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---
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"mattpocock-skills": minor
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---
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Graduate **`to-questionnaire`** out of `in-progress/` into the **Productivity** bucket, so it ships in the plugin. It turns a decision you can't answer alone into a Markdown questionnaire for the one person who can — filled in async, or worked through together in a meeting.
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Its defining move is that it grills you about the **send**, not the subject: a normal grilling session interrogates the topic, which is exactly what you can't answer here, so the interview asks only who the questionnaire is going to and what you need back, then aims every question at the gap between the two.
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Now wired as a promoted skill — plugin entry, top-level + Productivity READMEs under **User-invoked**, a docs page at `docs/productivity/to-questionnaire.md`, and a Standalone route in `ask-matt` framing it as the inverse of `/grill-me` (mine someone else, not yourself).
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---
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"mattpocock-skills": minor
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---
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Extend **`writing-for-agents`**' pruning section with a new leading word: **cache**. Single source of truth now reaches past the document into the environment — `package.json` scripts, config files, directory layout, `--help` output are themselves authoritative, so a doc that restates them is a cache of a lookup, earning its load only when the lookup is expensive. The positive target: cache what the agent cannot find by looking (unwritten conventions, the reason behind a choice, gotchas no config confesses), and leave one-file, one-command lookups to the environment, where they cannot go stale.
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"./skills/productivity/grilling",
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"./skills/productivity/handoff",
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"./skills/productivity/teach",
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"./skills/productivity/to-questionnaire",
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"./skills/productivity/writing-for-agents"
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]
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}
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@@ -206,6 +206,7 @@ General workflow tools, not code-specific.
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- **[grill-me](./skills/productivity/grill-me/SKILL.md)** — Get relentlessly interviewed about a plan or design until every branch of the decision tree is resolved.
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- **[handoff](./skills/productivity/handoff/SKILL.md)** — Compact the current conversation into a handoff document so another agent can continue the work.
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- **[teach](./skills/productivity/teach/SKILL.md)** — Teach the user a new skill or concept over multiple sessions, using the current directory as a stateful teaching workspace.
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- **[to-questionnaire](./skills/productivity/to-questionnaire/SKILL.md)** — Turn a decision you can't answer alone into a Markdown questionnaire for the one person who can — filled in async, or together over a meeting. It grills you about the send (who it's for, what you need back), not the subject.
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- **[writing-for-agents](./skills/productivity/writing-for-agents/SKILL.md)** — Writing documents for agents: skills, AGENTS.md/CLAUDE.md, and any doc an agent reaches by a pointer.
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**Model-invoked**
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Quickstart:
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```bash
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npx skills add mattpocock/skills --skill=to-questionnaire
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```
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```bash
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npx skills update to-questionnaire
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```
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[Source](https://github.com/mattpocock/skills/tree/main/skills/productivity/to-questionnaire)
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## What it does
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`to-questionnaire` turns a decision you can't settle on your own into a **questionnaire** — a Markdown document you hand to the one person who holds what you're missing, to fill in async or work through together in a meeting.
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It grills you about the **send**, never the subject. A normal grilling session interrogates the topic, which is exactly what you can't answer here — that's why you're writing to someone else. So the interview asks only the two things you can always answer: who this is going to, and what you need back from them. The questions in the document are then aimed at the **gap** between the two.
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## When to reach for it
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You invoke this by typing `/to-questionnaire` — the agent won't reach for it on its own.
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Reach for this when a decision is blocked on knowledge that lives in someone else's head — a client, a domain expert, a colleague on another team — and you want a document that pulls it out of them in one pass. When the knowledge is in *your* head and just needs sharpening, use [grill-me](https://aihero.dev/skills-grill-me) instead; when it's in the codebase, use [grill-with-docs](https://aihero.dev/skills-grill-with-docs).
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## The send, not the subject
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The interview is two exchanges, and it stops there:
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- **Who is it going to?** Their role, expertise, and relationship to you. This fixes the tone and how much context the document has to carry — an outside client needs orienting; a teammate does not.
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- **What do you need back?** The concrete decisions or facts you can't resolve alone. This becomes the checklist the finished questionnaire is measured against: every item you named has a question aimed at it.
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Everything after that is drafting. The output is written to `to-questionnaire-<slug>.md` in the current directory.
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## The document
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It's a **discovery questionnaire**: you lack the context, the recipient holds it. That framing drives its shape — a purpose line and the decision riding on it, a short context section for a recipient who wasn't in your head, and questions ordered **most-important-first**, because async means you may only get one pass. Each question is one idea, never compound, with an answer stub beneath it and a *why this matters* line only where the question could be misread. It closes with a catch-all: anything we didn't ask that we should know?
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## It's working if
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- It asks you about the recipient and the deliverable, then stops asking — no interrogation of the topic itself.
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- Every item you named as "what I need back" is traceable to a question in the file.
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- The questions read as aimed at what the *recipient* knows, not as your own open questions copied down.
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## Where it fits
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`to-questionnaire` is a reach-for-it-anytime standalone — it sits at the boundary of your own knowledge, where the next step is another person rather than another skill. Its neighbour is [grill-me](https://aihero.dev/skills-grill-me), because the two split on where the answers live: grilling mines you, a questionnaire mines someone else. What comes back typically feeds the main flow at [grill-with-docs](https://aihero.dev/skills-grill-with-docs) or [to-spec](https://aihero.dev/skills-to-spec). When you're unsure which skill fits the moment, [ask-matt](https://aihero.dev/skills-ask-matt) routes you.
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- **Information hierarchy** — the ladder from in-file step, to in-file reference, to disclosed reference behind a pointer. **Progressive disclosure** is the move down that ladder so the top stays legible; **co-location** decides what sits beside each piece once placed.
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- **Completion criteria** — the clarity and demand of each step's done-condition, and the **legwork** it drives; the defence against **premature completion**.
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- **Leading words** — a compact concept already in the model's pretraining (*tight*, *red*, *tracer bullet*) that the agent thinks with while running the document; hunt restatements a single word can retire.
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- **Pruning** — single source of truth, relevance, and the no-op test applied sentence by sentence, against **sediment** and **sprawl**.
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- **Pruning** — single source of truth, relevance, and the no-op test applied sentence by sentence, against **sediment** and **sprawl**. Single source of truth reaches past the document into the environment: a doc restating what's already in `package.json`, a config file, or `--help` output is a **cache** of a lookup that was never expensive, and it's the copy that goes stale. Cache what the agent can't find by looking — the unwritten convention, the reason behind a choice.
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## Where it fits
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- **`/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.
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- **`/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.
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- **`/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.
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- **`/to-questionnaire`** — when the thing blocking you isn't in your head or the codebase but in **someone else's**, this writes them a questionnaire to fill in. It's the inverse of `/grill-me`: instead of interviewing you about the subject, it interviews you about the **send** — who it's going to, what you need back — and aims the questions at the gap. What comes back is material for `/grill-with-docs` or `/to-spec`.
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- **`/teach`** — learn a concept over multiple sessions, using the current directory as a stateful workspace.
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- **`/writing-for-agents`** — reference for writing documents agents consume: skills, AGENTS.md, pointed-at docs.
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- **[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.
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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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@@ -9,6 +9,7 @@ Reachable only when you type them (Claude Code: `disable-model-invocation: true`
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- **[grill-me](./grill-me/SKILL.md)** — Get relentlessly interviewed about a plan or design until every branch of the decision tree is resolved.
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- **[handoff](./handoff/SKILL.md)** — Compact the current conversation into a handoff document so another agent can continue the work.
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- **[teach](./teach/SKILL.md)** — Teach the user a new skill or concept over multiple sessions, using the current directory as a stateful teaching workspace.
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- **[to-questionnaire](./to-questionnaire/SKILL.md)** — Turn a decision you can't answer alone into a Markdown questionnaire for the one person who can — filled in async, or together over a meeting.
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- **[writing-for-agents](./writing-for-agents/SKILL.md)** — Writing documents for agents: skills, AGENTS.md/CLAUDE.md, and any doc an agent reaches by a pointer.
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## Model-invoked
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## Pruning
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- Keep each meaning in a **single source of truth**: one authoritative place, so changing the behaviour is a one-place edit. **Duplication** — the same meaning in more than one place — costs maintenance and tokens, and inflates a meaning's prominence on the ladder past its real rank. (The accidental inverse of a leading word, which repeats a token on purpose, never the meaning.)
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- The **environment** is a source of truth too — `package.json` scripts, config files, the directory layout, `--help` output — and a document that restates it is a **cache**: a copy of a lookup, earning its load only when the lookup is expensive. Cache what the agent cannot find by looking: the unwritten convention, the reason behind a choice, the gotcha no config confesses. Leave the one-file, one-command lookups to the environment, where they cannot go stale.
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- Check every line for **relevance**: does it still bear on what the document does? A line loses relevance by never bearing on the task (mere exposition, or a branch that should be disclosed) or by going stale as the behaviour or world it describes changes. Shorter documents are easier to keep relevant. Without a pruning discipline the default fate is **sediment**: stale layers that settle because adding feels safe and removing feels risky, until you must core down through them to find what is still live.
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- Hunt **no-ops** sentence by sentence: an instruction the model already obeys by default pays load to say nothing. The test — does it change behaviour versus the default? — is model-relative, not reader-relative: two people disagreeing about a no-op disagree about the default, and settle it by running the document, not by debate. When a sentence fails, delete the whole sentence rather than trim words from it. The test also grades leading words: a word too weak to beat the default (_be thorough_ when the agent is already thorough-ish) is a no-op, and the fix is a stronger word (_relentless_), not a different technique.
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