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"mattpocock-skills": patch
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---
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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.
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"mattpocock-skills": minor
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---
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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.
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@@ -26,10 +26,10 @@ Reach for it when you have a design question that's hard to settle on paper —
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The question decides the shape, and there are two shapes:
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- **"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.
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- **"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.
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- **"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.
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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.
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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.
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## Keep the prototype as a primary source
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@@ -12,9 +12,17 @@ npx skills update grilling
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## What it does
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`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.
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`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.
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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.
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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.
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### Prefer one question at a time?
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If the old one-at-a-time rhythm suited you better, keep it. Add a line to your global `CLAUDE.md`:
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```
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When grilling, ask one question at a time.
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```
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## When to reach for it
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@@ -24,7 +32,7 @@ Reach for it when a plan or design still has soft spots and you want them surfac
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## The decision tree
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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.
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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.
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## Pulled out on purpose
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# Logic Prototype
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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.
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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.
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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.
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## When this is the right shape
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- "I'm not sure if this state machine handles the edge case where X then Y."
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- "Does this data model actually let me represent the case where..."
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- "I want to feel out what the API should look like before writing it."
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- Anything where the user wants to **press buttons and watch state change**.
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- Anything where someone wants to **press buttons and watch state change**.
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If the question is "what should this look like" — wrong branch. Use [UI.md](UI.md).
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@@ -15,17 +17,11 @@ If the question is "what should this look like" — wrong branch. Use [UI.md](UI
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### 1. State the question
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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.
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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.
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### 2. Pick the language
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### 2. Isolate the logic in a portable module
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Use whatever the host project uses. If the project has no obvious runtime (e.g. a docs repo), ask.
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Match the project's existing conventions for tooling — don't add a new package manager or runtime just for the prototype.
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### 3. Isolate the logic in a portable module
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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.
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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.
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The right shape depends on the question:
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@@ -34,46 +30,38 @@ The right shape depends on the question:
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- **A small set of pure functions** over a plain data type. Good when there's no implicit current state — just transformations.
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- **A class or module with a clear method surface** when the logic genuinely owns ongoing internal state.
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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.
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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.
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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.
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### 3. Build the shareable HTML file
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### 4. Build the smallest TUI that exposes the state
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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.
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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.
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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.
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Each frame has two parts, in this order:
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Lay it out with a clean hierarchy, top to bottom:
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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.
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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.
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1. **Title and one-line explanation** of what this demo lets you explore (the question from step 1).
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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.
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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.
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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.
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Behaviour:
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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.
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1. **Initialise state** — a single in-memory object/struct. Render the first frame on start.
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2. **Read one keystroke (or one line)** at a time, dispatch to a handler that mutates state.
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3. **Re-render** the full frame after every action — don't append, replace.
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4. **Loop until quit.**
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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.
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The whole frame should fit on one screen.
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### 4. Hand it over
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### 5. Make it runnable in one command
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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.
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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.
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### 5. Capture the answer and the prototype
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If the host project has no task runner, just put the command at the top of the prototype's README.
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### 6. Hand it over
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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.
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### 7. Capture the answer and the prototype
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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.
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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.
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## Anti-patterns
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- **Don't add tests.** A prototype that needs tests is no longer a prototype.
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- **Don't wire it to the real database.** Use an in-memory store unless the question is specifically about persistence.
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- **Don't wire it to the real database.** Use in-memory state unless the question is specifically about persistence.
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- **Don't generalise.** No "what if we wanted to support X later." The prototype answers one question.
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- **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.
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- **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.
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- **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.
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- **Don't reach for a framework, bundler, or server.** One file the recipient double-clicks; a React app or a dev server defeats "shareable".
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- **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.
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@@ -11,7 +11,7 @@ A prototype is **throwaway code that answers a question**. The question decides
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Identify which question is being answered — from the user's prompt, the surrounding code, or by asking if the user is around:
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- **"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.
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- **"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.
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- **"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.
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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.
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## Rules that apply to both
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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.
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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.
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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.
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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.
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4. **Skip the polish.** No tests, no error handling beyond what makes the prototype _runnable_, no abstractions. The point is to learn something fast.
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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.
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@@ -10,4 +10,3 @@ Skills that are still being developed. They're not ready to ship — expect roug
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- **[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.
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- **[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.
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- **[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.
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- **[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.
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@@ -1,15 +0,0 @@
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---
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name: batch-grill-me
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description: A relentless interview that asks every frontier question at once, round by round.
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disable-model-invocation: true
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---
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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.
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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.
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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.
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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.
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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.
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interface:
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display_name: "Batch Grill Me"
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short_description: "Sharpen a plan a round of questions at a time"
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policy:
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allow_implicit_invocation: false
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@@ -3,10 +3,12 @@ name: grilling
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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.
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---
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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.
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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.
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Ask the questions one at a time, waiting for feedback on each question before continuing. Asking multiple questions at once is bewildering.
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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.
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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.
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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.
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Do not act on it until I confirm we have reached a shared understanding.
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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.
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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.
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Reference in New Issue
Block a user