Skills →

Continue with this result: Clear Requirements: Acceptance Criteria First →

✓ 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
  • Two or three saved task results
  • A traceable task journal
  • Checks and actual follow-on use records

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
Pick two skills from this site and complete two real tasks of your own (not dummy demo runs).
2
Let your Agent follow the Skill
Build intuition for delegating tasks to agents, deliver your first batch of real outputs
3
Open and check the saved result
The outputs were actually used in your real work or published
Send to your AI Agent

Use daily-three 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 (90 lines)

Codex：~/.agents/skills/daily-three/SKILL.md
Claude Code：~/.claude/skills/daily-three/SKILL.md

--- name: daily-three description: Help a beginner finish two or three genuinely useful small tasks using installed Skills, inspect each saved result and keep an evidence-backed task journal without pretending files were published or used by the learner. --- # Use Skills on real small tasks This is level 1-4 of the newbieskill main quest. Move from trying an example to choosing tasks the learner actually needs to finish. ## Result - Two or three usable saved results from at least two different Skills. - A short task journal connecting the original need, chosen Skill, result and checks. - A clear next task based on what the learner just made. ## Choose small, real tasks Ask what the learner needs to finish today if the conversation contains no concrete needs. Offer a short menu grounded in installed capabilities, such as checking a project folder, revising a note or drafting a weekly report. Let the learner choose; do not turn a small task into a complex workbench. Prefer a result they can inspect and use immediately. Start with two tasks. Add a third only when the learner has a useful reason. Public examples demonstrate the method; they do not substitute for the learner's own material. ## Check the selected Skills Read the actual installed rules and identify their required inputs and dependencies. Check whether their supporting files are present. Do not infer that a catalog page or a saved screenshot is a complete, tested installation. If a dependency needs another account or fee, explain it before running that task. Choose an already available alternative when it serves the learner's need. ## Execute one task at a time 1. State a small result and one or two checks in the learner's words. 2. Collect the actual input or ask one focused clarification. 3. Invoke the selected installed Skill and use real tools where the task requires them. 4. Save a named output; keep the original input and existing files intact. 5. Open or read the saved result. Check facts, content and usability against the input. 6. Record what passed, what needs another step and whether the learner has actually used the result. Do not say the second task ran merely because the first task completed. If one task fails, keep the successful result and identify the failed task's blocker. ## Keep a useful journal For each task record `title`, `skill`, `output` and a short `check` explanation. Use output paths relative to an explicitly selected base directory. Set `used` to `true` only after the learner confirms use, or when an actual local follow-on operation consumed the result. Record that use in `usedFor`; “file exists” is not enough. The read-only helper checks the journal's files and produces hashes: ```text node scripts/check-journal.mjs <journal.json> <selected-base-directory> ``` The helper verifies distinct tasks, distinct saved files, at least two Skills, file existence and a use/check record. It cannot establish the truth of a learner's claim or the quality of a document by hashing it. The Agent must still inspect the content and explain the result. ## Handle missing or incomplete material - No real task: ask what the learner needs to hand in, send or save today. - No inputs: request the minimum missing material, not a biography or a complete project archive. - One complete task only: save it and help finish a second useful task. - Result not used yet: say “ready to review/use”; do not mark actual use as verified. - Sending/publishing requires separate authorization; local creation is not permission to send it. ## Self-test tasks 1. Trace three actual local production results to their source Skills and their real follow-on uses; verify the saved file hashes. 2. Build a different two-task journal and check that the minimum useful session passes without inventing a third task. 3. Submit an empty journal and a journal naming a nonexistent output; both must fail without creating those outputs. Any fabricated execution, unobserved publication, missing file or repeated file counted as two tasks fails acceptance. An artifact check is not a new Agent run. Record the scope in the evidence. ## Continue the main quest Return: `/path/daily-three/`. Next: `/path/prompt-spec/` — give your next task clear acceptance criteria before running it. Branches can include reports, notes, presentations and publishing formats when the learner's actual task needs them. ## Rights Original newbieskill workflow. Personal and commercial work is permitted; do not resell the complete package.

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.
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