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interview-kit采访套件

Agent Skill

interview-kit 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

661

周安装

27

GitHub Stars

115

下载量

214
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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-kit(采访套件)
来源仓库:https://github.com/shawnpang/startup-founder-skills
仓库路径:skills/interview-kit
安装命令:
npx skills add https://github.com/shawnpang/startup-founder-skills --skill interview-kit
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/shawnpang/startup-founder-skills --skill interview-kit

简介

该技能用于查找、检索和筛选相关信息。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。

  • 适合根据关键词或任务场景快速定位候选结果。
  • 可通过 npx 命令从指定 GitHub 仓库安装使用。
  • 使用前需确认权限范围及是否涉及联网或文件操作。
  • interview-kit 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Interview Kit

When to Use

  • Designing a structured interview loop for a specific role and level
  • Creating standardized question banks organized by interview round type
  • Building scoring rubrics for consistent candidate evaluation across interviewers
  • Reducing interviewer bias with process controls and calibration
  • Turning a job description into a repeatable evaluation process
  • Calibrating interview panels after quarterly hiring outcome reviews

Context Required

  • From startup-context: Company stage, team size, engineering culture, current interview process (if any), hiring velocity
  • From user: Role title, level (junior/mid/senior/staff), key competencies to evaluate, number of interview rounds the team can support, whether a take-home or live exercise is preferred

Workflow

  1. Define competencies — Extract 4-6 core competencies from the job description. Split into technical skills, domain knowledge, collaboration traits, and startup-fit signals. Each competency must be evaluable with observable evidence.
  2. Design the interview loop — Map competencies to interview stages with explicit, non-overlapping objectives per round. Typical startup loop: recruiter/founder screen, technical assessment, team interview, values interview. Assign timing and interviewers to each stage.
  3. Write structured questions — For each stage, write 3-5 primary questions with follow-up probes. Every question must map to a specific competency. Include "what good looks like" answer guidance so interviewers know what signal they are looking for.
  4. Build scorecards — Create a 1-4 rating scale (not 1-5 — it creates a "3 means fine" dead zone). Define behavioral anchors at each level specific to the role. Interviewers must score independently before the debrief.
  5. Design take-home or live exercise — If applicable, create a practical assessment that mirrors real work. Time-cap it (2-4 hours max), share the evaluation rubric with the candidate upfront, and always follow up with a live walkthrough.
  6. Add anti-bias guardrails — Require structured debrief instructions, independent scoring protocol, and a checklist of common bias traps. Every candidate for the same role gets the same core questions in the same order.
  7. Plan calibration cadence — Set quarterly recalibration using hiring outcome data. Review whether loop design still surfaces the right signals based on quality-of-hire metrics.

Output Format

A complete interview kit document containing:

  • Role summary and competency matrix (4-6 competencies with definitions)
  • Interview loop overview (stages, duration, interviewers, competency mapping)
  • Per-stage question sets with follow-up probes and scoring rubrics
  • Take-home or live exercise brief with time cap and evaluation criteria
  • Scorecard template (1-4 scale with behavioral anchors)
  • Debrief protocol with independent scoring and evidence-based discussion rules
  • Compensation benchmarking notes (if requested)

Frameworks & Best Practices

Competency Categories by Role Type

  • Engineering: System design, code quality, debugging approach, technical communication, ownership/initiative
  • Product: Customer empathy, prioritization frameworks, cross-functional communication, data-informed thinking, shipping velocity
  • Go-to-market: Discovery/qualification, storytelling, objection handling, pipeline management, customer orientation
  • Design: Design process, craft quality, user research fluency, systems thinking, collaboration with engineering

Scorecard Design (1-4 Scale)

  • 1 — Does not meet bar: Could not demonstrate the competency. Clear concerns.
  • 2 — Below bar: Showed partial ability but gaps are significant for the level.
  • 3 — Meets bar: Demonstrated the competency at the expected level. Solid hire signal.
  • 4 — Exceeds bar: Demonstrated exceptional strength. Would raise the team's capability.

Each score level must include 1-2 concrete behavioral anchors specific to the role being evaluated.

The STAR-B Question Framework

Structure behavioral questions to elicit complete, pattern-revealing answers:

  • Situation: Set the scene
  • Task: What was your responsibility
  • Action: What specifically did you do
  • Result: What happened
  • Behavior pattern: Is this a repeatable pattern or a one-off

Example: "Tell me about a time you had to ship something with significant technical debt. What was the situation, what did you decide, and how did it play out? Would you make the same call again?"

Anti-Bias Techniques

  • Structured questions: Every candidate for the same role gets the same core questions in the same order
  • Independent scoring: Interviewers submit scores before the debrief meeting — no anchoring on a senior person's opinion
  • Blind resume review: Strip names, photos, school names, and company names in the initial screen where possible
  • Diverse interview panels: Include at least one interviewer from an underrepresented background when possible
  • Language check: Before writing feedback, ask "Would I say this about a different candidate?" to catch biased framing
  • Replace "culture fit" with "values alignment" and require specific behavioral evidence

Take-Home Assignment Guidelines

  • Time-capped: 2-4 hours maximum. State this explicitly and mean it.
  • Mirrors real work: The exercise should resemble an actual task the person would do in the role
  • Transparent criteria: Share the rubric with the candidate upfront so they know what you value
  • Equitable access: Offer a paid alternative if the candidate cannot invest unpaid time
  • Debrief required: Always follow up with a live walkthrough where the candidate explains their choices

Common Pitfalls

  • Overweighting one round while ignoring other competency signals
  • Using unstructured interviews without standardized scoring
  • Skipping calibration sessions for interviewers
  • Changing the hiring bar without documenting rationale
  • Letting round objectives overlap so multiple stages test the same thing

Compensation Benchmarking Framework

Use three inputs to triangulate:

  1. Market data: Levels.fyi, Pave, Carta Total Comp, Glassdoor as directional
  2. Stage multiplier: Seed pays 70-85% of big-co base with 0.5-2% equity; Series A narrows to 80-95%
  3. Candidate calibration: Adjust for experience, competing offers, and location within the level band

Always present comp as a range with a target midpoint, not a single number.

Related Skills

  • job-description — Use the JD's competency requirements as input for the interview loop
  • sourcing-outreach — Align outreach messaging with the interview process so candidates know what to expect

Examples

Prompt: "Design an interview loop for a senior backend engineer. 15-person startup."

Good output snippet:

## Interview Loop — Senior Backend Engineer

### Competencies to Evaluate
1. System design & architecture (technical depth)
2. Code quality & testing practices (craft)
3. Debugging & production thinking (operational maturity)
4. Technical communication (collaboration)
5. Ownership & initiative (startup fit)

### Stage 1: Founder Screen (30 min)
- Evaluate: Motivation, communication, logistics
- Questions:
  - "What's drawing you to an early-stage company right now?"
  - "Walk me through the most impactful project you led in the last year."
- Scorecard: 1-4 on communication, motivation, startup-fit

### Stage 2: Technical Deep-Dive (60 min)
- Evaluate: System design, code quality
- Format: Live system design discussion + code review exercise
- Scorecard: 1-4 on architecture thinking, code craft, trade-off reasoning

Prompt: "Our interviewers keep disagreeing on candidates."

Good output snippet:

This usually means you lack structured evaluation criteria. Three-step fix:

1. Define 4-5 competencies per role with written behavioral descriptions
2. Give each interviewer a scorecard to fill out independently BEFORE debrief
3. In the debrief, discuss only scores that diverge by 2+ points —
   focus on evidence, not impressions

The goal is calibrated, evidence-based evaluation — not consensus.

适合场景

01

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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

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能力 2

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能力 3

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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

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按下载量换算74

Claude

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Cursor

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按下载量换算35

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