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Interview style doc building

Skill adriannoes/awesome-agentic-ai/cursor-claude-codex/skills/david-ondrej/thinking-and-docs/interview-style-doc-building

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Install
npx -y skills add adriannoes/awesome-agentic-ai --skill interview-style-doc-building

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What its author says it does

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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).

SKILL.md

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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.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.