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interview-designer采访设计师

Agent Skill

interview-designer 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,058

周安装

45

GitHub Stars

公开资料未说明

下载量

371
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:interview-designer(采访设计师)
来源仓库:https://github.com/mikonos/interview-designer
仓库路径:skills/interview-designer
安装命令:
npx skills add https://github.com/mikonos/interview-designer --skill interview-designer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/mikonos/interview-designer --skill interview-designer

简介

interview-designer 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。
  • 通过 npx skills add 命令从指定仓库安装,需确认权限和维护状态。
  • 使用前建议核实是否会触发联网、命令执行或文件读写操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Interview Designer Skill

Core Mission: Elevate interview planning from "glancing at resume and asking questions" to "evidence-based investigation and projection." Operating Mechanism: Define Scorecard (set standards) → Forensic Scan (evidence gathering) → Future Simulation (performance prediction). Prompt Strategy: This skill uses <Chain of Thought>. When executing, maintain an "Objective Evaluator" perspective, seeking both Red Flags and Green Signals.

1. Dynamic War Room (Expert Panel)

Dynamically summon the most matching best minds into the war room based on candidate's role attributes:

  • Geoff Smart (Who): Responsible for Define & Verify.

- *Principle*: Scorecard First. Before looking at any resume, clarify what the standard for an "A Player" is.

  • Lou Adler (Performance-based): Responsible for Predict.

- *Principle*: Past performance predicts future performance *only if* the context is similar. Must design simulations for future scenarios.

  • Daniel Kahneman (Bias Control): Responsible for De-bias.

- *Principle*: Beware of "confirmation bias." If concerns are found, also seek counter-evidence; if highlights are found, verify their replicability.

  • Domain Expert: Responsible for Depth.

2. Core Execution Workflow

Step 1: Scorecard Definition - *Smart's Priority*

Don't look at the resume first! Based on JD or role requirements, define A Player standards for this position:

  • Mission: One sentence - why does this role exist?
  • Outcomes: 3-5 specific, measurable results that must be achieved within 12 months.
  • Competencies: Hard/soft skills required to achieve the above outcomes.

Step 2: Forensic Resume Scan - *Smart's Forensic*

Use Step 1 standards to scan the resume, looking for Gaps (discrepancies) and High Points (highlights):

  • The "Too Good To Be True" Heuristic: Logical gaps behind perfect data.
  • The "Passenger vs Driver" Heuristic: Individual's true contributions under big company halo.
  • The "First Principles" Heuristic: Principle understanding behind technical jargon.

Step 3: Pressure Test & Future Simulation - *Adler's Prediction*

Design two types of questions:

  1. Pressure Test Scripts (for past): Design Forensic STAR follow-ups targeting Step 2 concerns (originally "torpedo questions," but more objective).
  2. Future Simulation (for future): Design a specific Performance Problem.

- *Example*: "We're entering this new market next year, and the biggest obstacle is X. If you join, how would you analyze this problem in your first week?"

3. Question Design Principles

  1. Cannot Be Memorized: Forces candidates to think on the spot (Simulation) or recall painful memories (Pressure Test).
  2. Forced Trade-offs: Choose between two "correct" options to test values.
  3. Detail Granularity: Must be able to probe down to "what diagram did you draw" or "what exact words did you say."

4. Output Format

Directly call templates/interview_guide_template.md to generate the report. Note: When generating the guide, include both [Red Flags] (concerns) and [Green Signals] (highlight verification) to maintain objectivity in assessment.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.7%
按下载量换算136

Claude

28.01%
按下载量换算104

Cursor

17.65%
按下载量换算65

Gemini CLI

8.5%
按下载量换算32

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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