W

wizard

by @mattpocockv
4.9(120)

此技能生成交互式 Bash 向导,引导用户完成手动、重复性高的操作,如第三方服务设置、一次性迁移或状态转换。它能自动打开 URL、捕获值、确认步骤,并写入 .env 文件和 GitHub Actions secrets,显著提升操作效率和准确性。

bashautomationclisetupworkflowGitHub
安装方式
npx skills add https://github.com/mattpocock/skills --skill wizard
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Before / After 效果对比

1 组
使用前

在没有这个技能之前,用户需要手动执行复杂的第三方服务设置或一次性迁移,过程繁琐、耗时且容易出错,每次操作都需要重新记忆或查阅大量文档,导致效率低下和配置不一致。

使用后

此技能通过交互式向导,将复杂的手动流程标准化和自动化。用户只需跟随指引,即可快速、准确地完成设置和迁移,大幅减少了操作时间、错误率和重复性工作,确保了配置的一致性。

SKILL.md

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 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.

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 — 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.

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.

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统计数据

安装量546.2K
评分4.9 / 5.0
版本
更新日期2026年10月23日
对比案例1 组

用户评分

4.9(120)
5
37%
4
43%
3
13%
2
5%
1
2%

为此 Skill 评分

0.0

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时间线

创建2026年6月30日
最后更新2026年10月23日
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