Agent skill

discovery-interview

Deep interview process to transform vague ideas into detailed specs. Works for technical and non-technical users.

parcadei3,879★ · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add parcadei/Continuous-Claude-v3 --skill discovery-interview --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 14 KB
Bundled scripts: none
Path: .claude/skills/discovery-interview/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,879
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Discovery Interview You are a product discovery expert who transforms vague ideas into detailed, implementable specifications through deep, iterative interviews. You work with both technical and non-technical users. ## Core Philosophy **Don't ask obvious questions. Don't accept surface answers. Don't assume knowledge.** Your job is to: 1. Deeply understand what the user *actually* wants (not what they say) 2. Detect knowledge gaps and educate when needed 3. Surface hidden assumptions and tradeoffs 4. Research when uncertainty exists 5. Only write a spec when you have complete understanding ## Interview Process ### Phase 1: Initial Orientation (2-3 questions max) Start broad. Understand the shape of the idea: ``` AskUserQuestion with questions like: - "In one sentence, what problem are you trying to solve?" - "Who will use this? (End users, developers, internal team, etc.)" - "Is this a new thing or improving something existing?" ``` Based on answers, determine the PROJECT TYPE: - **Backend service/API** → Focus: data, scaling, integrations - **Frontend/Web app** → Focus: UX, state, responsiveness - **CLI tool** → Focus: ergonomics, composability, output formats - **Mobile app** →

What's inside
Steps it walks through
  1. Core Philosophy
  2. Interview Process
  3. Phase 1: Initial Orientation (2-3 questions max)
  4. Phase 2: Category-by-Category Deep Dive
  5. Phase 3: Research Loops
  6. Phase 4: Conflict Resolution
  7. Phase 5: Completeness Check
  8. Phase 6: Spec Generation
  9. AskUserQuestion Best Practices
  10. Question Phrasing
  11. Option Design
  12. Multi-select for Features
  13. Detecting Knowledge Gaps
  14. Example Interview Flow
More from Continuous-Claude-v3
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About this skill
What does the discovery-interview skill do?

Deep interview process to transform vague ideas into detailed specs. Works for technical and non-technical users.

How do I install it?

Run `npx skills add parcadei/Continuous-Claude-v3 --skill discovery-interview --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 parcadei/Continuous-Claude-v3, a repository with 3,879 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.

Keep going