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Agent skill

Interview Prep

by xujingchen1996 in xujingchen1996/research-app-toolkit

A skill your agent uses when the user asks to prepare for an interview, run a mock interview, practice interview questions, or get ready for a graduate application interview.

MITAuto-check passedBusiness, Finance & HR

Install Interview Prep

skills CLI
$ npx skills add xujingchen1996/research-app-toolkit --skill interview-prep -a claude-code

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

GitHub CLI
$ gh skill install xujingchen1996/research-app-toolkit interview-prep --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/xujingchen1996/research-app-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/codex/skills/interview-prep .claude/skills/interview-prep && 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-prep
GitHub stars
134
Token cost
~600 tokens
SKILL.md length
279 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the user asks to prepare for an interview, run a mock interview, practice interview questions, or get ready for a graduate application interview.

  • Works in 3 steps: Search the target professor and program → Generate a question set based on the… → If the user wants a mock interview
  • The user asks to prepare for an interview
  • SKILL.md covers Preconditions, Language Rules, Clarify the Interview Target… and Preparation Workflow, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Interview Prep is an agent skill from xujingchen1996/research-app-toolkit. Use when the user asks to prepare for an interview, run a mock interview, practice interview questions, or get ready for a graduate application interview. Generate question sets, simulate Q&A, and provide feedback around the target supervisor, program, and the user's own experience.

Its SKILL.md is about 600 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering Interview preparation. The repository describes itself as: Research Application Toolkit - Claude Code plugin for PhD, MRes, MPhil applications. The licence is MIT.

When your agent uses it

  • The user asks to prepare for an interview
  • Run a mock interview
  • Practice interview questions
  • Get ready for a graduate application interview

Example prompts

  • “/interview-prep”

Workflow steps

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

  1. Search the target professor and program
  2. Generate a question set based on the user's background, covering at least
  3. If the user wants a mock interview

What it can do on your machine

Read from SKILL.md and the folder at commit d84dbc0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    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 Prep loads about 600 tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 279 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~600

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 xujingchen1996/research-app-toolkit at commit d84dbc0, republished under its MIT licence (© xujingchen1996). 279 words, ~600 tokens.

Download SKILL.mdSave it as .claude/skills/interview-prep/SKILL.md (or your agent's skills folder).
name
interview-prep
description
Use when the user asks to prepare for an interview, run a mock interview, practice interview questions, or get ready for a graduate application interview. Generate question sets, simulate Q&A, and provide feedback around the target supervisor, program, and the user's own experience.

Interview Preparation

Preconditions

  • Read ../../memory.md first.
  • If the application profile is missing, first suggest that the user run cv-analyze, because question design depends on the user's experience.

Language Rules

  • Support three output modes: zh, en, and bilingual.
  • If the user explicitly specifies the interview language, prioritize the current request.
  • Otherwise read preferred_language from memory.md.
  • If it is still unclear, prioritize preparing in the interview language most likely used by the target program or professor.
  • If the user requests bilingual output, default to outputting questions in the target interview language and supplementing them with Chinese or English answering tips, rather than bilingually repeating the entire question set.

Clarify the Interview Target First

If any of the following is missing, ask follow-up questions:

  • professor name
  • school / program
  • interview language
  • whether they would rather practice a full mock interview or only want a question bank and reference answers

Preparation Workflow

  1. Search the target professor and program:
    • professor homepage and recent work
    • interview format of the program or public experience reports
  2. Generate a question set based on the user's background, covering at least:
    • research background
    • technical deep-dive
    • motivation and long-term goals
    • behavioral questions
    • project deep-dive
  3. If the user wants a mock interview:
    • give only one question at a time
    • wait for the user's answer before commenting

Output Requirements

  • If the user only wants a question bank:
    • provide categorized questions
    • provide answering advice for each category
  • If the user wants a simulation:
    • proceed one question at a time
    • each round of feedback should include strengths, problems, and optimization direction

Constraints

  • For professor research and program process, prioritize current public information.
  • Do not treat uncertain student experiences found online as official rules.

© xujingchen1996, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in codex/skills/interview-prep of xujingchen1996/research-app-toolkit.

Open the folder on GitHubat commit d84dbc0

Compare with similar skills

Interview Prep 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 Prep compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Interview Prep this skillxujingchen1996/research-app-toolkit134—~600Automated 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
Interview Coachnoamseg/interview-coach-skill2.3k—~3.7kAutomated safety check: PassMIT
Algo Senseikaranb192/algo-sensei284—~1.7kAutomated safety check: PassMIT

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    74k GitHub stars~3.3k tokensUpdated today
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  • Internship Project Preparation Tool

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    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
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More from xujingchen1996/research-app-toolkit

All 9 skills in this repo

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    A skill your agent uses when the user asks to write a cold email, draft an outreach email, follow up with a professor, or prepare other supervisor-facing application emails.

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  • Cv Analyze

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  • Cv Polish

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    134 GitHub stars~710 tokensUpdated 2 mo ago
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  • Document Assist

    xujingchen1996/research-app-toolkit

    A skill your agent uses when the user asks to draft or revise an SOP, personal statement, motivation letter, research proposal, recommendation-letter draft, or similar application document.

    134 GitHub stars~821 tokensUpdated 2 mo ago
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  • Gap Analysis

    xujingchen1996/research-app-toolkit

    A skill your agent uses when the user asks to analyze research gaps, find research gaps, generate research ideas, or analyze papers for gaps.

    134 GitHub stars~932 tokensUpdated 2 mo ago
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  • Interview Ppt

    xujingchen1996/research-app-toolkit

    A skill your agent uses when the user asks to prepare a PhD interview deck, professor meeting slides, research presentation PPT, slide-by-slide speaking notes, or interview visuals.

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Categories

Questions about Interview Prep

What does Interview Prep do?

A skill your agent uses when the user asks to prepare for an interview, run a mock interview, practice interview questions, or get ready for a graduate application interview. Interview Prep is an agent skill from xujingchen1996/research-app-toolkit. Use when the user asks to prepare for an interview, run a mock interview, practice interview questions, or get ready for a graduate application interview.

When should I use Interview Prep?

Interview Prep fits situations like: the user asks to prepare for an interview; run a mock interview; practice interview questions; get ready for a graduate application interview.

How do I install Interview Prep in Claude Code?

Run `npx skills add xujingchen1996/research-app-toolkit --skill interview-prep -a claude-code`. Or copy the skill folder (codex/skills/interview-prep in xujingchen1996/research-app-toolkit) into .claude/skills/interview-prep in your project. Claude Code loads it when a task matches its description.

How do I install Interview Prep in Codex?

Run `npx skills add xujingchen1996/research-app-toolkit --skill interview-prep -a codex`. Or copy the skill folder (codex/skills/interview-prep in xujingchen1996/research-app-toolkit) into .agents/skills/interview-prep in your project. Codex loads it when a task matches its description.

Can I use Interview Prep 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 xujingchen1996/research-app-toolkit --skill interview-prep -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-prep, .gemini/skills/interview-prep, .github/skills/interview-prep and .opencode/skills/interview-prep in your project.

What does Interview Prep need to run?

SKILL.md names no scripts, command-line tools or credentials: Interview Prep is instructions for the agent only.

Does Interview Prep 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 Prep 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 Prep use?

Interview Prep 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 Prep use?

About 600 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Interview Prep?

Skills that share tags, products or a category with Interview Prep: 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 Interview Coach (noamseg/interview-coach-skill, 2.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Interview Prep?

xujingchen1996 (a GitHub user) maintains it in xujingchen1996/research-app-toolkit, which has 134 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on July 18, 2026.

Source: xujingchen1996/research-app-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.