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Wizard TEXT

Generates an interactive bash script that guides a human through manual infrastructure setup, credential provisioning, or one-off migrations by opening URLs, capturing inputs, and writing to environment files or CI secrets.

4 uses this weeksource mattpococklicence MIT
Quality gate: FAIL · better answers · measured 2026-10-24
Blind-judged against the bare model on 2 requests: average lift -18.5 points (specificity, structure, method, fit).
won 0/2, lift -18.5, tokens ×31.12
Security scan: review · 2026-10-24 · 3 files · ran in sandbox
something a person should read before trusting it: external-hosts ×1 · hosts: dashboard.stripe.com.

Try asking

Say it in your own words; the assistant finds this recipe by itself. Examples:

“Lav en bash-wizard til at konfigurere vores nye Azure-miljø. Den skal guide mig gennem oprettelsen af en service principal og gemme kernerne i .env.”
“Jeg skal migrere vores data fra en lokal MySQL til en cloud-instans. Skriv et script, der fører mig gennem eksporten, opdateringen af forbindelsesstrengen og den endelige godkendelse.”
“Generér et opsætnings-script til vores nye SendGrid-integration. Det skal åbne dashboardet, lade mig kopiere API-nøglen og gemme den som en GitHub-secret.”
“Create a bash wizard to set up our new AWS account, guiding me through creating the IAM user and capturing the access keys into .env.”
“I need to migrate our database from Heroku to RDS. Write a script that walks me through the export, the connection string update, and the final cutover confirmation.”
“Generate a setup script for our new Stripe integration. It should open the dashboard, let me copy the API key, and save it to GitHub secrets.”
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Good for

bashwizardprovisioningcredentialsci-secretsmigrationinteractive-scriptsetup-automation

Not for

Do not use this for tasks that can be fully automated via API calls or CLI commands without human intervention, as a standard automation script or agent action would be more appropriate. It is not for simple file edits or code refactoring that do not require external manual steps.

Details

When it is the right choice

Use this when a user needs to set up new infrastructure, configure third-party services, or run a one-time migration that requires human interaction with external dashboards or manual verification steps. It is ideal for creating a repeatable, guided script for tasks that involve copying keys from web interfaces or performing irreversible actions that cannot be fully automated by the agent.

The full recipe the assistant reads

Wizard

A wizard is a bash script that walks a human, step by step, through a manual procedure that's tedious to do by hand and tedious to re-explain to an AI every time. It opens each URL, says exactly what to click and copy, captures the values, writes them where they belong (.env, GitHub secrets), confirms at every stage, and shows how many stages are left. It might configure third-party services, run a one-off migration, or move the project from one state to another.

The delightful UX is already solved by template.sh: stage-by-stage progress, confirmation gates, cross-platform URL opening (including WSL), hidden secret entry, idempotent .env upserts, gh secret/gh variable writes, and a closing summary. Your job is only to scope the procedure and author its stages. The library above the STAGES marker is identical in every wizard; that consistency is the point: never hand-edit it.

A wizard is ephemeral by default: built for one run, saved to a scratch or scripts/ path, deleted when the job's done. Commit it only when the user wants a repeatable setup path that should live in the repo.

Process

1. Scope the procedure

Work out every manual step the human must take and every value that gets captured along the way. Read the repo first, don't ask cold:

  • For setup: .env, .env.example, .env.*, README, docker-compose*, framework config, and .github/workflows/* (every secrets.* / vars.* reference is a value the wizard must produce).
  • For a migration or transition: the current state, the target state, and the irreversible actions between them.

Then show the user the ordered list of stages and the values each produces, and confirm: they may add, drop, or reorder.

Done when: every stage is named in order, and for each captured value you know (a) where the human gets it, (b) where it's written (.env, a GitHub secret, both, or nowhere; some stages are pure actions), and (c) whether it's secret (hidden entry) or public.

2. Map each stage's journey

For each stage, write the precise path a human follows: which URL to open, what to do there, where a value is shown, which variable it fills: e.g. "Dashboard → Developers → API keys → Reveal test key → copy". Where you don't actually know the current UI or the exact command, say so and ask the user or check the docs: never invent steps that may not exist.

Done when: every stage traces to concrete instructions a stranger could follow.

3. Author the wizard

Copy template.sh to the target path. Replace the example stage with one stage per step, in dependency order. Use the library helpers: stage, say/step, open_url, ask/ask_secret, write_env, set_secret/set_var, pause/confirm. Set TOTAL_STAGES to the number of stages you wrote.

Hold the bar the template sets: open the URL before asking for its value, use ask_secret for anything secret, write_env every persisted value, set_secret only the values CI actually needs, and confirm before any irreversible action. Each stage clears the screen so only the current step is visible: keep a stage to one focused task so nothing the human needs scrolls away. Don't touch the library above the marker.

4. Verify and hand off

  • bash -n <script>; run shellcheck if available.
  • chmod +x <script>.
  • Don't run it end-to-end yourself: it opens browsers and blocks on human input. Trace it statically instead: every value from step 1 is captured and lands where step 1 said, and every set_secret name exactly matches a secrets.* reference in CI.
  • Tell the user how to run it. If it's a repeatable setup path, commit it and link it from the README so the next person runs the script instead of asking an AI.
Files in this skill (4)
  • LICENSE
  • SKILL.md
  • agents/openai.yaml
  • template.sh
Where it comes from

Vendored from mattpocock/skills, commit 5beb35b040e3, path skills/engineering/wizard, licence MIT. The upstream licence file ships inside the skill.