Agent skill

interview-me

Use when the user says Interview me before you start as a standalone command, explicitly asks to be questioned before work begins, or needs an adaptive, consent-based interview because goals, constraints, preferences, tradeoffs, or success criteria are genuinely unclear.

Tony Simons99★ · 1 repos on radarProfile →
claude-codeships scriptsApache-2.0
Install
npx skills add asimons81/hermes-field-kit --skill interview-me --agent claude-code

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

Facts
Files in the skill folder: 10
SKILL.md size: 6 KB
Bundled scripts: yes
Version: 0.2.0
Declared author: Tony Simons
Path: skills/interview-me/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 120
Language: Python

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

From the SKILL.md

# interview-me ## Overview An adaptive interview protocol that asks one high-value question at a time, inspects available sources before questioning the user, and stops when more questions would not change the next action. The skill is evidence-first. It identifies unavailable evidence, separates facts from interpretations, and does not claim a repair or successful outcome merely because a command

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About this skill
What does the interview-me skill do?

Use when the user says Interview me before you start as a standalone command, explicitly asks to be questioned before work begins, or needs an adaptive, consent-based interview because goals, constraints, preferences, tradeoffs, or success criteria are genuinely unclear.

How do I install it?

Run `npx skills add asimons81/hermes-field-kit --skill interview-me --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 asimons81/hermes-field-kit, a repository with 120 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.

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