interview-prep
Skill0 starsChanged 22 days agoMITView on GitHub
Run a mock job interview with ATSPrep's question bank - pick likely questions from the job post and resume, ask them one at a time, and give STAR-based feedback with a stronger version of each answer. Use when someone has an interview coming up, wants likely interview questions, wants to practise answers, or asks to improve a specific answer.
56 other projects use a version of this.
Adopted by
Most recently taken up by
- fancyboi999/ai-engineering-from-scratch-zhtheir own version, first seen Nov 8, 2026
- rohitg00/ai-engineering-from-scratchtheir own version, first seen Nov 8, 2026
- nisarth/claude-skills-storetheir own version, first seen Nov 8, 2026
- eggs-gd/career-spacetheir own version, first seen Nov 8, 2026
- Gianni03/jobtracker-skillstheir own version, first seen Nov 8, 2026
- surfmind-space/awesome-surfmindtheir own version, first seen Nov 8, 2026
Used with
Projects with it also use application-tracker, interview-debrief and 9 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
xiding-codeSkillapplication-tracker
Automatically log and track all job applications submitted. Use this skill after every application submission to record the details in a tracking spreadsheet and save relevant documents. Also trigger when the user asks "application status", "what have I applied to", "tracking", or wants to review their application history. Maintains a single source of truth for all job search activity.
Also in 4 projects that use this
jackhendonSkillinterview-debrief
Structure notes from a user research session into a clean debrief with insights, quotes, and implications. Paste your raw notes in and get a formatted summary ready for Notion.
Also in 3 projects that use this
proficientlyjobsSkilljob-search
Search for jobs matching my resume and preferences
Also in 9 projects that use this
xiding-codeSkillcover-letter-writer
Write and iteratively refine cover letters using a 3-agent debate team (2 Opus critics + 1 Sonnet judge). Use this skill whenever a job application allows cover letter upload, whenever the user asks to write or improve a cover letter, or whenever the job-screener skill returns APPLY for a position. The must-write rule (if enabled in config) applies: if the application system has a cover letter upload field, a cover letter MUST be written. Trigger on: "write cover letter", "cover letter", any application form with a cover letter upload option, or after a job-screener APPLY decision.
Also in 3 projects that use this
claude-office-skillsSkillcompany-research
Conduct comprehensive company research and due diligence. Analyze business model, competitive landscape, management, and market position.
Also in 5 projects that use this
aslavchevSkillmock-interview
Simulate a real job interview for any role. Use when user says "mock interview", "interview me", "interview prep", "practice interview", or wants to rehearse for a specific company or position. Adapts rounds and questions to the role — technical, managerial, creative, or any other.
Also in 4 projects that use this
Other versions56 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 56
- rohitg00/ai-engineering-from-scratch★ 78ksame name
- anthropics/knowledge-work-plugins★ 35ksame name
- tinyfish-io/tinyfish-cookbook★ 2.3ksame name
- ShenSeanChen/waku-agent★ 2ksame name
- fancyboi999/ai-engineering-from-scratch-zh★ 1.3ksame name
- jerry-ai-dev/MODULAR-RAG-MCP-SERVER★ 1.2ksame name
- lan1177/interview-prep★ 92same name
- matyasstoch/david-skills★ 59same name
- muggl3mind/career-manager★ 24same name
- jaskirat1616/grok-skills★ 22same name
46 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository4 other files it gives its agents.
- cover-letterSkill
- linkedin-profile-polishSkill
- resume-ats-checkSkill
- tailor-resume-to-jobSkill
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 3 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 48 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 18
Use whichever is available, in this order:
- Very specific: line 20
ATSPrep MCP tools: If the ATSPrep MCP server (https://atsprep.com/mcp) is connected, call its tools by name.
- Very specific: line 32
Ask for the job title and, ideally, the job post (for a link, use fetch_job_post) and their resume.
- Very specific: line 33
Call interview_questions with what you have (job_description, resume_text) and limit around 8.
- Distinctive: line 41
Keep feedback short and specific.
- Distinctive: line 42
Never tell the user to claim experience they don't have.
“Common” is measured: kept by at least 6 in 10 of the 48 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Interview prep
A mock interview, one question at a time. ATSPrep's web version, with spoken practice, is at https://atsprep.com/tools/interview-questions.
How to call ATSPrep
Use whichever is available, in this order:
- ATSPrep MCP tools. If the ATSPrep MCP server (
https://atsprep.com/mcp) is connected, call its tools by name. Some clients add a prefix, e.g.mcp__atsprep__check_resume. - The bundled script (needs Node 18+ and network access):
node scripts/atsprep.mjs <tool> key=value key=@path/to/file.txtkey=@filesends a file's text, which is the safe way to pass a resume or job post. Write the user's text to a file in the current working directory first, and delete it when you're done.node scripts/atsprep.mjs listlists the tools. - Plain HTTPS (no Node): POST JSON-RPC to
https://atsprep.com/mcpwith headersContent-Type: application/jsonandAccept: application/json, text/event-stream, and the body{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"<tool>","arguments":{...}}}.
Arguments and limits for every tool are in references/tools.md. What leaves the machine is in references/privacy.md. Tell the user before sending their text to an AI tool the first time.
Steps
- Ask for the job title and, ideally, the job post (for a link, use
fetch_job_post) and their resume. - Call
interview_questionswith what you have (job_description,resume_text) andlimitaround 8. With neither, it returns common questions; tailor them to the job title yourself. Usekind(posting, resume, about, behavioural, role or closing) to focus on one group if the user asks. - Share the STAR tips the tool returns in a few lines, then ask one question and wait for the answer. Don't list every question unless asked.
- Call
review_interview_answer(AI) withquestion,answerandkind: story for "tell me about a time", pitch for "tell me about yourself", plan for "how would you...", number for salary, close for "any questions for us?". Share what worked, what was missing (situation, task, action, result) and the stronger version. If the AI part was skipped, the rule-based feedback still applies. - Let them retry or move on. At the end, sum up their two or three biggest patterns.
Coaching rules
- The stronger answer may only use facts from the user's own answer. If a result needs a number, ask what it was.
- Keep feedback short and specific. One fix per answer beats ten.
- Never tell the user to claim experience they don't have.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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