
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)
deep-interview capabilities & compatibility
- Capabilities
- knowledge capture · note taking · documentation
- Use cases
- documentation · research
What deep-interview says it does
Conduct adaptive interviews that progressively extract knowledge and build organized knowledge bases in real-time.
ASK -> LISTEN -> WRITE -> DEEPEN -> REPEAT
Never accumulate more than one round of answers without writing.
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| Installs | 69 |
|---|---|
| repo stars | ★ 44 |
| Last updated | July 8, 2026 |
| Repository | aviz85/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
Deep Interview
Conduct adaptive interviews that progressively extract knowledge and build organized knowledge bases in real-time.
Core Loop
ASK -> LISTEN -> WRITE -> DEEPEN -> REPEATEach 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:
| Depth | Questions per theme | Total rounds | Output size |
|---|---|---|---|
| shallow | 2-3 | 3-5 | 5-10 files |
| medium | 4-6 | 6-10 | 10-20 files |
| deep | 8-12 | 12-20 | 20-40 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 clarificationFolder 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.md6. 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 rounds7. 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: truefor "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