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Deep Interview

  • 69 installs
  • 44 repo stars
  • Updated July 8, 2026
  • aviz85/claude-skills-library

Deep Interview is a Claude skill that runs adaptive interviews to extract and organize a person's knowledge into structured markdown files and folders.

About

Deep Interview conducts adaptive interviews that extract a person's knowledge and organize it into structured markdown files and folders in real time. A developer uses it to capture expertise on a topic through guided questioning, writing each answer into theme files as the interview progresses. It builds a knowledge base incrementally rather than waiting until the end.

  • Runs an adaptive ASK to LISTEN to WRITE to DEEPEN loop that captures expertise
  • Writes answers into an organized folder of theme files plus an interview index
  • Depth presets (shallow/medium/deep) scale from 5-10 up to 20-40 output files

Deep Interview by the numbers

  • 69 all-time installs (skills.sh)
  • Ranked #1,500 of 3,280 Productivity & Planning skills by installs in the Skillselion catalog
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
At a glance

deep-interview capabilities & compatibility

Capabilities
knowledge capture · note taking · documentation
Use cases
documentation · research
From the docs

What deep-interview says it does

Conduct adaptive interviews that progressively extract knowledge and build organized knowledge bases in real-time.
SKILL.md
ASK -> LISTEN -> WRITE -> DEEPEN -> REPEAT
SKILL.md
Never accumulate more than one round of answers without writing.
SKILL.md
npx skills add https://github.com/aviz85/claude-skills-library --skill deep-interview

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Listed on Skillselion
Installs69
repo stars44
Last updatedJuly 8, 2026
Repositoryaviz85/claude-skills-library

What it does

Capturing a domain expert's knowledge into an organized markdown knowledge base through guided questioning.

Who is it for?

Building a structured knowledge base by interviewing a subject-matter expert on a topic.

Skip if: Writing application code or automating tasks beyond knowledge capture.

When should I use this skill?

When the user says 'interview me about X', 'deep interview', or wants to systematically capture expertise on a topic.

What you get

An organized folder of theme files, an interview index, and a synthesis summary of the captured knowledge.

  • theme markdown files
  • _interview-index.md
  • _summary.md

By the numbers

  • depth presets output 5-10, 10-20, or 20-40 files
  • uses 8 question techniques (what/how/why/when/who/what-if/rank/contrast)

Files

SKILL.mdMarkdownGitHub ↗

Deep Interview

Conduct adaptive interviews that progressively extract knowledge and build organized knowledge bases in real-time.

Core Loop

ASK -> LISTEN -> WRITE -> DEEPEN -> REPEAT

Each cycle: ask targeted questions, capture answers into files, identify gaps, go deeper. The knowledge base grows with every answer.

Process

1. Initialize

Parse the topic from user input. Determine output path:

  • If --output <path> provided: use that path
  • If inside a project with CLAUDE.md: use project root or relevant subfolder
  • Default: create ~/Documents/interviews/<topic>-<date>/

Create the output directory and an _interview-index.md file:

# Interview: <Topic>
**Date:** <today>
**Status:** In Progress
**Depth:** <shallow|medium|deep>

## Themes Discovered
(updated as interview progresses)

## Files Created
(updated as files are written)

2. Opening Round - Broad Context

Use AskUserQuestion to understand the landscape. Ask 2-3 broad questions max per call.

First call - establish scope and the interviewee's relationship to the topic:

  • What is this topic about? (if unclear)
  • What is the user's role/expertise level?
  • What's the goal of capturing this knowledge?

IMPORTANT: After EACH AskUserQuestion response, immediately write what was learned to a file before asking more questions. Never accumulate more than one round of answers without writing.

3. Adaptive Deepening

Based on answers, identify themes (3-7 major areas). For each theme:

1. Create a file: <theme-slug>.md 2. Ask 2-4 targeted questions about that theme using AskUserQuestion 3. Write answers into the theme file 4. If a theme is complex enough, create a subfolder: <theme-slug>/ and split into sub-files

Question strategy per depth:

DepthQuestions per themeTotal roundsOutput size
shallow2-33-55-10 files
medium4-66-1010-20 files
deep8-1212-2020-40 files

Default depth: medium.

4. Question Techniques

Vary question types to extract different knowledge layers:

  • What questions: facts, definitions, components
  • How questions: processes, workflows, methods
  • Why questions: reasoning, philosophy, decisions
  • When/Where questions: context, triggers, conditions
  • Who questions: stakeholders, audiences, roles
  • What if questions: edge cases, exceptions, failures
  • Rank/Priority questions: force prioritization ("pick top 3")
  • Contrast questions: "how is X different from Y?"

Tip: Use the options field in AskUserQuestion to suggest concrete answers when possible - this makes it easier for the user and surfaces assumptions to validate.

5. Writing Rules

File naming: kebab-case, descriptive. e.g., target-audience.md, pricing-strategy.md, session-1-agenda.md

File format:

# <Theme Title>

> Source: Deep Interview, <date>

## Key Points
- Point extracted from answer
- Another point

## Details
<Expanded content from follow-up questions>

## Open Questions
- Things that still need clarification

Folder creation trigger: When a theme has 3+ sub-themes, create a folder:

output/
├── _interview-index.md
├── overview.md
├── simple-theme.md
└── complex-theme/
    ├── _index.md
    ├── sub-topic-1.md
    └── sub-topic-2.md

6. Progress Tracking

After every 3 rounds of questions, show the user a brief status:

**Interview Progress:**
- Themes covered: X/Y
- Files created: N
- Current focus: <theme>
- Estimated remaining: ~Z more rounds

7. Synthesis & Closing

When all themes are covered (or user signals done):

1. Update _interview-index.md with final table of contents 2. Create _summary.md - a concise synthesis of everything learned 3. Identify and list gaps in _open-questions.md 4. Tell user: total files created, folder structure, and suggested next steps

AskUserQuestion Best Practices

  • Max 2-3 questions per call (don't overwhelm)
  • Always provide concrete options when possible (user can still type "Other")
  • Use multiSelect: true for "which of these apply?" questions
  • Keep headers short (max 12 chars) - they show as chips/tags
  • Phrase options as clear, distinct choices - not vague
  • After receiving answers, acknowledge briefly before writing + asking more
  • If user gives short answers, ask follow-ups. If detailed, move on.

Anti-Patterns

  • Don't ask 10 questions at once - max 3-4 per AskUserQuestion call
  • Don't wait until the end to write files - write incrementally
  • Don't ask yes/no questions when open-ended would yield more
  • Don't repeat questions the user already answered
  • Don't assume knowledge - always verify with the user
  • Don't create empty placeholder files - only write when there's real content

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