feat: graduate wizard into the engineering bucket

Move `wizard` out of in-progress into `engineering/` and wire it up as a
promoted skill: plugin.json entry, top-level + Engineering READMEs under
User-invoked, a docs page at docs/engineering/wizard.md, and a Standalone
route in ask-matt for the steps only a human can take.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

.changeset/graduate-wizard.md

@@ -0,0 +1,11 @@
+---
+"mattpocock-skills": minor
+---
+
+Graduate **`wizard`** out of `in-progress/` into the **Engineering** bucket, so it ships in the plugin. It generates an interactive bash script that walks a human through a manual procedure — third-party setup, a one-off migration, an A→B state transition — opening each URL, saying what to click, capturing the values, and writing them into `.env` files and GitHub Actions secrets.
+
+The delightful UX is pre-solved by the bundled `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 with graceful degradation, closing skip summary). Everything above the `STAGES` marker is a fixed library that's never hand-edited — the skill's job is only to scope the procedure and author its **stages**.
+
+Engineering rather than Productivity: it reads `.env*`, `docker-compose*`, framework config and every `secrets.*`/`vars.*` reference in `.github/workflows/` to scope itself, writes CI secrets, and verifies its output with `bash -n` and `shellcheck`.
+
+Now wired as a promoted skill — plugin entry, top-level + Engineering READMEs under **User-invoked**, a docs page at `docs/engineering/wizard.md`, and a Standalone route in `ask-matt` for the steps only a human can take.

.changeset/grilling-round-by-round.md

@@ -1,5 +0,0 @@
----
-"mattpocock-skills": patch
----
-
-Rework **`grilling`** from one-question-at-a-time to round-by-round. It now maps the decision tree and asks the whole **frontier** — every question whose prerequisites are already settled — in a single numbered round, then recomputes the frontier from the user's answers and asks the next round. Same 13 questions land in ~3 rounds instead of 13. Facts the environment can answer are dispatched to background sub-agents so research never blocks the round: only questions downstream of a running exploration wait for it. The session ends when the frontier is empty.

.changeset/prototype-logic-shareable-html.md

@@ -1,5 +0,0 @@
----
-"mattpocock-skills": minor
----
-
-Reshape the **`prototype`** skill's logic branch to produce a **single shareable HTML file** instead of a terminal app. The demo is one self-contained file (plain HTML/CSS/JS, no build, no server) a non-developer can open by double-click and drive in their own domain language: a labelled state panel, always-available free-play buttons, and a set of tabbed **guided walkthroughs** — each a scenario with the ordered buttons to press underneath it. The portable pure-logic module still lifts into the real code; the HTML shell is the throwaway primary source.

.claude-plugin/plugin.json

@@ -36,6 +36,7 @@
     "./skills/engineering/codebase-design",
     "./skills/engineering/code-review",
     "./skills/engineering/resolving-merge-conflicts",
+    "./skills/engineering/wizard",
     "./skills/productivity/grill-me",
     "./skills/productivity/grilling",
     "./skills/productivity/handoff",

README.md

@@ -22,49 +22,64 @@ If you want to keep up with changes to these skills, and any new ones I create,
 
 [Sign Up To The Newsletter](https://www.aihero.dev/s/skills-newsletter)
 
-## Quickstart (30-second setup)
+## Installation (30-second setup)
 
-1. Run the skills.sh installer:
+Two ways in, two philosophies. **The [Claude Code plugin](https://code.claude.com/docs/en/plugins)** installs the whole set as a managed, read-only bundle that updates when I ship — you subscribe rather than fork. **[skills.sh](https://skills.sh/mattpocock/skills)** copies editable skill files into your project, so you can hack on them and make them your own. Pick one — installing both leaves you with every skill twice.
+
+### 1. Get the skills
+
+<details>
+<summary><strong>Claude Code</strong></summary>
+
+```bash
+claude plugins install mattpocock-skills
+```
+
+Or, from inside a session:
+
+```
+/plugin install mattpocock-skills
+```
+
+It's in Claude Code's official marketplace, so there's nothing to add first, and updates arrive automatically.
+
+</details>
+
+<details>
+<summary><strong>Codex, and other agents</strong></summary>
 
 ```bash
 npx skills@latest add mattpocock/skills
 ```
 
-2. Pick the skills you want, and which coding agents you want to install them on. **Make sure you select `/setup-matt-pocock-skills`**.
+Pick the skills you want, and which coding agents to install them on. **The installer lets you choose which skills to take — make sure `setup-matt-pocock-skills` is one of them.**
 
-3. Run `/setup-matt-pocock-skills` in your agent. It will:
-   - Ask you which issue tracker you want to use (GitHub, Linear, or local files)
-   - Ask you what labels you apply to tickets when you triage them (`/triage` uses labels)
-   - Ask you where you want to save any docs we create
+A native Codex plugin is on the roadmap — see [`.agents/adr/0002-ship-as-a-claude-code-plugin.md`](./.agents/adr/0002-ship-as-a-claude-code-plugin.md).
 
-4. Bam - you're ready to go.
+</details>
 
-## Install as a Claude Code plugin
+<details>
+<summary><strong>For tinkerers</strong></summary>
 
-Prefer a plug-and-play install you don't maintain by hand? These skills also ship as a native [Claude Code plugin](https://code.claude.com/docs/en/plugins). Instead of copying editable files into your repo, the plugin installs the whole skill set as a managed bundle that updates when I ship a new version — you subscribe rather than fork.
-
-Inside Claude Code:
-
-```
-/plugin marketplace add mattpocock/skills
-/plugin install mattpocock-skills@mattpocock
-```
-
-Or from your shell:
+Use the same installer, on any agent — including Claude Code:
 
 ```bash
-claude plugin marketplace add mattpocock/skills
-claude plugin install mattpocock-skills@mattpocock
+npx skills@latest add mattpocock/skills
 ```
 
-Then run `/setup-matt-pocock-skills` once per repo, exactly as in the quickstart above.
+It writes the skills into your repo as ordinary files you own and can edit. Nothing updates behind your back; pull my latest changes when you want them with `npx skills update`.
 
-Two ways to install, two philosophies:
+</details>
 
-- **[skills.sh](https://skills.sh/mattpocock/skills)** copies the skills into your project so you can hack on them and make them your own.
-- **The plugin** keeps them as a read-only, always-current bundle you don't edit — best when you just want my set to work and follow along as it evolves.
+### 2. Run `/setup-matt-pocock-skills`
 
-> Using Codex or another agent? The [skills.sh installer](https://skills.sh/mattpocock/skills) already installs these skills into Codex and other Agent-Skills-standard harnesses today. A native Codex plugin is on the roadmap — see [`.agents/adr/0002-ship-as-a-claude-code-plugin.md`](./.agents/adr/0002-ship-as-a-claude-code-plugin.md).
+In your agent, run it once per repo. It will:
+
+- Ask you which issue tracker you want to use (GitHub, Linear, or local files)
+- Ask you what labels you apply to tickets when you triage them (`/triage` uses labels)
+- Ask you where you want to save any docs we create
+
+### 3. Bam - you're ready to go.
 
 ## Why These Skills Exist
 
@@ -185,6 +200,7 @@ Skills I use daily for code work.
 - **[to-tickets](./skills/engineering/to-tickets/SKILL.md)** — Break any plan, spec, or conversation into a set of tracer-bullet tickets, each declaring its blocking edges — written as text in a local file, or as native blocking links on a real tracker.
 - **[implement](./skills/engineering/implement/SKILL.md)** — Build the work described by a spec or set of tickets, driving `/tdd` at pre-agreed seams and closing out with `/code-review` before committing.
 - **[wayfinder](./skills/engineering/wayfinder/SKILL.md)** — Plan a huge chunk of work, more than one agent session can hold, as a shared map of investigation tickets on the issue tracker — resolve them one at a time until the way to the destination is clear.
+- **[wizard](./skills/engineering/wizard/SKILL.md)** — 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 each URL, capturing values, confirming every step, and writing `.env` files and GitHub Actions secrets.
 
 **Model-invoked**
 

docs/engineering/prototype.md

@@ -26,10 +26,10 @@ Reach for it when you have a design question that's hard to settle on paper —
 
 The question decides the shape, and there are two shapes:
 
-- **"Does this logic / state model feel right?"** — a single shareable HTML file, free-play buttons plus tabbed guided walkthroughs, that pushes the state machine through the awkward cases and shows the full state after every click, so anyone — including a non-developer — can watch what changes.
+- **"Does this logic / state model feel right?"** — a tiny interactive terminal app that pushes the state machine through the awkward cases, printing the full state after every action so you can watch what changes.
 - **"What should this look like?"** — several radically different UI variations on one route, switchable from a floating bar, so you compare real renders instead of imagining them.
 
-Picking the wrong branch wastes the whole prototype, so the question comes first. Both branches keep state in memory, are trivial to run, and surface the full state on every step.
+Picking the wrong branch wastes the whole prototype, so the question comes first. Both branches keep state in memory, run from one command, and surface the full state on every step.
 
 ## Keep the prototype as a primary source
 

docs/engineering/wizard.md

@@ -0,0 +1,49 @@
+Quickstart:
+
+```bash
+npx skills add mattpocock/skills --skill=wizard
+```
+
+```bash
+npx skills update wizard
+```
+
+[Source](https://github.com/mattpocock/skills/tree/main/skills/engineering/wizard)
+
+## What it does
+
+`wizard` generates an interactive 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 agent every time — wiring up third-party services, running a one-off migration, moving a project from state A to state B. It opens each URL, says what to click and copy, captures what comes back, and writes it where it belongs.
+
+The UX is not yours to design. A [template](https://github.com/mattpocock/skills/blob/main/skills/engineering/wizard/template.sh) already solves it — progress with time-remaining, confirmation gates, cross-platform URL opening (WSL included), hidden entry for secrets, idempotent `.env` upserts, `gh secret` / `gh variable` writes, and a closing summary of anything it had to skip. Everything above the `STAGES` marker is a fixed library that is identical in every wizard and never hand-edited. Your job is only to scope the procedure and author its **stages**.
+
+## When to reach for it
+
+You invoke this by typing `/wizard` — the agent won't reach for it on its own.
+
+Reach for this when the next thing blocking you is a human clicking through a dashboard: a new dev needs six services configured before the app boots, a migration needs someone to flip switches in the right order, or you're about to write those steps into a README that will rot. If the procedure is something the *agent* can just do, it should do it — a wizard is specifically for the steps only a human can take.
+
+## Prerequisites
+
+None to generate one. The wizard it writes runs on bash, and reaches for `gh` when a stage sets a GitHub secret or variable — if `gh` is missing or unauthenticated, that stage degrades to a warning and the closing summary tells the human what to set by hand, rather than failing the run.
+
+## Stages
+
+A **stage** is the unit of authoring and the unit of attention: one focused task, one screen. The script clears between stages, so anything that doesn't fit is anything the human loses. You author them in dependency order and set an honest `TOTAL_STAGES` and `TOTAL_MINUTES`, which is what drives the time-remaining display — the estimate is a promise to the person running it.
+
+Getting there is three steps of scoping before a line is written. The skill reads the repo first rather than asking cold — `.env*`, `docker-compose*`, framework config, and every `secrets.*` / `vars.*` reference in `.github/workflows/`, each of which is a value the wizard must produce — then shows you the ordered stage list to confirm, then maps each stage to the precise path a human follows ("Dashboard → Developers → API keys → Reveal test key → copy"). Where it doesn't know the current UI, it asks or checks the docs; it does not invent clicks that may not exist.
+
+## Ephemeral by default
+
+A wizard is built for one run — saved to a scratch or `scripts/` path, deleted when the job is done. Commit it only when it's a repeatable setup path that should live in the repo, in which case link it from the README so the next person runs the script instead of re-asking an agent.
+
+It's also never run end-to-end by the agent that wrote it: it opens browsers and blocks on human input. Verification is static instead — `bash -n`, `shellcheck` where available, and a trace that every value lands where scoping said it would, with every `set_secret` name matching a real `secrets.*` reference in CI.
+
+## It's working if
+
+- You're shown an ordered list of stages and the values each produces, and asked to confirm, before any script exists.
+- The generated file's library section is byte-identical to `template.sh` — only the block below the `STAGES` marker is yours.
+- Every URL is opened before the value it produces is asked for, secrets use hidden entry, and irreversible actions sit behind a confirmation.
+
+## Where it fits
+
+`wizard` is a reach-for-it-anytime standalone, sitting where automation stops and a human has to click. Its nearest neighbour is [setup-matt-pocock-skills](https://aihero.dev/skills-setup-matt-pocock-skills), because both are run-once setup — that one configures this skill set for a repo, while `wizard` generates setup paths for everything else. It also pairs with [implement](https://aihero.dev/skills-implement): when a build lands a feature that needs credentials or a manual cutover, a wizard is how the human half gets done. When you're unsure which skill fits the moment, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.

docs/productivity/grilling.md

@@ -12,17 +12,9 @@ npx skills update grilling
 
 ## What it does
 
-`grilling` is the relentless interview that stress-tests a plan or design before you build it. It maps the plan as a **design tree** — every decision branches into the decisions that hang off it — and works that tree in **rounds** until you and the agent share the same understanding.
+`grilling` is the relentless interview that stress-tests a plan or design before you build it. It walks down the decision tree branch by branch, resolving the dependencies between decisions one at a time until you and the agent share the same understanding.
 
-Each round asks the whole **frontier**: every decision whose prerequisites are already settled — the questions it can put to you *now* without guessing at answers it hasn't heard yet. Your answers reshape the tree, pushing the frontier outward, and the next round asks whatever that unblocks. Thirteen questions land in a handful of rounds instead of thirteen. Every question comes with the agent's own recommended answer; any *fact* the environment can settle it dispatches to a background sub-agent rather than asking you — and it doesn't block on that research, only the questions downstream of it wait. It won't act on the plan until you confirm the shared understanding has been reached.
-
-### Prefer one question at a time?
-
-If the old one-at-a-time rhythm suited you better, keep it. Add a line to your global `CLAUDE.md`:
-
-```
-When grilling, ask one question at a time.
-```
+It asks **one question at a time** and waits for your answer before the next — never a bulk list, which is bewildering. Each question comes with the agent's own recommended answer, and any question the codebase can settle it explores instead of asking you. It won't start enacting the plan until you confirm the shared understanding has been reached.
 
 ## When to reach for it
 
@@ -32,7 +24,7 @@ Reach for it when a plan or design still has soft spots and you want them surfac
 
 ## The decision tree
 
-The mental model is a **design tree**: every plan branches into decisions, and decisions depend on each other. The **frontier** is the set of decisions whose prerequisites are all settled — the only questions that can be asked without guessing. `grilling` asks the whole frontier at once, then recomputes it from your answers, so a round is exactly the batch of questions that *don't* depend on each other. A question whose answer hinges on another still open this round waits for a later round. Asking in frontier-sized rounds keeps the dependency structure intact while sparing you a question-at-a-time drip.
+The mental model is a **decision tree**: every plan branches into decisions, and decisions depend on each other. `grilling` descends that tree one node at a time, so an early answer can reshape which questions come next. That is why the questions arrive singly and in dependency order — a firehose of parallel questions loses the structure that makes the interview converge on a shared understanding.
 
 ## Pulled out on purpose
 

skills/engineering/README.md

@@ -15,6 +15,7 @@ Reachable only when you type them (Claude Code: `disable-model-invocation: true`
 - **[to-tickets](./to-tickets/SKILL.md)** — Break any plan, spec, or conversation into a set of tracer-bullet tickets, each declaring its blocking edges — text in a local file, or native blocking links on a real tracker.
 - **[implement](./implement/SKILL.md)** — Build the work described by a spec or set of tickets, driving `/tdd` at pre-agreed seams and closing out with `/code-review` before committing.
 - **[wayfinder](./wayfinder/SKILL.md)** — Plan a huge chunk of work — more than one agent session can hold — as a shared map of decision tickets on the issue tracker, resolved one at a time until the way to the destination is clear.
+- **[wizard](./wizard/SKILL.md)** — 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, and writing `.env` files and GitHub Actions secrets.
 
 ## Model-invoked
 

skills/engineering/ask-matt/SKILL.md

@@ -70,6 +70,7 @@ Off the main flow entirely.
 - **`/grill-me`** — the same relentless interview as `/grill-with-docs`, but for when you have **no codebase**. Stateless: it saves nothing locally, builds no `CONTEXT.md`. Reach for it to sharpen any plan or design that doesn't live in a repo.
 - **`/prototype`** — a small, throwaway program that answers one design question: does this state model feel right, or what should this UI look like. Throwaway from day one — keep the answer, delete the code. It's the detour in step 2 of the main flow, but reach for it any time a design question is hard to settle on paper.
 - **`/research`** — delegate reading legwork to a **background agent**: it investigates a question against **primary sources**, then leaves a cited Markdown file in the repo. Keep working while it reads. The file it produces is something to take *into* the main flow at `/grill-with-docs` — research feeds the thinking, it doesn't replace it.
+- **`/wizard`** — for the steps only a **human** can take: clicking through a third-party dashboard, running a one-off migration, moving the project from state A to state B. It generates an interactive bash script that opens each URL, captures each value, and writes it into `.env` and GitHub secrets — so the procedure stops being something you re-explain to an agent every time. If the agent could just do it itself, it should; reach for this only where a human is genuinely in the loop.
 - **`/teach`** — learn a concept over multiple sessions, using the current directory as a stateful workspace.
 - **`/writing-great-skills`** — reference for writing and editing skills well.
 

skills/engineering/prototype/LOGIC.md

@@ -1,15 +1,13 @@
 # Logic Prototype
 
-A single, self-contained HTML file — a **shareable demo** — that lets anyone drive a state model by clicking buttons. Use this when the question is about **business logic, state transitions, or data shape** — the kind of thing that looks reasonable on paper but only feels wrong once you push it through real cases.
-
-Because it's one file with nothing to install, you can hand it to a non-developer — a designer, a PM, a domain expert — and let them feel the model for themselves. So it speaks their language, not the code's.
+A tiny interactive terminal app that lets the user drive a state model by hand. Use this when the question is about **business logic, state transitions, or data shape** — the kind of thing that looks reasonable on paper but only feels wrong once you push it through real cases.
 
 ## When this is the right shape
 
 - "I'm not sure if this state machine handles the edge case where X then Y."
 - "Does this data model actually let me represent the case where..."
 - "I want to feel out what the API should look like before writing it."
-- Anything where someone wants to **press buttons and watch state change**.
+- Anything where the user wants to **press buttons and watch state change**.
 
 If the question is "what should this look like" — wrong branch. Use [UI.md](UI.md).
 
@@ -17,11 +15,17 @@ If the question is "what should this look like" — wrong branch. Use [UI.md](UI
 
 ### 1. State the question
 
-Before writing code, write down what state model and what question you're prototyping. One paragraph, at the top of the demo (in a visible intro, not just a comment). A logic prototype that answers the wrong question is pure waste — make the question explicit so it can be checked later, whether the user is watching now or returning to it AFK.
+Before writing code, write down what state model and what question you're prototyping. One paragraph, in the prototype's README or a comment at the top of the file. A logic prototype that answers the wrong question is pure waste — make the question explicit so it can be checked later, whether the user is watching now or returning to it AFK.
 
-### 2. Isolate the logic in a portable module
+### 2. Pick the language
 
-Put the actual logic — the bit that's answering the question — in a single `<script>` block written as a small, pure module that could be lifted out and dropped into the real codebase later. The page around it is throwaway; this module isn't.
+Use whatever the host project uses. If the project has no obvious runtime (e.g. a docs repo), ask.
+
+Match the project's existing conventions for tooling — don't add a new package manager or runtime just for the prototype.
+
+### 3. Isolate the logic in a portable module
+
+Put the actual logic — the bit that's answering the question — behind a small, pure interface that could be lifted out and dropped into the real codebase later. The TUI around it is throwaway; the logic module shouldn't be.
 
 The right shape depends on the question:
 
@@ -30,38 +34,46 @@ The right shape depends on the question:
 - **A small set of pure functions** over a plain data type. Good when there's no implicit current state — just transformations.
 - **A class or module with a clear method surface** when the logic genuinely owns ongoing internal state.
 
-Pick whichever shape best fits the question being asked, *not* whichever is easiest to wire to a page. Keep it pure: no DOM, no `document`, no button handlers reaching inside it. The page calls into it; nothing flows the other direction. This is what makes the prototype useful past its own lifetime: once the question's answered, the validated reducer / machine / function set lifts into the real module on its own.
+Pick whichever shape best fits the question being asked, *not* whichever is easiest to wire to a TUI. Keep it pure: no I/O, no terminal code, no `console.log` for control flow. The TUI imports it and calls into it; nothing flows the other direction.
 
-### 3. Build the shareable HTML file
+This is what makes the prototype useful past its own lifetime: when the question's been answered, the validated reducer / machine / function set can be lifted into the real module on its own.
 
-One file, plain HTML/CSS/JS — no framework, no bundler, no server, everything inline so it opens by double-click and survives being emailed around. Anyone should be able to run it by opening it.
+### 4. Build the smallest TUI that exposes the state
 
-Write it for a non-developer. Every label is in **domain language**, not code — buttons and state read like the business, not the reducer. Explain in plain words what's happening.
+Build it as a **lightweight TUI** — on every tick, clear the screen (`console.clear()` / `print("\033[2J\033[H")` / equivalent) and re-render the whole frame. The user should always see one stable view, not an ever-growing scrollback.
 
-Lay it out with a clean hierarchy, top to bottom:
+Each frame has two parts, in this order:
 
-1. **Title and one-line explanation** of what this demo lets you explore (the question from step 1).
-2. **Current state** — the full relevant state, rendered as a readable panel (labelled fields, not a raw JSON dump), re-rendered after every click so the change is visible. Where it helps a non-developer follow, call out what just changed.
-3. **Free-play buttons** — one button per action, always available, so anyone can poke at the model in any order. Each click dispatches its action and re-renders the state.
-4. **Guided walkthroughs** — a set of **scenarios**, one per tab. Each tab holds a short plain-language description of the scenario — the situation it sets up and what to watch for — and underneath it, the ordered **buttons to press** for that scenario. Each step is a real button: clicking it performs that action and moves to the next step. Starting a walkthrough resets to a known initial state so the scenario runs the same way every time.
+1. **Current state**, pretty-printed and diff-friendly (one field per line, or formatted JSON). Use **bold** for field names or section headers and **dim** for less important context (timestamps, IDs, derived values). Native ANSI escape codes are fine — `\x1b[1m` bold, `\x1b[2m` dim, `\x1b[0m` reset. No need to pull in a styling library unless one is already in the project.
+2. **Keyboard shortcuts**, listed at the bottom: `[a] add user  [d] delete user  [t] tick clock  [q] quit`. Bold the key, dim the description, or vice-versa — whatever reads cleanly.
 
-Choose scenarios that demonstrate the awkward cases — the happy path, a tricky edge case, an attempt at something that should be illegal — the ones hard to reason about on paper.
+Behaviour:
 
-Keep it beautiful but restrained: clean typography, generous spacing, one accent colour. No animations, no gimmicks — nothing that competes with the state and the buttons.
+1. **Initialise state** — a single in-memory object/struct. Render the first frame on start.
+2. **Read one keystroke (or one line)** at a time, dispatch to a handler that mutates state.
+3. **Re-render** the full frame after every action — don't append, replace.
+4. **Loop until quit.**
 
-### 4. Hand it over
+The whole frame should fit on one screen.
 
-Send them the file, or open it for them. They'll click through the walkthroughs and free-play whenever they get to it; the interesting moments are when they say "wait, that shouldn't be possible" or "huh, I assumed X would be different" — those are the bugs in the _idea_, which is the whole point. If they want new actions or a new scenario, add them. Prototypes evolve.
+### 5. Make it runnable in one command
 
-### 5. Capture the answer and the prototype
+Add a script to the project's existing task runner (`package.json` scripts, `Makefile`, `justfile`, `pyproject.toml`). The user should run `pnpm run <prototype-name>` or equivalent — never need to remember a path.
 
-Once the prototype has answered its question, capture the answer, then capture the prototype the way the [SKILL](SKILL.md) describes. The logic-specific mapping: the validated reducer / machine / function set lifts into the real module (the decision, absorbed); the HTML shell rides along to the throwaway branch that keeps the prototype as a primary source — and being one self-contained file, it stays trivially re-runnable there.
+If the host project has no task runner, just put the command at the top of the prototype's README.
+
+### 6. Hand it over
+
+Give the user the run command. They'll drive it themselves; the interesting moments are when they say "wait, that shouldn't be possible" or "huh, I assumed X would be different" — those are the bugs in the _idea_, which is the whole point. If they want new actions added, add them. Prototypes evolve.
+
+### 7. Capture the answer and the prototype
+
+Once the prototype has answered its question, capture the answer, then capture the prototype the way the [SKILL](SKILL.md) describes. The logic-specific mapping: the validated reducer / machine / function set lifts into the real module (the decision, absorbed); the TUI shell rides along to the throwaway branch that keeps the prototype as a primary source.
 
 ## Anti-patterns
 
 - **Don't add tests.** A prototype that needs tests is no longer a prototype.
-- **Don't wire it to the real database.** Use in-memory state unless the question is specifically about persistence.
+- **Don't wire it to the real database.** Use an in-memory store unless the question is specifically about persistence.
 - **Don't generalise.** No "what if we wanted to support X later." The prototype answers one question.
-- **Don't blur the logic and the page together.** If the pure module references the DOM, `document`, or button handlers, it's no longer liftable. Keep the page as a thin shell over a pure module.
-- **Don't reach for a framework, bundler, or server.** One file the recipient double-clicks; a React app or a dev server defeats "shareable".
-- **Don't ship the HTML shell into production.** The page is optimised for being clicked through by hand. The logic module behind it is the bit worth keeping.
+- **Don't blur the logic and the TUI together.** If the reducer / state machine references `console.log`, prompts, or terminal escape codes, it's no longer portable. Keep the TUI as a thin shell over a pure module.
+- **Don't ship the TUI shell into production.** The shell is optimised for being driven by hand from a terminal. The logic module behind it is the bit worth keeping.

skills/engineering/prototype/SKILL.md

@@ -11,7 +11,7 @@ A prototype is **throwaway code that answers a question**. The question decides
 
 Identify which question is being answered — from the user's prompt, the surrounding code, or by asking if the user is around:
 
-- **"Does this logic / state model feel right?"** → [LOGIC.md](LOGIC.md). Build a single shareable HTML file — free-play buttons plus tabbed guided walkthroughs — that pushes the state machine through cases that are hard to reason about on paper, and that a non-developer can drive.
+- **"Does this logic / state model feel right?"** → [LOGIC.md](LOGIC.md). Build a tiny interactive terminal app that pushes the state machine through cases that are hard to reason about on paper.
 - **"What should this look like?"** → [UI.md](UI.md). Generate several radically different UI variations on a single route, switchable via a URL search param and a floating bottom bar.
 
 The two branches produce very different artifacts — getting this wrong wastes the whole prototype. If the question is genuinely ambiguous and the user isn't reachable, default to whichever branch better matches the surrounding code (a backend module → logic; a page or component → UI) and state the assumption at the top of the prototype.
@@ -19,7 +19,7 @@ The two branches produce very different artifacts — getting this wrong wastes
 ## Rules that apply to both
 
 1. **Throwaway from day one, and clearly marked as such.** Locate the prototype code close to where it will actually be used (next to the module or page it's prototyping for) so context is obvious — but name it so a casual reader can see it's a prototype, not production. For throwaway UI routes, obey whatever routing convention the project already uses; don't invent a new top-level structure.
-2. **Trivial to run.** A UI prototype starts from one command in the project's task runner — `pnpm <name>`, `python <path>`, `bun <path>`, etc. A logic demo is a single HTML file the user double-clicks. Either way, no thinking required to start it.
+2. **One command to run.** Whatever the project's existing task runner supports — `pnpm <name>`, `python <path>`, `bun <path>`, etc. The user must be able to start it without thinking.
 3. **No persistence by default.** State lives in memory. Persistence is the thing the prototype is _checking_, not something it should depend on. If the question explicitly involves a database, hit a scratch DB or a local file with a clear "PROTOTYPE — wipe me" name.
 4. **Skip the polish.** No tests, no error handling beyond what makes the prototype _runnable_, no abstractions. The point is to learn something fast.
 5. **Surface the state.** After every action (logic) or on every variant switch (UI), print or render the full relevant state so the user can see what changed.

skills/engineering/to-tickets/SKILL.md

@@ -103,5 +103,3 @@ The end-to-end behaviour this ticket makes work, from the user's perspective —
 </issue-template>
 
 In either form, avoid specific file paths or code snippets — they go stale fast. Exception: if a prototype produced a snippet that encodes a decision more precisely than prose can (state machine, reducer, schema, type shape), inline it and note briefly that it came from a prototype. Trim to the decision-rich parts — not a working demo, just the important bits.
-
-Work the frontier one ticket at a time with `/implement`, clearing context between tickets.

skills/in-progress/README.md

@@ -3,10 +3,10 @@
 Skills that are still being developed. They're not ready to ship — expect rough edges, breaking changes, and abandoned experiments. They're excluded from the plugin and the top-level README until they graduate to a stable bucket.
 
 - **[loop-me](./loop-me/SKILL.md)** — Grill yourself into implementable workflow specs over multiple sessions, using the current directory as a stateful workspace. User-invoked.
-- **[wizard](./wizard/SKILL.md)** — Generate an interactive bash wizard that walks a human through a manual procedure (setup, a one-off migration, a state transition) — opening URLs, capturing values, writing `.env` and GitHub Actions secrets. User-invoked.
 - **[writing-beats](./writing-beats/SKILL.md)** — Shape an article as a journey of beats, choose-your-own-adventure style. Pick a starting beat, write only that beat, then pivot to the next, until the article reaches a natural end.
 - **[writing-fragments](./writing-fragments/SKILL.md)** — Grilling session that mines you for fragments — heterogeneous nuggets of writing — and appends them to a single document as raw material for a future article.
 - **[writing-shape](./writing-shape/SKILL.md)** — Take a markdown file of raw material and shape it into an article paragraph by paragraph, arguing format choices at each step.
 - **[claude-handoff](./claude-handoff/SKILL.md)** — Hand the current conversation off to a fresh background agent that picks up the work immediately, seeded with a handoff summary via `claude --bg`. User-invoked.
 - **[setup-ts-deep-modules](./setup-ts-deep-modules/SKILL.md)** — Wire dependency-cruiser into a TypeScript repo so each package is a deep module — implementation hidden in subfolders, reachable only through its entry-point files, tests exercising it through those. User-invoked.
 - **[to-questionnaire](./to-questionnaire/SKILL.md)** — Turn a decision you can't fully answer into a Markdown questionnaire for someone else to fill in async, or over a meeting. It grills you about the send (who it's for, what you need back), not the subject. User-invoked.
+- **[batch-grill-me](./batch-grill-me/SKILL.md)** — Relentless interview that walks the design tree in rounds instead of one question at a time — each round asks the whole frontier of decisions whose prerequisites are already settled, then recomputes from your answers. User-invoked.

skills/in-progress/batch-grill-me/SKILL.md

@@ -0,0 +1,15 @@
+---
+name: batch-grill-me
+description: A relentless interview that asks every frontier question at once, round by round.
+disable-model-invocation: true
+---
+
+Interview the user relentlessly until you reach a shared understanding. Map this as a **design tree**: every decision branches into the decisions that hang off it.
+
+Work the tree in **rounds**. The **frontier** is every decision whose prerequisites are already settled — the questions you can ask *now* without guessing at answers you haven't heard yet. Ask the whole frontier in one round: number each question and give your recommended answer. Then wait for the user's answers before the next round.
+
+Each round the user answers reshapes the tree — settled decisions push the frontier outward and unblock questions that depended on them. Recompute the frontier and ask the next round. A question whose answer depends on another question still open in this round belongs to a *later* round, not this one.
+
+Finding *facts* is your job, never the user's. When a frontier question needs a fact from the environment (filesystem, tools, etc.), dispatch a sub-agent to find it — don't ask the user for anything you could look up yourself. Don't block on it: a running exploration is an unsettled prerequisite, so only the questions downstream of it wait for the sub-agent to report — ask the rest of the frontier now. The *decisions* are the user's — put each to them and wait.
+
+The session is done when the frontier is empty: every branch of the design tree visited, nothing left silently assumed. Do not act on it until the user confirms you have reached a shared understanding.

skills/in-progress/batch-grill-me/agents/openai.yaml

@@ -0,0 +1,5 @@
+interface:
+  display_name: "Batch Grill Me"
+  short_description: "Sharpen a plan a round of questions at a time"
+policy:
+  allow_implicit_invocation: false

skills/in-progress/claude-handoff/SKILL.md

@@ -0,0 +1,18 @@
+---
+name: claude-handoff
+description: Hand the current conversation off to a fresh background agent that picks up the work immediately.
+argument-hint: "What will the next session be used for?"
+disable-model-invocation: true
+---
+
+Write a handoff summary of the current conversation so a fresh agent can continue the work. Instead of saving it, launch a background agent seeded with the summary as its prompt: `claude --bg --name "<descriptive name>" "<handoff summary>"`. It starts in the current working directory and returns immediately; the user manages it with `claude agents`.
+
+Always pass `-n`/`--name` with a descriptive name (e.g. `--name "Fix login bug"`) — it sets the display name shown in the job list, session picker, and terminal title.
+
+Include a "suggested skills" section in the summary, which suggests skills that the agent should invoke.
+
+Do not duplicate content already captured in other artifacts (PRDs, plans, ADRs, issues, commits, diffs). Reference them by path or URL instead.
+
+Redact any sensitive information, such as API keys, passwords, or personally identifiable information — the summary becomes the agent's prompt.
+
+If the user passed arguments, treat them as a description of what the next session will focus on and tailor the summary accordingly.

skills/in-progress/claude-handoff/agents/openai.yaml

@@ -0,0 +1,5 @@
+interface:
+  display_name: "Claude Handoff"
+  short_description: "Hand off to a background agent"
+policy:
+  allow_implicit_invocation: false

skills/in-progress/spawn/SKILL.md

@@ -1,23 +0,0 @@
----
-name: spawn
-description: Hand the current conversation off to a fresh background agent that picks up the work immediately.
-argument-hint: "[agent] What will the next session be used for?"
-disable-model-invocation: true
----
-
-Write a handoff summary of the current conversation so a fresh agent can continue the work, then spawn the agent with it via the bundled [spawn.sh](spawn.sh) — run it, never read it:
-
-```bash
-bash <this skill's base directory>/spawn.sh <agent> "<descriptive session name>" - <<'PROMPT'
-<handoff summary>
-PROMPT
-```
-
-`<agent>` is one of `claude | codex | pi | cursor | opencode | copilot`. Spawn the agent you are running as, unless the user named another. The agent starts in the current working directory; the script prints how the user monitors and manages the session — relay that.
-
-The handoff summary:
-
-- Include a "suggested skills" section naming skills the agent should invoke.
-- Reference artifacts (PRDs, plans, ADRs, issues, commits, diffs) by path or URL instead of duplicating them.
-- Redact sensitive information (API keys, passwords, PII) — the summary becomes the agent's prompt.
-- If the user passed arguments beyond the agent choice, treat them as what the next session will focus on and tailor the summary accordingly.

skills/in-progress/spawn/agents/openai.yaml

@@ -1,5 +0,0 @@
-interface:
-  display_name: "Spawn"
-  short_description: "Hand off to a background agent (claude or codex)"
-policy:
-  allow_implicit_invocation: false

skills/in-progress/spawn/spawn.sh

@@ -1,91 +0,0 @@
-#!/usr/bin/env bash
-# spawn.sh <agent> <name> [prompt|-]
-# Launches a background agent session seeded with the prompt.
-# Prompt is read from stdin when the third argument is omitted or '-'.
-#
-# claude has native managed background jobs (claude --bg / claude agents).
-# Every other agent is spawned interactively inside herdr when its server is
-# running (list/read/send/attach management); otherwise as a supervised
-# one-shot under the user's systemd session (status/logs/stop management).
-set -euo pipefail
-
-usage() {
-  echo "usage: spawn.sh <claude|codex|pi|cursor|opencode|copilot> <name> [prompt|-]" >&2
-  echo "       prompt is read from stdin when omitted or '-'" >&2
-  exit 2
-}
-
-agent="${1:-}"
-name="${2:-}"
-prompt="${3:--}"
-[ -n "$agent" ] && [ -n "$name" ] || usage
-
-if [ "$prompt" = "-" ]; then
-  prompt="$(cat)"
-fi
-[ -n "$prompt" ] || { echo "spawn.sh: empty prompt" >&2; exit 2; }
-
-if [ "$agent" = "claude" ]; then
-  claude --bg --name "$name" "$prompt"
-  echo "Spawned claude session '$name'. Manage it with: claude agents"
-  exit 0
-fi
-
-# Interactive invocation, seeded with the prompt — used inside herdr panes.
-case "$agent" in
-codex) interactive=(codex "$prompt") ;;
-pi) interactive=(pi "$prompt") ;;
-cursor) interactive=(cursor-agent "$prompt") ;;
-opencode) interactive=(opencode --prompt "$prompt") ;;
-copilot) interactive=(copilot -i "$prompt") ;;
-*) usage ;;
-esac
-
-if herdr agent list >/dev/null 2>&1; then
-  herdr agent start "$name" --cwd "$PWD" --no-focus -- "${interactive[@]}"
-  echo "Spawned $agent session '$name' in herdr."
-  echo "  list:   herdr agent list"
-  echo "  read:   herdr agent read '$name'"
-  echo "  steer:  herdr agent send '$name' '<text>'"
-  echo "  attach: herdr agent attach '$name'"
-  exit 0
-fi
-
-command -v systemd-run >/dev/null 2>&1 || {
-  echo "spawn.sh: no herdr server running and systemd-run unavailable — launch herdr and retry" >&2
-  exit 1
-}
-
-# Non-interactive one-shot — flags keep the run from blocking on approvals.
-case "$agent" in
-codex) oneshot=(codex exec --sandbox workspace-write --skip-git-repo-check "$prompt") ;;
-pi) oneshot=(pi -p "$prompt") ;;
-cursor) oneshot=(cursor-agent -p --force --output-format text "$prompt") ;;
-opencode) oneshot=(opencode run --title "$name" "$prompt") ;;
-copilot) oneshot=(copilot -p "$prompt" --allow-all-tools) ;;
-esac
-
-# The systemd user manager doesn't inherit this shell's PATH; resolve the
-# binary now and pass PATH through for any children it spawns.
-bin="$(command -v "${oneshot[0]}")" || {
-  echo "spawn.sh: ${oneshot[0]} is not installed" >&2
-  exit 1
-}
-oneshot[0]="$bin"
-
-slug="$(printf '%s' "$name" | tr '[:upper:] ' '[:lower:]-' | tr -cd 'a-z0-9-')"
-unit="spawn-${slug:-session}-$(date +%H%M%S)"
-systemd-run --user --unit "$unit" --working-directory="$PWD" \
-  --setenv=PATH="$PATH" --setenv=HOME="$HOME" "${oneshot[@]}" >/dev/null 2>&1
-
-echo "Spawned $agent session '$name' as user unit $unit (no herdr server running)."
-echo "  status: systemctl --user status $unit"
-echo "  logs:   journalctl --user -u $unit -f"
-echo "  stop:   systemctl --user stop $unit"
-case "$agent" in
-codex) echo "  resume: codex exec resume <session id from logs>" ;;
-pi) echo "  resume: pi -c   (from this directory)" ;;
-cursor) echo "  resume: cursor-agent resume" ;;
-opencode) echo "  resume: opencode run -c   (or: opencode session list)" ;;
-copilot) echo "  resume: copilot --resume" ;;
-esac

skills/productivity/grilling/SKILL.md

@@ -3,12 +3,10 @@ name: grilling
 description: Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.
 ---
 
-Interview the user relentlessly until you reach a shared understanding. Map this as a **design tree**: every decision branches into the decisions that hang off it.
+Interview me relentlessly about every aspect of this until we reach a shared understanding. Walk down each branch of the decision tree, resolving dependencies between decisions one-by-one. For each question, provide your recommended answer.
 
-Work the tree in **rounds**. The **frontier** is every decision whose prerequisites are already settled — the questions you can ask _now_ without guessing at answers you haven't heard yet. Ask the whole frontier in one round: number each question and give your recommended answer. Then wait for the user's answers before the next round.
+Ask the questions one at a time, waiting for feedback on each question before continuing. Asking multiple questions at once is bewildering.
 
-Each round the user answers reshapes the tree — settled decisions push the frontier outward and unblock questions that depended on them. Recompute the frontier and ask the next round. A question whose answer depends on another question still open in this round belongs to a _later_ round, not this one.
+If a *fact* can be found by exploring the environment (filesystem, tools, etc.), look it up rather than asking me. The *decisions*, though, are mine — put each one to me and wait for my answer.
 
-Finding _facts_ is your job, never the user's. When a frontier question needs a fact from the environment (filesystem, tools, etc.), dispatch a sub-agent to find it — don't ask the user for anything you could look up yourself. Don't block on it: a running exploration is an unsettled prerequisite, so only the questions downstream of it wait for the sub-agent to report — ask the rest of the frontier now. The _decisions_ are the user's — put each to them and wait.
-
-The session is done when the frontier is empty: every branch of the design tree visited, nothing left silently assumed. Do not act on it until the user confirms you have reached a shared understanding.
+Do not act on it until I confirm we have reached a shared understanding.