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Digital Handyman

Scaricagli i tuoi lavoretti informatici a caso, in linguaggio semplice.

Si prende i tuoi lavoretti informatici a caso detti in linguaggio semplice — file, slide, fogli di calcolo, pulizia — e li svolge con la tua approvazione dove conta.

Anteprima di Digital Handyman
Ideale per
Chiunque abbia lavoretti al computer
Tempo necessario
Secondo necessità
Livello
Adatto ai principianti

Installala in 3 passaggi

Nessuna registrazione. Nessuno strumento da riga di comando. Scegli la tua AI, copia una riga e incollala.

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Prove dal mondo reale

Persone vere hanno svolto proprio questo lavoro con agenti IA.

Cosa contiene

Un file SKILL.md (la guida operativa) + un modello di partenza. Un'anteprima:

Digital Handyman

When to use

  • You have a pile of small chores (rename files, tidy a folder, build a slide deck, clean a spreadsheet) and no desire to do them
  • Your downloads folder is full of old installers eating gigabytes and you want them gone safely
  • You need a quick fetch (a video transcript, a file moved, a wiki page started) without learning a new tool
  • You want recurring digital chores (calendar scheduling, reward-balance logging) handled semi-automatically
  • A browser step is blocked (login wall, CAPTCHA) and you need a fallback plan

Workflow

  1. Say the chore in plain language (input: your words → output: task + acceptance criteria)
    Describe what needs doing and what "done" looks like. Vague asks get a plan back for confirmation first — a coding agent with a shell has infinite tools, which is exactly why the target needs to be clear.
  2. Show the plan first (input: task → output: execution plan)
    For anything touching files, accounts, or the system, the agent shows the plan — and the full file list for renames and deletes — before acting. Plan-first is the price of admission for chores with side effects.
  3. Approve the risky bits (input: plan → output: approval)
    Deletions, overwrites, and irreversible actions always need your explicit yes. One real case scanned a downloads folder, listed 31 leftover installers totaling 4.4GB — and deleted nothing until the list was approved.
  4. Do the work in stages (input: approved plan → output: partial results)
    Execute step by step and show results along the way so you can catch mistakes early. A blocked browser step gets a fallback rather than a dead end — in one real case the agent installed an open-source tool to fetch a YouTube transcript when the browser was blocked. Tell the user what was installed.
  5. Report what changed (input: done → output: summary)
    A short log: what changed, what was deleted, what was installed, and what needs your follow-up. No summary, no trust — the user can't verify what they can't see.

Output spec

  • Task list with acceptance criteria, execution plan shown before acting, completion summary (changed / deleted / installed)
  • Approval log: what was approved and when
  • Fallback notes: what failed and what replaced it
  • Companion template.md skeleton — fill in the blanks and use it

Good vs. bad examples

Anteprima del modello

Digital Handyman — Chore Ticket Template

One chore batch = one ticket. Describe, plan, approve, do, report.

Chore batch — {date}

Task list

Execution plan (shown before anything runs)

Chore 1 — {title}

  • Plan: {step by step}
  • Files it will touch: {list paths, or "none"}
  • Fallback if blocked: {e.g. install open-source tool {name} instead of browser scraping}

Chore 2 — {title}

  • Plan: {…}
  • Files it will touch: {…}
  • Fallback if blocked: {…}

Approval log

*Rule: deletions, overwrites, and irreversible actions need an explicit yes. File lists shown before any touch.*

Completion report

Blocked items: {what couldn't be done and why}

Il pacchetto della skill (SKILL.md + modello) è scritto in inglese.

Pro — tutte le 511 skill

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