wizard
Skill2 starsChanged 3 months agoMITView on GitHub
Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.
- Reads credentials
170 other projects use a version of this, 130 of them edited; 4 new projects in the last 4 weeks, against 2 the 4 before.
Adopted by
Rising: 4 new projects took it in the last 4 weeks, 2× the 4 weeks before.thin data
Most recently taken up by
- SantiagoVqz/claude-skillstheir own version, first seen Nov 8, 2026
- domengabrovsek/agent-configedited, first seen Nov 8, 2026
- domengabrovsek/claudeedited, first seen Nov 8, 2026
- The-Vibe-Company/quivredited, first seen Nov 8, 2026
- 5thlayer/skillworksedited, first seen Nov 8, 2026
- dfirmin/compassedited, first seen Nov 8, 2026
Used with
Projects with it also use setup-skills and batch-grill-me.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
GitHubSkillsetup-skills
Configures shared sources and drafts context with independent writers. Plain/fresh setup offers installation of user-named packages and reuses built-in browser capabilities, adding browser tooling only for an evidenced required-check gap. Use for setup, source repair, writing context or refreshing drafts. Configure-only skips tooling and authoring; installations and activation require separate approval.
Also in 7 projects that use this
boyingliu01Skillbatch-grill-me
A relentless interview that asks every frontier question at once, round by round. Thin alias of `grilling` (#540) — upstream mattpocock/skills absorbed this protocol into grilling; XP-Gate keeps this name as the sprint-flow Phase 2 entry point so orchestration docs stay stable.
Also in 6 projects that use this
Other versions170 projects use a version of this.
Word for word · 14
- bestofjs/bestofjs★ 3.1k100% same
- hcloud-talos/terraform-hcloud-talos★ 362100% same
- lezli01/vincent★ 28100% same
- alp82/curia★ 15100% same
- AndyMelnykov/TeamOSTemplate★ 2100% same
- MalcolmMcNeely/skillworks★ 2100% same
- shiggydoodah/skills★ 2100% same
- birdmanmandbir/skills★ 1100% same
- jjsizemore/jjskills★ 1100% same
- Yeseh/skills★ 1100% same
4 more not listed
Edited · 130
- mattpocock/skills★ 309k99% same
- QuivrHQ/quivr★ 40k99% same
- The-Vibe-Company/quivr★ 40k99% same
- ArcReel/ArcReel★ 6.3k99% same
- withcoral/coral★ 4.9k99% same
- CelestoAI/SmolVM★ 1.2k99% same
- moeru-ai/xsai★ 66799% same
- nodetool-ai/nodetool★ 61583% same
- aws/graph-explorer★ 49099% same
- itsmylife44/cliproxyapi-dashboard★ 28399% same
120 more not listed
Wrote their own version · 26
- vinvcn/mattpocock-skills-zh-CN★ 5.5ksame name
- devcxl/mattpocock-skills-zh★ 522same name
- vlad-ko/claude-wizard★ 71same name
- WenWuZhiDao/mattpocock-skills-zh★ 27same name
- Nenyax-AI/Nenyax★ 9same name
- ek33450505/claude-agent-team★ 8same name
- imMamdouhaboammar/matts-skills-into-chatgpt★ 8same name
- Boom-Vitt/skills-thai★ 5same name
- KroxiDev/engineering-skills★ 4same name
- malinskibeniamin/skills★ 4same name
16 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository44 other files it gives its agents.
- AGENTS.mdAGENTS.md
- acceptSkill
- ask-mattSkill
- buildSkill
- claude-handoffSkill
- codebase-designSkill
- code-reviewSkill
- diagnosing-bugsSkill
- domain-modelingSkill
- explainSkill
- git-guardrails-claude-codeSkill
- grillingSkill
- grill-meSkill
- grill-with-docsSkill
- handoffSkill
- implementSkill
- improve-codebase-architectureSkill
- loop-meSkill
- matlab-performance-optimizerSkill
- matlabSkill
- matstudylab-bootstrapSkill
- migrate-to-shoehornSkill
- modifySkill
- newSkill
- prototypeSkill
- researchSkill
- resolving-merge-conflictsSkill
- scaffold-exercisesSkill
- setup-matt-pocock-skillsSkill
- setup-pre-commitSkill
- setup-ts-deep-modulesSkill
- tddSkill
- teachSkill
- to-questionnaireSkill
- to-specSkill
- to-ticketsSkill
- triageSkill
- wait-whatSkill
- wayfinderSkill
- writing-beatsSkill
- writing-for-agentsSkill
- writing-fragmentsSkill
- writing-great-skillsSkill
- writing-shapeSkill
The file
We split this skill into the rules it gives an agent
2 rules. 1 is common, 0 are distinctive, and 1 is very specific to this project.
1
Common
Most of the 140 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Common: line 31
Done when: every stage traces to concrete instructions a stranger could follow.
- Very specific: line 43
Don't run it end-to-end yourself — it opens browsers and blocks on human input.
“Common” is measured: kept by at least 6 in 10 of the 140 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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/*(everysecrets.*/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 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>; runshellcheckif 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_secretname exactly matches asecrets.*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.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

