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Interview Style Doc Building

Community
matyasstoch
interview-style-doc-building

Use when David wants to build a structured strategic document by answering questions (life priorities, goals docs, framework files, ranked lists, principles, reviews). Interview one question at a time, patch the file after each answer, then re-ask. Not for day planning (use day-plan).

Overview

Publishermatyasstoch
Repositorydavid-skills
Skill nameinterview-style-doc-building
Stars
61
Forks
11
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by matyasstoch on GitHub. Read the source before you install it.

Installation

Install the Interview Style Doc Building AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/matyasstoch/david-skills/tree/main/skills/productivity/interview-style-doc-building
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/matyasstoch/david-skills.git /tmp/david-skills
mkdir -p .claude/skills
cp -r /tmp/david-skills/skills/productivity/interview-style-doc-building .claude/skills/interview-style-doc-building
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Interview Style Doc Building in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Interview Style Doc Building on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Interview Style Doc Building is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Interview-Style Doc Building

David's preferred mode for creating durable strategic docs. AI does NOT propose content — AI asks one question, David answers, AI patches the file, AI asks the next question. The file IS the conversation's output, updated incrementally.

When to use

  • Building a new SSOT file (life priorities, life vision, principles, frameworks, ranked lists).
  • Filling out a structured doc David explicitly wants to author himself.
  • Quarterly/annual reviews where David's words go into the file.

NOT for: day planning (use day-plan), task triage (organize-tasks), or anything where AI proposes content first.

The Loop

  1. Create the file with a skeleton (header, sections, "to be filled in" placeholders). Single write_file for the new file. After this, NEVER overwrite — only patch.
  2. Ask ONE question. Concise. Specific. Single-faceted. Open-ended where possible.
  3. Wait for the answer. Don't ask the next question yet.
  4. Patch the file with David's answer in the correct section.
  5. Re-ask — next question, or follow-up if the answer was incomplete.
  6. Repeat until the file is complete.

Hard Rules

  • One question at a time. Never dump multiple questions in a single message. David has flagged this.
  • Patch, don't overwrite. After the initial skeleton, use patch for every update. Never write_file to an existing doc.
  • Update the file BEFORE asking the next question. Order: receive answer → patch file → ask next question. Not the reverse.
  • Lists from David are UNORDERED SETS. When David lists items in response to "which X should we cover?" or "what are the Ys?", that is a SET, not a ranking. Never infer rank, priority, or sequence from the order he typed them. If you need ordering, ask explicitly: "Which of these is #1?"
  • Ask dynamics, not names. When David references a person, don't ask "who is X?" — ask about the role/dynamic.
  • No snark, no attitude, no filler. Concise questions, concise acknowledgments.
  • No speculative additions. Don't invent sections, edge cases, or "anything else?" prompts unless David asks.

Question Design

  • Domain-discovery, not confirmation. "What wins against everything else?" — not "Is Business #1?"
  • Surface new reality. Each question should pull out info AI doesn't already have.
  • Engine-move framing where applicable. "What's the thing that, if true, makes the rest obvious?"
  • Concrete over abstract. "What's #2 — the domain that wins against everything except #1?" beats "Tell me about your second priority."

File Patching Pattern

After each answer:

  1. Read the relevant section (if not already in context).
  2. patch with old_string = placeholder or previous entry, new_string = updated content with David's words preserved.
  3. Confirm the diff. Move on.

For ranked lists, append one rank at a time:

1. **Business** — Q2 #1 goal: ...
2. **Health** — get below 81.0 kg, sleep 9h/day, ...

Each rank gets patched in as David confirms it.

Common Pitfalls

  • Assuming order from a set. David lists "A, B, C, D" → AI writes "1. A, 2. B, 3. C, 4. D" → David flags it. ALWAYS confirm rank explicitly.
  • Asking too many questions at once. Even bundling 2 violates the rule.
  • Overwriting the file instead of patching specific sections — destroys prior content.
  • Adding AI-generated content to fill out sections. Sections stay empty until David provides the content.
  • Skipping the file update between Q&A pairs — the doc falls out of sync.

Pairing with Other Skills

  • day-plan — different pattern (task triage), not interview-style.
  • organize-tasks — Todoist-specific.
  • memory-management — separate from this; persona/preferences go to memory.

Frequently asked questions

What does the Interview Style Doc Building AI skill do?

Use when David wants to build a structured strategic document by answering questions (life priorities, goals docs, framework files, ranked lists, principles, reviews). Interview one question at a time, patch the file after each answer, then re-ask. Not for day planning (use day-plan).

Why use Interview Style Doc Building on TypingMind?

Because you install it once and use it with any model. Interview Style Doc Building is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Interview Style Doc Building in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/matyasstoch/david-skills/tree/main/skills/productivity/interview-style-doc-building. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Interview Style Doc Building?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Interview Style Doc Building?

As many as you like. As long as a model supports skills, you can use Interview Style Doc Building with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Interview Style Doc Building AI skill free?

It is published on GitHub by matyasstoch. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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