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Agent Skill

Discovery Interview Prep skill

discovery-interview-prepdeanpeters/Product-Manager-Skillsskills/discovery-interview-prep/SKILL.md

Plan customer discovery interviews with the right goal, segment, constraints, and method. Use when preparing interviews for problem validation, churn research, or new product ideas.

7.6k

always on

39 tokname + description

once used

3,980 tokSKILL.md body

bundled files

0

repo stars

7.6kGitHub

Install the Discovery Interview Prep skill

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

npx skills add https://github.com/deanpeters/Product-Manager-Skills --skill discovery-interview-prep

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/deanpeters/Product-Manager-Skills.git /tmp/Product-Manager-Skills
mkdir -p ~/.claude/skills
cp -R /tmp/Product-Manager-Skills/skills/discovery-interview-prep ~/.claude/skills/discovery-interview-prep

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 description39 tok
When the agent uses itThe SKILL.md instructions3,980 tok
Only if openedNo bundled files—

Until it is used, discovery-interview-prep costs about 35× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 77 skills from deanpeters/Product-Manager-Skills would load 2,883 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.

  • Purpose
  • Input
  • Key Concepts
  • The Discovery Interview Prep Flow
  • Why This Works
  • Anti-Patterns (What This Is NOT)
  • When to Use This
  • When NOT to Use This
  • Facilitation Source of Truth
  • Application
  • Step 0: Gather Context (Before Questions)
  • Question 1: Research Goal
  • Question 2: Target Customer Segment
  • Question 3: Constraints
  • Question 4: Interview Methodology
  • Output: Generate Interview Plan
  • Examples
  • Example 1: Good Discovery Interview Prep (Problem Validation)
  • Common Pitfalls
  • Pitfall 1: Asking What Customers Want
  • Pitfall 2: Pitching Instead of Listening
  • Pitfall 3: Interviewing the Wrong People
  • Pitfall 4: Stopping at 1-2 Interviews
  • Pitfall 5: Not Recording Insights

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