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Agent Skill

Discovery Interview skill

discovery-interviewparcadei/Continuous-Claude-v3.claude/skills/discovery-interview/SKILL.md

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

3.9kMIT

always on

25 tokname + description

once used

3,275 tokSKILL.md body

bundled files

0

repo stars

3.9kGitHub

Install the Discovery Interview skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/parcadei/Continuous-Claude-v3 --skill discovery-interview

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git /tmp/Continuous-Claude-v3
mkdir -p ~/.claude/skills
cp -R /tmp/Continuous-Claude-v3/.claude/skills/discovery-interview ~/.claude/skills/discovery-interview

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description25 tok
When the agent uses itThe SKILL.md instructions3,275 tok
Only if openedNo bundled files—

Until it is used, discovery-interview costs about 55× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 150 skills from parcadei/Continuous-Claude-v3 would load 2,175 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Discovery Interview
  • Core Philosophy
  • Interview Process
  • Phase 1: Initial Orientation (2-3 questions max)
  • Phase 2: Category-by-Category Deep Dive
  • Phase 3: Research Loops
  • Phase 4: Conflict Resolution
  • Phase 5: Completeness Check
  • Phase 6: Spec Generation
  • AskUserQuestion Best Practices
  • Question Phrasing
  • Option Design
  • Multi-select for Features
  • Detecting Knowledge Gaps
  • Example Interview Flow
  • Iteration Rules
  • Handling Different User Types
  • Technical User
  • Non-Technical User
  • User in a Hurry
  • Phase 7: Implementation Handoff

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