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Agent Skill · 研究检索

developer-interview-loop-design(开发者面试循环设计)

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

developer-interview-loop-design 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 66,424。

总安装 264周安装 11GitHub Stars 公开资料未说明下载 88核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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:developer-interview-loop-design(开发者面试循环设计)
来源仓库:https://github.com/clous-ai/agents
仓库路径:skills/developer-interview-loop-design
安装命令:
npx skills add clous-ai/agents --skill "developer-interview-loop-design"
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。

AgentSkills.tonpx skills
npx skills add clous-ai/agents --skill "developer-interview-loop-design"

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

developer-interview-loop-design 优化技术面试流程与问题结构设计。适用于 Codex、Claude、Cursor、Gemini CLI 中提升评估客观性与深度。通过 npx 从 GitHub 仓库安装后可生成定制化题库与评分标准。注意平衡广度与深度,避免过度侧重冷门知识点。

适合资深工程师参与面试官培训与题库共建。

来源仓库内路径:skills/developer-interview-loop-design

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add clous-ai/agents --skill "developer-interview-loop-design";命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

developer-interview-loop-design 怎么安装?

在终端执行 npx skills add clous-ai/agents --skill "developer-interview-loop-design"。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

developer-interview-loop-design 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

developer-interview-loop-design 需要什么权限?

权限级别是只读。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。

developer-interview-loop-design 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

developer-interview-loop-design 用的人多吗?

公开数据是累计安装 264 次,近一周安装 11 次,下载 88 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

developer-interview-loop-design 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
developer-interview-loop-design

开发者面试循环设计 · 本页

264—只读MIT未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
developer-interview-loop-design
description
This skill should be used when the user asks to "design an interview loop", "create interview process", "build interview rubric", "structure interviews by competency", "define interview stages", or "plan technical interviews". Designs structured, competency-based interview loops that assess technical, leadership, and collaboration skills while ensuring legal compliance and candidate experience.
version
0.1.0
license
MIT

Developer Interview Loop Design

Design structured, fair, and effective interview loops that assess engineering candidates across technical, leadership, and collaboration competencies.

Purpose

Create interview loops that:

  • Assess all competencies from role scorecard
  • Minimize bias through structured questions
  • Provide excellent candidate experience
  • Enable data-driven hiring decisions
  • Comply with employment law

When to Use

Invoke when:

  • Creating new interview process for role
  • Redesigning existing interview loop
  • Standardizing interviews across team
  • Training new interviewers
  • Ensuring legal compliance in assessments

Core Process

1. Map Competencies to Interview Stages

Based on role scorecard, design loop structure:

Standard Engineering Loop:

StageDurationCompetencyInterviewer(s)Format
Recruiter Screen30 minBasic fit, communicationRecruiterPhone/Video
Technical Screen60 minTechnical (coding)EngineerLive coding
Coding Interview90 minTechnical (algorithms, problem-solving)2 EngineersWhiteboard/CoderPad
System Design60 minTechnical (architecture)Senior+ EngineerWhiteboard
Behavioral45 minLeadership, CollaborationHiring ManagerStructured Q&A
Team Fit45 minCollaboration, CultureTeam memberConversational

Total Time: 5-6 hours

Competency Coverage:

  • Technical: 70% (Screen + Coding + Design)
  • Leadership: 15% (Behavioral)
  • Collaboration: 15% (Behavioral + Team Fit)

2. Create Interview Rubrics

For each interview stage, define:

Rubric Structure:

{
  "interview_stage": "System Design Interview",
  "duration_minutes": 60,
  "competencies_assessed": ["Technical Architecture", "Communication"],
  "evaluation_criteria": [
    {
      "criterion": "Problem decomposition",
      "weight": 0.3,
      "scoring": {
        "5": "Breaks down complex system into clear components with trade-offs",
        "3": "Identifies major components, some gaps in analysis",
        "1": "Struggles to decompose problem"
      }
    },
    {
      "criterion": "Scale considerations",
      "weight": 0.25,
      "scoring": {
        "5": "Proactively discusses scaling, bottlenecks, data volumes",
        "3": "Addresses scale when prompted",
        "1": "Does not consider scale"
      }
    },
    {
      "criterion": "Communication clarity",
      "weight": 0.2,
      "scoring": {
        "5": "Clearly explains thinking, uses diagrams effectively",
        "3": "Communicates adequately with some prompting",
        "1": "Difficult to follow reasoning"
      }
    },
    {
      "criterion": "Technical depth",
      "weight": 0.25,
      "scoring": {
        "5": "Deep understanding of databases, caching, queuing, etc.",
        "3": "Solid fundamentals, some depth",
        "1": "Surface-level understanding"
      }
    }
  ],
  "pass_threshold": 3.0,
  "strong_hire_threshold": 4.0
}

Scoring Scale (1-5):

  • 5: Exceptional - exceeds expectations for level
  • 4: Strong - clearly meets expectations
  • 3: Adequate - meets minimum bar
  • 2: Weak - concerns about fit
  • 1: Poor - does not meet bar

3. Develop Structured Questions

Create question banks with consistent rubrics:

Behavioral Interview Questions (STAR Method):

Must assess: Leadership, Collaboration

Leadership Questions:

  • "Tell me about a time you mentored a junior engineer. What was your approach?"
  • "Describe a situation where you had to influence a technical decision you weren't directly responsible for."
  • "Give an example of when you improved a team process or practice."

Collaboration Questions:

  • "Describe a time you disagreed with a teammate on a technical approach. How did you resolve it?"
  • "Tell me about working with a difficult stakeholder. How did you manage the relationship?"
  • "Give an example of when you had to explain a complex technical concept to a non-technical audience."

STAR Evaluation:

  • Situation: Context clearly described?
  • Task: Responsibility/goal clear?
  • Action: Specific actions taken?
  • Result: Measurable outcome?

Technical Questions (Coding):

Create bank organized by difficulty:

## Easy (Warm-up, Junior level)
- Two Sum
- Valid Palindrome
- Reverse String

## Medium (Core assessment, Mid-Senior)
- Longest Substring Without Repeating Characters
- Merge Intervals
- LRU Cache

## Hard (Senior+ differentiation)
- Serialize/Deserialize Binary Tree
- Word Ladder
- Design In-Memory File System

Anti-Pattern: Don't just test algorithm memorization. Assess:

  • Problem-solving approach
  • Code quality and organization
  • Testing and edge cases
  • Communication while coding

4. Train Interviewers

Ensure consistent, fair interviews:

Interviewer Calibration:

  • Shadow 3-5 interviews before conducting independently
  • Compare scores with experienced interviewers
  • Attend calibration sessions quarterly
  • Review unconscious bias training

Interview Guidelines:

  • Use structured questions from question bank
  • Take detailed notes during interview
  • Score immediately after interview
  • Don't be influenced by other interviewers' feedback until debrief

Red Flags to Avoid:

  • Asking questions about protected characteristics
  • Making hiring decisions based on "gut feeling"
  • Asking different questions to different candidates
  • Failing to document decision rationale

5. Plan Logistics

Scheduling:

  • Book interview rooms/video links in advance
  • Send calendar invites with prep materials
  • Include 15-min buffer between interviews
  • Provide candidate with schedule and interviewer info

Candidate Experience:

  • Send confirmation email with loop details
  • Provide parking/office directions
  • Assign "candidate host" for day-of coordination
  • Offer water, snacks, breaks
  • Set expectations: duration, format, what to prepare

Interviewer Preparation:

  • Share candidate resume 24hrs before interview
  • Provide interview rubric and questions
  • Clarify which competency to assess
  • Set expectation to submit feedback within 24hrs

6. Conduct Debrief

Debrief Structure:

  • Each interviewer presents score + rationale (2-3 min)
  • Discuss discrepancies (if 2+ point difference)
  • Hiring manager summarizes consensus
  • Make decision: Strong Hire / Hire / No Hire / Strong No Hire

Decision Framework:

  • Strong Hire: All interviews ≥ 4.0, move to offer immediately
  • Hire: Average ≥ 3.5, no red flags
  • No Hire: Average < 3.0 or any critical red flag
  • Strong No Hire: Multiple poor interviews, clear misfit

Anti-Bias Techniques:

  • Hiring manager speaks last (avoid anchoring)
  • Focus on evidence, not impressions
  • Reference specific rubric criteria
  • Challenge "culture fit" concerns for specificity

7. Generate Loop Documentation

Output comprehensive interview guide:

{
  "role": "Senior Backend Engineer",
  "loop_structure": [
    {
      "stage": "Recruiter Screen",
      "duration_minutes": 30,
      "interviewer_type": "Recruiter",
      "competencies": ["Basic qualification", "Communication"],
      "key_questions": ["Why interested in role?", "Salary expectations?"],
      "pass_criteria": "Meets must-haves, good communication"
    },
    {
      "stage": "Technical Screen",
      "duration_minutes": 60,
      "interviewer_type": "Engineer (any level)",
      "competencies": ["Coding fundamentals"],
      "problem": "Medium difficulty coding problem",
      "pass_criteria": "Solves problem with hints, clean code"
    }
  ],
  "rubrics": {
    "coding_interview": { /* detailed rubric */ },
    "system_design": { /* detailed rubric */ },
    "behavioral": { /* detailed rubric */ }
  },
  "interviewer_training": {
    "required_shadowing": 3,
    "calibration_frequency": "quarterly",
    "bias_training_required": true
  },
  "decision_criteria": {
    "strong_hire_threshold": 4.0,
    "hire_threshold": 3.5,
    "must_pass_all_competencies": true
  }
}

Save to interview-loop-{role}-{date}.json.

Using Supporting Resources

Templates

  • templates/interview-rubric.json - Rubric schema with scoring
  • templates/question-bank.md - STAR behavioral questions by competency
  • templates/coding-problems.md - Technical problems by difficulty

References

  • references/legal-interview-questions.md - Permissible vs prohibited questions
  • references/anti-bias-techniques.md - Structured interview best practices
  • references/candidate-experience.md - Logistics, communication, follow-up

Scripts

  • scripts/validate-loop.py - Check competency coverage, time allocation
  • scripts/generate-scorecard.py - Create interviewer scorecards

Example Workflow

User: "Design interview loop for senior backend engineer position"

Steps:

  1. Load role scorecard (technical 70%, leadership 20%, collaboration 10%)
  2. Design 6-stage loop: Screen, Coding, System Design, Behavioral, Team Fit, Hiring Manager
  3. Create rubrics for each stage with 3-5 criteria
  4. Build question banks (STAR behavioral, coding problems by difficulty)
  5. Define pass thresholds (3.5 average, all competencies ≥ 3.0)
  6. Plan logistics (5-6 hour loop, virtual or onsite)
  7. Generate loop documentation + interviewer training guide
  8. Validate with loop validator script

Output: Complete interview loop ready for execution

Legal Compliance

Prohibited Questions:

  • Age, birthdate, graduation year
  • Marital status, children, pregnancy
  • Disability, health conditions
  • Religion, national origin, race
  • Arrest record (in most states)

Best Practices:

  • Ask same questions to all candidates
  • Focus on job-related scenarios
  • Document scoring immediately
  • Train interviewers on bias

See references/legal-interview-questions.md for detailed guidance.


Progressive Disclosure: Detailed question banks, anti-bias techniques, and legal compliance are in references/. Core loop design framework above covers standard engineering roles.

平台分布

Codex

27.89%
按下载量换算25

Claude Code

22.41%
按下载量换算20

Gemini CLI

18.73%
按下载量换算16

windsurf

10.82%
按下载量换算10

OpenCode

7.66%
按下载量换算7

Cursor

3.35%
按下载量换算3

安全审计

暂无安全审计结果可展示。

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。目前只有一个公开来源,建议同时核对源仓库。

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