Generate an interactive bash wizard that walks a human through a manual procedure — third-party setup, a one-off migration, an A→B state transition — opening URLs, capturing values, confirming each step, and writing .env files and GitHub Actions secrets.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionwizardExecute the skills CLI command in your project's root directory to begin installation:
Fetches wizard from mattpocock/skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate wizard. Access via /wizard in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
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Review drafts, suggest improvements, catch errors
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| name | wizard |
| description | Generate an interactive bash wizard that walks a human through a manual procedure — third-party setup, a one-off migration, an A→B state transition — opening URLs, capturing values, confirming each step, and writing .env files and GitHub Actions secrets. |
| disable-model-invocation | true |
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 much is 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 — progress with time-remaining, 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.
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:
.env, .env.example, .env.*, README, docker-compose*, framework config, and .github/workflows/* (every secrets.* / vars.* reference is a value the wizard must produce).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.
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.
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 — and set TOTAL_STAGES and TOTAL_MINUTES to honest estimates (this drives the time-remaining display).
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.
bash -n <script>; run shellcheck if available.chmod +x <script>.set_secret name exactly matches a secrets.* reference in CI.Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
mattpocock/skills
mattpocock/skills
mattpocock/skills
mattpocock/skills
mattpocock/skills
mattpocock/skills
Useful defaults in wizard — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
wizard is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
wizard fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: wizard is focused, and the summary matches what you get after install.
Registry listing for wizard matched our evaluation — installs cleanly and behaves as described in the markdown.
wizard has been reliable in day-to-day use. Documentation quality is above average for community skills.
wizard reduced setup friction for our internal harness; good balance of opinion and flexibility.
wizard is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in wizard — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added wizard from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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