interview-style-doc-building
Build structured strategy documents by asking one question at a time and patching the file.
npx skills add sickn33/agentic-awesome-skills --skill interview-style-doc-building --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Interview-Style Doc Building The user's preferred mode for creating durable strategic docs. AI does NOT propose content — AI asks one question, the user 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 the user explicitly wants to author themselves. - Quarterly/annual reviews where the user'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 the user'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 a
- When to Use
- The Loop
- Hard Rules
- Question Design
- File Patching Pattern
- Common Pitfalls
- Pairing with Other Skills
- Limitations
What does the interview-style-doc-building skill do?
Build structured strategy documents by asking one question at a time and patching the file.
How do I install it?
Run `npx skills add sickn33/agentic-awesome-skills --skill interview-style-doc-building --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.