本文へ移動
cccskills
無料GitHub で公開

interview-me

Interview the user one question at a time to resolve remaining ambiguity before implementation. Use when planning or brainstorming is done but unknowns remain, or when the user asks to be interviewed about a task or spec.

インストール方法を見る

含まれるファイル(1)

  • SKILL.md1.8 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Interview me

Brainstorming is over and there are still gaps between the user's map and the territory. Close them by asking, one question at a time, starting with the questions whose answers would change the most.

Steps

  1. Read everything already established: the request, any spec, any prototypes, relevant code. Do not ask about things that are already answered.
  2. Build a private list of open ambiguities and sort by blast radius:
    • First: architecture-changers — answers that would alter the data model, the interfaces, or the overall approach.
    • Then: behavior definers — edge cases, failure modes, defaults, permissions.
    • Last: polish — naming, copy, cosmetics. Often not worth asking; propose and move on.
  3. Ask exactly one question per turn. For each: give the context that makes it matter, offer 2-3 concrete options with your recommendation, and accept "you decide" as an answer you then own.
  4. Every few questions, checkpoint: restate what has been decided so far in one tight list, so drift dies early.
  5. Stop when the remaining unknowns are cheaper to discover during implementation than to ask about now, and say that out loud. End with the final decision list, ready to paste into a plan.

Guardrails

  • One question at a time means one. No question bundles.
  • Never ask a question whose answer is discoverable from the codebase; go look instead.
  • If an answer contradicts an earlier decision, flag the conflict immediately rather than silently taking the newest answer.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Design tools, scripts, and CLIs that an agent will call, so the interface teaches its own use instead of a wall of prose and examples. Use when building an MCP server or tool definition, writing an agent-facing script, or when an agent keeps misusing a tool it already has.

日本語の概要は準備中です。原文の説明を表示しています。

Neeeophytee/finding-unknowns-skills3472026年9月28日 更新

Test a consequential technical assumption with a small, falsifiable experiment before committing to an approach. Use when a plan depends on uncertain runtime, integration, or data behavior that inspection alone cannot establish. Not for preference interviews or routine implementation.

日本語の概要は準備中です。原文の説明を表示しています。

Neeeophytee/finding-unknowns-skills3472026年9月28日 更新

Surface the user's unknown unknowns before work starts. Use when the user is entering an unfamiliar codebase area, an unfamiliar domain (design, video, infra), or explicitly asks for a "blindspot pass" or to find their "unknown unknowns."

日本語の概要は準備中です。原文の説明を表示しています。

Neeeophytee/finding-unknowns-skills3472026年9月28日 更新

Generate several genuinely different throwaway variations (designs, approaches, drafts) for the user to react to. Use when the user can only recognize what they want by seeing it — visual design, UX flows, naming, tone — or asks to brainstorm or prototype before building.

日本語の概要は準備中です。原文の説明を表示しています。

Neeeophytee/finding-unknowns-skills3472026年9月28日 更新

After a working session, produce a report on what changed plus a quiz the user must pass before merging. Use when the user asks "what did we actually do," wants to review a large change, or invokes a quiz before merge.

日本語の概要は準備中です。原文の説明を表示しています。

Neeeophytee/finding-unknowns-skills3472026年9月28日 更新

Audit the instructions an agent already carries — CLAUDE.md, AGENTS.md, skills, tool descriptions — for contradictions, over-constraint, and duplication, then propose a cut list. Use when an agent ignores its own instructions, when a CLAUDE.md has grown bloated, or when the user asks to audit or rightsize their agent context.

日本語の概要は準備中です。原文の説明を表示しています。

Neeeophytee/finding-unknowns-skills3472026年9月28日 更新

Neeeophytee のスキルをすべて見る

このスキルの問題を報告する