AI EngineeringGo

Interview Me

by kdlbs

Interview Me is an AI Engineering skill for Claude Code, published by kdlbs in kandev.

679 stars95 forkson kdlbs/kandevAdded 2026/08/23+3% in starsRepository updated 2026/08/23
acpagent-orchestrationagentic-aiagentic-development-environmentai-agentsclaude-codecode-reviewcoding-agentsdeveloper-toolsgithub-copilotgolangkanbannextjsopen-sourceself-hostedtask-managertuivibe-codingworkflow-automationworktrees
Install in seconds
Install Interview Me
Copy Interview Me into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/kdlbs/kandev/tree/main/.agents/skills/interview-me ~/.claude/skills/interview-me

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/kdlbs/kandev.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
.agents/skills/interview-me/SKILL.md in kdlbs/kandev
Installs to
~/.claude/skills/interview-me
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering2451 skills

What Interview Me does

Interview Me clarifies the user’s intent before specs, plans, or code when an ask is underspecified. Use it to ask focused questions and surface assumptions before proceeding.

Interview Me is cataloged under AI Engineering on DirSkills. Interview Me comes from a repository tagged acp, agent-orchestration, agentic-ai, agentic-development-environment and ai-agents.

Documentation

README

Interview Me

Use this before /spec-driven-development, /spec, or /plan when the requested outcome is not clear enough to implement without guessing.

When To Use

Use when the ask is missing one or more of:

  • Who the user/operator is
  • Why this matters now
  • What success looks like
  • The binding constraint or tradeoff
  • Explicit out-of-scope boundaries

Skip for mechanical edits, obvious bug fixes, pure information requests, or when the user explicitly asks for speed over clarification.

Process

1. State A Hypothesis

Write one sentence plus a confidence number.

This is the opening of the README. Read the full README on GitHub.

Commands Interview Me provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

  • /spec-driven-development
  • /spec
  • /plan

Frequently asked about Interview Me

  • What else does kdlbs publish alongside Interview Me?

    Interview Me is one of 25 skills that DirSkills catalogs from kdlbs/kandev, the repository it ships in. Its siblings there include ACP Debug, Add Integration and Clean Branches. Each one is a separate skill with its own page in this directory, installs the same way Interview Me does, and is maintained by kdlbs in that same repository. The rest of the collection is listed on the kdlbs/kandev page.

  • How does Interview Me compare to other AI Engineering skills?

    Interview Me ranks #1803 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Interview Me against them. Open each page to compare what they document and how they install.

More from kdlbs/kandev

Interview Me is one of 25 skills cataloged on DirSkills from kdlbs/kandev.

See all 25 skills