本文へ移動
cccskills
無料GitHub で公開

interview-loop-strategist

Orchestrates end-to-end interview preparation for senior ML/AI engineers targeting Anthropic and peer companies. Use for prep timeline generation, story coherence across rounds, mock scheduling, and debrief analysis. Activate on "interview prep", "interview loop", "Anthropic interview", "prep timeline". NOT for resume writing, career narratives, or individual round-type practice.

インストール方法を見る

含まれるファイル(4)

  • SKILL.md13.1 KB
  • references/company-specific-loops.md16.3 KB
  • references/mock-interview-rubrics.md15.6 KB
  • references/preparation-timeline-templates.md13.2 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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/&gt;4-6 hrs/day]
    T -->|2-5 weeks| P2[Balanced Plan<br/&gt;2-3 hrs/day]
    T -->|6+ weeks| P3[Thorough Plan<br/&gt;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)

Output Contract

This skill produces:

  • Interview loop design with rounds, focus areas, and interviewer assignments
  • Question bank organized by competency with scoring rubrics
  • Candidate evaluation template with structured feedback format
  • Debrief protocol with consensus-building and decision framework

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Expert in 2000s-era music visualization (Milkdrop, AVS, Geiss) and modern WebGL implementations. Specializes in Butterchurn integration, Web Audio API AnalyserNode FFT data, GLSL shaders for audio-reactive visuals, and psychedelic generative art. Activate on "Milkdrop", "music visualization", "WebGL visualizer", "Butterchurn", "audio reactive", "FFT visualization", "spectrum analyzer". NOT for simple bar charts/waveforms (use basic canvas), video editing, or non-audio visuals.

日本語の概要は準備中です。原文の説明を表示しています。

curiositech/windags-skills132026年10月1日 更新

Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.

日本語の概要は準備中です。原文の説明を表示しています。

curiositech/windags-skills132026年10月1日 更新

Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).

日本語の概要は準備中です。原文の説明を表示しています。

curiositech/windags-skills132026年10月1日 更新

Apply crisis decision-making research to agent routing, uncertainty triage, and coordination failure analysis in time-pressured systems. Use when diagnosing handoff failures, analytical paralysis, or expert judgment under incomplete information. NOT for routine coding, simple CRUD design, or static single-agent tasks with complete information.

日本語の概要は準備中です。原文の説明を表示しています。

curiositech/windags-skills132026年10月1日 更新

Use for insight, reframing, contradiction, impasse, and anomaly-driven problem solving when execution effort no longer helps. NOT for routine optimization, error correction, or well-specified tasks with known solution paths.

日本語の概要は準備中です。原文の説明を表示しています。

curiositech/windags-skills132026年10月1日 更新

Apply normative BDI reasoning to agents that must detect norms, choose which commitments to internalize, and resolve conflicts by comparing consequences. Use when obligations, prohibitions, or policies collide in autonomous systems. NOT for simple fixed-priority rules, pure constraint satisfaction, or domains where no real normative conflict exists.

日本語の概要は準備中です。原文の説明を表示しています。

curiositech/windags-skills132026年10月1日 更新

curiositech のスキルをすべて見る

このスキルの問題を報告する