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interview-loop-strategist采访循环策略师

Agent Skill

interview-loop-strategist 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

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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-loop-strategist(采访循环策略师)
来源仓库:https://github.com/erichowens/some_claude_skills
仓库路径:skills/interview-loop-strategist
安装命令:
npx skills add https://github.com/erichowens/some_claude_skills --skill interview-loop-strategist
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/erichowens/some_claude_skills --skill interview-loop-strategist

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-loop-strategist 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 Loop Strategist

End-to-end orchestrator for senior-level AI/ML interview preparation. Coordinates timelines, story coherence across rounds, mock interview cadence, energy management, and post-interview debrief -- routing each round type to its specialist skill.

When to Use

Use for:

  • Building a complete interview prep plan for a specific company
  • Generating 2-week, 1-month, or 2-month preparation timelines
  • Ensuring story coherence -- the same project told correctly across behavioral, technical, and HM rounds
  • Scheduling and tracking mock interview cadence
  • Energy management strategy for all-day virtual or onsite loops
  • Post-interview debrief analysis and improvement planning
  • Coordinating across all 7 round-specific interview skills

NOT for:

  • Resume or CV creation (use cv-creator)
  • Career narrative extraction (use career-biographer)
  • Practicing a single round type in isolation (use the round-specific skill directly)
  • Salary negotiation or offer evaluation
  • General career counseling

Full Interview Pipeline

flowchart TD
    A[Career Biographer] -->|Extracts narrative| B[CV Creator]
    B -->|Resume finalized| C[Interview Loop Strategist]
    C --> D{Company Target Selected}
    D --> E[Generate Prep Timeline]
    E --> F[Story Coherence Matrix]
    F --> G[Round-Specific Prep]

    G --> G1[Recruiter Screen<br/>Self-prep]
    G --> G2[CodeSignal / Coding<br/>senior-coding-interview]
    G --> G3[Hiring Manager Screen<br/>hiring-manager-deep-dive]
    G --> G4[ML System Design<br/>ml-system-design-interview]
    G --> G5[Technical Deep Dive<br/>anthropic-technical-deep-dive]
    G --> G6[Tech Presentation<br/>tech-presentation-interview]
    G --> G7[Values & Behavioral<br/>values-behavioral-interview]

    G1 --> H[Mock Interviews<br/>interview-simulator]
    G2 --> H
    G3 --> H
    G4 --> H
    G5 --> H
    G6 --> H
    G7 --> H

    H --> I[Debrief & Adjust]
    I -->|Iterate| G
    I --> J[Interview Day<br/>Energy Protocol]
    J --> K[Post-Loop Debrief]
    K --> L{Offer?}
    L -->|Yes| M[Negotiation Phase]
    L -->|No| N[Gap Analysis & Retry]
    N -->|Update plan| E

Skill Routing Table

Each round type maps to a specialist skill. The strategist coordinates -- it does not execute round-specific practice.

Round TypeSpecialist SkillKey Focus
Recruiter ScreenSelf-prep (no skill needed)Pitch, motivation, logistics, salary range
Online Assessment / Codingsenior-coding-interviewLC hard, system design lite, time management
Hiring Manager Screenhiring-manager-deep-diveLeadership, team fit, technical judgment
ML System Designml-system-design-interviewEnd-to-end ML pipelines, tradeoffs, scale
Technical Deep Diveanthropic-technical-deep-divePast work forensics, technical depth, AI safety
Tech Presentationtech-presentation-interview45-min talk, audience calibration, Q&A
Values / Behavioralvalues-behavioral-interviewSTAR stories, Anthropic values alignment
Mock Executioninterview-simulatorRealistic timed practice with scoring

Prep Timeline Selection

Choose based on time until first round:

flowchart LR
    T{Time Available?}
    T -->|< 2 weeks| P1[Intensive Plan<br/>4-6 hrs/day]
    T -->|2-5 weeks| P2[Balanced Plan<br/>2-3 hrs/day]
    T -->|6+ weeks| P3[Thorough Plan<br/>1-2 hrs/day]
    P1 --> R[See references/<br/>preparation-timeline-templates.md]
    P2 --> R
    P3 --> R

For detailed daily schedules, consult references/preparation-timeline-templates.md.


Story Coherence Matrix

A senior candidate has 5-8 strong projects. Each project will surface in multiple rounds but must be tailored to the audience and evaluation criteria of that round.

How to Build the Matrix

  1. List top 5 projects from career-biographer output (or direct input)
  2. For each project, write 3 versions:
VersionRound TypeEmphasisLength
TechnicalML Design, Deep DiveArchitecture decisions, tradeoffs, metrics, what you would change8-12 min
ImpactBehavioral, HMLeadership, influence, collaboration, business outcome3-5 min (STAR)
NarrativePresentation, RecruiterStory arc, why it matters to the world, lessons learnedVariable
  1. Cross-check for contradictions -- dates, team sizes, your role, metrics must be identical across versions
  2. Map projects to Anthropic values -- which project demonstrates which value (safety, honesty, broad benefit)?

Example Coherence Entry

Project: Real-Time Object Detection Pipeline (2019-2022)

RoundVersionKey Points
ML DesignTechnicalYOLOv5 -> custom architecture, 40ms latency constraint, edge deployment, model distillation tradeoffs
Deep DiveTechnicalWhy ResNet backbone over EfficientNet, quantization strategy, failure mode analysis, production monitoring
BehavioralImpactLed 4-person team through 3 pivots, managed stakeholder expectations when accuracy targets slipped, mentored junior engineer who became tech lead
HM ScreenImpactDrove 35% revenue increase through automation, navigated org politics to get GPU budget, built cross-functional relationships
PresentationNarrative"From research prototype to production system serving 10M requests/day -- lessons in making ML real"

Energy Management Protocol

All-day interview loops (4-6 hours) are endurance events. Cognitive fatigue causes more failures than knowledge gaps.

Before Interview Day

  • Sleep 7-8 hours for 3 consecutive nights prior (not just the night before)
  • Prepare environment: quiet room, backup internet, charged devices, water, snacks
  • Do NOT cram the morning of -- review only your story coherence matrix and 1-page cheat sheet
  • Light exercise the morning of (walk, stretch -- not a hard workout)

During the Loop

Break LengthActivityAvoid
5 minStand, stretch, water, deep breathsPhone, social media, reviewing notes
15 minWalk, snack (protein > sugar), bathroomReplaying the previous round
30+ min (lunch)Eat a real meal, step outside, resetStudying for next round

Cognitive Sequencing

If you can influence round order (sometimes companies ask preference):

  1. Start with your strongest round -- builds confidence momentum
  2. Put coding early -- requires peak cognitive freshness
  3. Behavioral/values in the middle -- these are conversational and let you recover
  4. Presentation whenever you rehearsed it -- muscle memory carries you
  5. Avoid technical deep dive as last round -- fatigue makes it easy to ramble

Debrief Framework

Run after every mock AND every real interview round.

Immediate (within 30 minutes)

  1. Dump raw notes -- what questions were asked, what you said, what you wish you said
  2. Emotional check -- how did you feel? Confident, uncertain, surprised?
  3. Time check -- did you run over? Under? Where did you lose time?

Structured Analysis (within 24 hours)

DimensionScore (1-5)EvidenceAction Item
Technical accuracy
Communication clarity
Time management
Story coherence
Energy / confidence
Question handling

Pattern Detection (weekly)

  • What round types consistently score lowest?
  • Which stories land well? Which fall flat?
  • Are you improving on last week's action items?
  • Adjust prep timeline allocation based on weakness trends

For scoring rubrics per round type, consult references/mock-interview-rubrics.md.


Anti-Patterns

Anti-Pattern: Uniform Preparation

Novice: Spends equal time on every round type -- 2 hours coding, 2 hours design, 2 hours behavioral, repeat. Expert: Analyzes personal weaknesses and round weighting. A candidate who aces design but freezes in coding allocates 60% of prep to coding. A candidate whose stories are inconsistent spends dedicated time on the coherence matrix. Detection: Prep log shows identical hours across all categories despite known weaknesses.

Anti-Pattern: Isolation Prep

Novice: Prepares each round independently. Tells a behavioral story about leading a team of 6 in one round, then says "I was the sole contributor" for the same project in a technical round. Expert: Uses the story coherence matrix to thread a consistent narrative across all rounds. Reviews the matrix before every mock. Has a peer check for contradictions. Detection: Same project described with conflicting details (team size, timeline, your role, metrics) across different round types.

Anti-Pattern: Mock Avoidance

Novice: Reads interview guides, watches YouTube videos, reviews flashcards -- but never actually practices speaking answers aloud under time pressure. Expert: Runs at minimum 2 full mock interviews per week in the final month. Records mocks. Reviews recordings. Uses interview-simulator for structured scoring. Treats mocks as the primary prep activity, not supplementary. Detection: Zero mock session recordings in history. Unable to answer questions within time limits despite "knowing the material."


Anthropic-Specific Notes

Anthropic's interview process (as of early 2026) emphasizes:

  1. AI Safety understanding -- not just technical competence, but genuine engagement with alignment, interpretability, and responsible deployment
  2. Technical depth over breadth -- they want to see how deep you can go on your own work, not surface-level familiarity with everything
  3. Collaborative problem-solving -- interviews are designed to feel like working sessions, not interrogations
  4. Intellectual honesty -- saying "I don't know" or "I was wrong about that" is valued over bluffing
  5. Mission alignment -- why Anthropic specifically, not just "any AI company"

For detailed company-specific loop structures (Anthropic, Google DeepMind, OpenAI, Meta FAIR), consult references/company-specific-loops.md.


Process: First Session with a Candidate

  1. Assess current state: Which company? When is the interview? What's your background?
  2. Review upstream artifacts: career-biographer output, cv-creator resume, any existing prep
  3. Select timeline template: 2-week / 1-month / 2-month based on available time
  4. Build story coherence matrix: Top 5 projects x 3 versions each
  5. Identify weakness areas: Self-assessment + any prior interview feedback
  6. Generate personalized prep plan: Daily schedule with skill routing
  7. Schedule first mock: Within 48 hours of starting prep
  8. Set debrief cadence: After every mock, weekly pattern review

Reference Files

FileConsult When
references/preparation-timeline-templates.mdGenerating a daily prep schedule for 2-week, 1-month, or 2-month timeline
references/mock-interview-rubrics.mdScoring mock interviews, self-evaluation, or identifying failure modes per round type
references/company-specific-loops.mdTailoring prep to a specific company's interview structure (Anthropic, DeepMind, OpenAI, Meta FAIR)

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