New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Interview Loop Strategist

by curiositech in curiositech/some_claude_skills

Orchestrates end-to-end interview preparation for senior ML/AI engineers targeting Anthropic and peer companies.

MITAuto-check passedBusiness, Finance & HR

Install Interview Loop Strategist

skills CLI
$ npx skills add curiositech/some_claude_skills --skill interview-loop-strategist -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install curiositech/some_claude_skills interview-loop-strategist --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/curiositech/some_claude_skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/interview-loop-strategist .claude/skills/interview-loop-strategist && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
interview-loop-strategist
GitHub stars
243
Token cost
~3.2k tokens
SKILL.md length
1,233 words
Files
5 (incl. references)
Skills in repo
109
Repo updated
First seen
Licence
MIT

At a glance

Orchestrates end-to-end interview preparation for senior ML/AI engineers targeting Anthropic and peer companies.

  • Works in 2 steps: List top 5 projects from… → For each project, write 3 versions
  • Prep timeline generation
  • SKILL.md covers When to Use, Full Interview Pipeline, Skill Routing Table and Prep Timeline Selection, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Interview Loop Strategist is an agent skill from curiositech/some_claude_skills. 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.

Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `.claude-plugin/plugin.json`, `references/company-specific-loops.md` and `references/mock-interview-rubrics.md`).

It sits in Business, Finance & HR, covering Interview preparation and Resume and CV writing. The repository describes itself as: Claude skills that make my life easier. The licence is MIT.

When your agent uses it

  • Prep timeline generation
  • Story coherence across rounds
  • Mock scheduling
  • Debrief analysis

Example prompts

  • “interview prep”
  • “interview loop”
  • “Anthropic interview”
  • “/interview-loop-strategist”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Edit

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. List top 5 projects from career-biographer output (or direct input)
  2. For each project, write 3 versions

What it can do on your machine

Read from SKILL.md and the folder at commit 6713fc7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are mermaid).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Interview Loop Strategist loads about 3.2k tokens when it runs, and up to ~15k if it reads all its reference files. Until then it costs about 102 tokens; SKILL.md has 1,233 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
When it runs · the whole SKILL.md, loaded when a task matches
~3.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~15k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from curiositech/some_claude_skills at commit 6713fc7, republished under its MIT licence (© curiositech). 1,233 words, ~3,230 tokens.

Download SKILL.mdSave it as .claude/skills/interview-loop-strategist/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
interview-loop-strategist
description
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.
allowed-tools
Read, Write, Edit
metadata.gated
true
metadata.category
Career & Interview
metadata.tags
interview, preparation, strategy, anthropic

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

mermaid
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:

mermaid
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
Show full SKILL.md (499 more words)Show less
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)

© curiositech, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references) in .claude/skills/interview-loop-strategist of curiositech/some_claude_skills.

  • SKILL.md
  • .claude-plugin/plugin.json
  • references/company-specific-loops.md
  • references/mock-interview-rubrics.md
  • references/preparation-timeline-templates.md

Open the folder on GitHubat commit 6713fc7

Compare with similar skills

Interview Loop Strategist next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Interview Loop Strategist compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Interview Loop Strategist this skillcuriositech/some_claude_skills243—~3.2kAutomated safety check: PassMIT
Career-Ops Job Search Centercareer-ops-hq/career-ops74k—~3.3kAutomated safety check: PassMIT
Internship Project Preparation ToolLiuMengxuan04/shushu-internship-tool2.1k—~2.3kAutomated safety check: PassCustom licence
Job Application AssistantMadsLorentzen/ai-job-search45k1 repos~1.2kAutomated safety check: NotesMIT
Backend and Agent Project Selectorlishuangqiang/backend-agent-resume-scout347—~1.4kAutomated safety check: PassApache-2.0
LLM Intern Skillwanyichen06/LLMInternSkill324—~1.2kAutomated safety check: PassMIT

Similar skills

  • Career-Ops Job Search Center

    career-ops-hq/career-ops

    Routes job-search requests to modes for evaluating offers, scanning portals, generating tailored CVs, tracking applications and drafting outreach, starting from a pasted job URL or description.

    74k GitHub stars~3.3k tokensUpdated today
    Business, Finance & HRAuto-check passed

  • Internship Project Preparation Tool

    LiuMengxuan04/shushu-internship-tool

    Turns a target internship job description into a resume-ready, interview-ready project by finding and auditing GitHub projects and drafting resume bullets and interview Q&A.

    2.1k GitHub stars~2.3k tokensUpdated 3 mo ago
    Business, Finance & HRAuto-check passed

  • Job Application Assistant

    MadsLorentzen/ai-job-search

    Evaluates job postings against your profile, then tailors a LaTeX CV and cover letter and prepares interview answers for the roles you pursue.

    45k GitHub starsUsed in 1 repo~1.2k tokens
    Business, Finance & HRAuto-check: notes

  • Backend and Agent Project Selector

    lishuangqiang/backend-agent-resume-scout

    Finds backend or AI agent projects on GitHub that are worth putting on a resume, checks them against local source and writes a Markdown resume package.

    347 GitHub stars~1.4k tokensUpdated 3 mo ago
    Business, Finance & HRAuto-check passed

  • LLM Intern Skill

    wanyichen06/LLMInternSkill

    A skill your agent uses when polishing, diagnosing, tailoring, or exporting resumes for LLM, RAG, Agent, Agentic RL, post-training, pretraining, AIGC, search/ranking, multimodal, AI backend, or LLM…

    324 GitHub stars~1.2k tokensUpdated 2 mo ago
    Business, Finance & HRAuto-check passed

  • Internship-to-Resume Toolkit

    Sunanzhe2004/shushu-internship-resume-optimizer

    Turns internship code repos, project summaries and business documents into resume-ready bullets, JD-matched rankings, and interview-ready STAR material.

    123 GitHub stars~1.6k tokensUpdated 2 mo ago
    Business, Finance & HRAuto-check passed

More from curiositech/some_claude_skills

All 109 skills in this repo

  • Crisis Detection Intervention AI

    curiositech/some_claude_skills

    Detect crisis signals in user content using NLP, mental health sentiment analysis, and safe intervention protocols.

    243 GitHub starsUsed in 3 repos~3.8k tokens
    Auto-check passed

  • Form Validation Architect

    curiositech/some_claude_skills

    End-to-end form handling with react-hook-form, Zod schemas, validation patterns, error messaging, field arrays, and multi-step wizards.

    243 GitHub stars~3.8k tokensUpdated 1 mo ago
    Auto-check passed

  • Competitive Cartographer

    curiositech/some_claude_skills

    Strategic analyst that maps competitive landscapes, identifies white space opportunities, and provides positioning recommendations.

    243 GitHub starsUsed in 1 repo~1.3k tokens
    Auto-check passed

  • GitHub Actions Pipeline Builder

    curiositech/some_claude_skills

    Build production CI/CD pipelines with GitHub Actions. An agent skill from curiositech/some_claude_skills.

    243 GitHub stars~2.8k tokensUpdated 1 mo ago
    Auto-check: notes

  • Computer Vision Pipeline

    curiositech/some_claude_skills

    Build production computer vision pipelines for object detection, tracking, and video analysis.

    243 GitHub starsUsed in 1 repo~4k tokens
    Auto-check passed

  • Design Archivist

    curiositech/some_claude_skills

    Long-running design anthropologist that builds comprehensive visual databases from 500-1000 real-world examples, extracting color palettes, typography patterns, layout systems, and interaction…

    243 GitHub starsUsed in 1 repo~1.6k tokens
    Auto-check passed

Categories

Questions about Interview Loop Strategist

What does Interview Loop Strategist do?

Orchestrates end-to-end interview preparation for senior ML/AI engineers targeting Anthropic and peer companies. Interview Loop Strategist is an agent skill from curiositech/some_claude_skills. Orchestrates end-to-end interview preparation for senior ML/AI engineers targeting Anthropic and peer companies.

When should I use Interview Loop Strategist?

Interview Loop Strategist fits situations like: prep timeline generation; story coherence across rounds; mock scheduling; debrief analysis.

How do I install Interview Loop Strategist in Claude Code?

Run `npx skills add curiositech/some_claude_skills --skill interview-loop-strategist -a claude-code`. Or copy the skill folder (.claude/skills/interview-loop-strategist in curiositech/some_claude_skills) into .claude/skills/interview-loop-strategist in your project. Claude Code loads it when a task matches its description.

How do I install Interview Loop Strategist in Codex?

Run `npx skills add curiositech/some_claude_skills --skill interview-loop-strategist -a codex`. Or copy the skill folder (.claude/skills/interview-loop-strategist in curiositech/some_claude_skills) into .agents/skills/interview-loop-strategist in your project. Codex loads it when a task matches its description.

Can I use Interview Loop Strategist in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add curiositech/some_claude_skills --skill interview-loop-strategist -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/interview-loop-strategist, .gemini/skills/interview-loop-strategist, .github/skills/interview-loop-strategist and .opencode/skills/interview-loop-strategist in your project.

What does Interview Loop Strategist need to run?

SKILL.md names no scripts, command-line tools or credentials: Interview Loop Strategist is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit.

Does Interview Loop Strategist access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Interview Loop Strategist safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Interview Loop Strategist use?

Interview Loop Strategist is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Interview Loop Strategist use?

About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 12k tokens, read only when the agent opens those files.

What are the alternatives to Interview Loop Strategist?

Skills that share tags, products or a category with Interview Loop Strategist: Career-Ops Job Search Center (career-ops-hq/career-ops, 74k stars), Internship Project Preparation Tool (LiuMengxuan04/shushu-internship-tool, 2.1k stars), Job Application Assistant (MadsLorentzen/ai-job-search, 45k stars) and Backend and Agent Project Selector (lishuangqiang/backend-agent-resume-scout, 347 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Interview Loop Strategist?

curiositech (a GitHub organization) maintains it in curiositech/some_claude_skills, which has 243 GitHub stars. The repository holds 109 skills in this directory. The repository was last updated on September 6, 2026.

Source: curiositech/some_claude_skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.