Design and manage structured evidence-based interviews, including scorecards, question banks, rubrics, panel coordination, evaluation, and offer decision sup...
数据来源:ClawHub。 在 ClawSkills 查看
选择你使用的 Agent
方法一:命令行安装(推荐)
推荐(无需提前安装 clawhub)
npx clawhub@latest --dir ~/.claude/skills install afrexai-interview-architect或使用 clawhub CLI(需提前安装)
clawhub --dir ~/.claude/skills install afrexai-interview-architect⚠️ 需要 Node.js 18+,没有 Node?请使用下方方法二直接下载 ZIP。 安装 Node.js →
方法二:手动下载安装(无需 Node)
下载 ZIP,解压后将文件夹放到以下路径,重启 Agent 即可:
安装路径
~/.claude/skills/afrexai-interview-architect/💡解压后将文件夹放到上方路径,重启 Agent 即可生效
Complete hiring interview system — from job scorecard design through structured question banks, live evaluation rubrics, panel coordination, and offer decisions. Eliminates gut-feel hiring with evidence-based frameworks that predict on-the-job performance.
Tell me what you need:
---
Rule: Never look at a resume before defining what "great" looks like.
scorecard:
role: "[Title]"
level: "[Junior/Mid/Senior/Staff/Principal/Director/VP]"
team: "[Team name]"
hiring_manager: "[Name]"
created: "YYYY-MM-DD"
mission:
statement: "[One sentence: why does this role exist?]"
success_metric: "[How we'll know this hire was successful in 12 months]"
outcomes:
# 3-5 specific, measurable results expected in first 12 months
- outcome: "[e.g., Reduce deployment time from 45min to <10min]"
measure: "[Metric: deployment duration, measured via CI/CD logs]"
timeline: "Q1-Q2"
priority: "critical"
- outcome: "[e.g., Ship v2 API with 99.9% uptime]"
measure: "[Uptime %, error rate, customer adoption]"
timeline: "Q2-Q3"
priority: "critical"
- outcome: "[e.g., Mentor 2 junior engineers to mid-level competency]"
measure: "[Promotion readiness assessment, PR quality metrics]"
timeline: "Q3-Q4"
priority: "important"
competencies:
technical:
must_have:
- name: "[e.g., System design]"
level: "[Novice/Competent/Proficient/Expert]"
evidence: "[What demonstrates this: e.g., designed systems handling 10K+ RPS]"
- name: "[e.g., TypeScript/React]"
level: "Proficient"
evidence: "[Shipped production TS/React apps, not just tutorials]"
nice_to_have:
- name: "[e.g., Kubernetes]"
level: "Competent"
behavioral:
must_have:
- name: "Ownership"
definition: "Takes responsibility for outcomes, not just tasks. Doesn't wait to be told."
anti_pattern: "Says 'that's not my job' or 'I was told to do X'"
- name: "Communication"
definition: "Explains complex ideas simply. Writes clear docs. Raises issues early."
anti_pattern: "Surprises stakeholders. Can't explain their own work."
- name: "Growth mindset"
definition: "Seeks feedback. Admits mistakes. Improves from failure."
anti_pattern: "Defensive about criticism. Repeats same mistakes."
nice_to_have:
- name: "[e.g., Cross-functional leadership]"
cultural:
values_alignment:
- "[Company value 1: what this looks like in practice]"
- "[Company value 2: what this looks like in practice]"
anti_signals:
- "[Red flag behavior 1]"
- "[Red flag behavior 2]"
compensation:
band: "[min - max]"
equity: "[range if applicable]"
flexibility: "[What's negotiable]"
deal_breakers:
# Hard no's — instant disqualification
- "[e.g., Cannot start within 4 weeks]"
- "[e.g., No experience with production systems at scale]"
- "[e.g., Requires >30% above band]"
Before proceeding, verify:
---
interview_loop:
role: "[from scorecard]"
total_duration: "[X hours across Y sessions]"
stages:
- stage: "Resume Screen"
duration: "5-10 min"
who: "Recruiter or hiring manager"
evaluates: ["deal_breakers", "basic_qualification"]
pass_rate_target: "30-40%"
- stage: "Phone Screen"
duration: "30 min"
who: "Hiring manager"
evaluates: ["communication", "motivation", "outcome_1_capability"]
format: "Structured conversation"
pass_rate_target: "50%"
- stage: "Technical Assessment"
duration: "60-90 min"
who: "Senior engineer"
evaluates: ["technical_competencies"]
format: "Live coding OR take-home (see Phase 4)"
pass_rate_target: "40-50%"
- stage: "System Design"
duration: "45-60 min"
who: "Staff+ engineer"
evaluates: ["system_design", "trade_off_thinking", "communication"]
format: "Whiteboard/collaborative design"
pass_rate_target: "50%"
applies_to: "Senior+ only"
- stage: "Behavioral Deep-Dive"
duration: "45-60 min"
who: "Hiring manager + cross-functional partner"
evaluates: ["behavioral_competencies", "cultural_values"]
format: "STAR-based structured interview"
pass_rate_target: "60%"
- stage: "Team Fit / Reverse Interview"
duration: "30 min"
who: "2-3 potential teammates"
evaluates: ["collaboration_style", "candidate_questions"]
format: "Informal but structured"
pass_rate_target: "80%"
- stage: "Hiring Manager Final"
duration: "30 min"
who: "Hiring manager"
evaluates: ["remaining_concerns", "motivation", "offer_readiness"]
format: "Conversation"
timeline:
screen_to_onsite: "< 5 business days"
onsite_to_decision: "< 2 business days"
decision_to_offer: "< 1 business day"
total_process: "< 3 weeks"
| Level | Skip | Add | Emphasis | |-------|------|-----|----------| | Junior (0-2 yr) | System design | Pair programming, learning ability | Potential > experience | | Mid (2-5 yr) | — | — | Balanced: execution + growth | | Senior (5-8 yr) | — | Architecture discussion | Impact, ownership, mentoring | | Staff (8+ yr) | Basic coding | Design doc review, strategy | Influence, technical vision | | Principal | Basic coding | Vision presentation, exec interview | Org-wide impact | | Manager | Live coding | Skip-level, cross-functional | People outcomes, strategy | | Director+ | All IC technical | Board/exec presentation | Business impact, org building |
---
For each question below:
Q: "Tell me about a time you identified a problem no one asked you to fix, and you fixed it anyway."
Probe: "How did you discover it? What did you do first? What was the outcome?"
Green signal: Specific problem, proactive action, measurable impact
Red flag: Can't recall an example, or problem was trivial
Q: "Describe a project that failed or didn't meet expectations. What was your role?"
Probe: "What would you do differently? What did you learn?"
Green signal: Owns their part, specific lessons, changed behavior afterward
Red flag: Blames others, no learning, defensive
...安装 Interview Architect 后,可以对 AI 说这些话来触发它
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Use Interview Architect to design and manage structured evidence-based interviews, including s...
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将技能文件夹放到 ~/.claude/skills/afrexai-interview-architect/ 目录(个人级,所有项目可用),或 .claude/skills/afrexai-interview-architect/(项目级)。重启 AI 客户端后,用 /afrexai-interview-architect 主动调用,或让 AI 根据上下文自动发现并使用。
Interview Architect 支持 Claude、Cursor、OpenClaw,可与这些 AI 平台无缝集成,扩展其能力。
Interview Architect 可免费安装使用。请查阅仓库了解许可证信息。
Design and manage structured evidence-based interviews, including scorecards, question banks, rubrics, panel coordination, evaluation, and offer decision sup...
Interview Architect 属于「Finance & Investment」分类,该分类的技能帮助 AI 智能体在此领域执行专业任务。
Automate my finance & investment tasks using Interview Architect
Identifies repetitive steps in your workflow and sets up Interview Architect to handle them automatically