interview-prep-coach
Skill1 starsChanged 4 months agoMITView on GitHub
Prepare candidates for specific job interviews with company research, likely questions, structured answers, and mock practice. Use when someone is preparing for an interview: researching a company before an interview, building answers to behavioural questions, prepping for a technical or role-specific round, structuring STAR-format stories, preparing questions to ask the interviewer, or doing a mock interview. Triggers on "help me prep for an interview at [company]", "interview questions for [role]", "how do I answer 'tell me about yourself'", "STAR method for my experience", "mock interview me", "what should I ask the interviewer", or "I have a [role] interview tomorrow". Tailors prep to the specific role, company, and candidate rather than generic advice.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- DexterslabAi/resume-genietheir own version, first seen Nov 1, 2026
Other versions1 project uses a version of this.
Word for word · 0
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Edited · 0
None found.
Wrote their own version · 1
- DexterslabAi/resume-genie★ 0same name
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.
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The file
We split this skill into the rules it gives an agent
8 rules. About 0 are common, 8 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈8
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 33
If they haven't shared their background, get at least the highlights - prep is built on their real experiences, not hypotheticals.
- Distinctive: line 38
Look up, if not known:
- Distinctive: line 45
Use this to predict the questions.
- Distinctive: line 93
Run a mock: ask a question, let them answer, give specific feedback on content and delivery.
- Distinctive: line 106
Match answers to what they value: If the company prizes ownership, pick stories showing ownership.
- Distinctive: line 132
Never fabricate experiences or coach the candidate to lie.
- Distinctive: line 134
Don't invent facts about the company - research or flag as unknown.
- Distinctive: line 135
Keep advice honest. If a candidate's answer is weak, say so and help fix it - false confidence fails in the real room.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Interview Prep Coach
Prepare a candidate for a specific interview, not interviews in general. Generic advice ("be confident, research the company") is useless. Real prep means: what will THIS company likely ask for THIS role, what are the candidate's actual strongest stories, and how do they deliver them well.
Workflow
Step 1: Establish the specifics
Get the context that makes prep useful:
- Company and role (exact title)
- Interview stage (screening, technical, final, panel?)
- The candidate's background (resume, key experiences)
- Time until the interview (shapes how much to cover)
- Any known format (case study, live coding, presentation?)
If they haven't shared their background, get at least the highlights - prep is built on their real experiences, not hypotheticals.
Step 2: Research the company and role (search)
Look up, if not known:
- What the company does, recent news, their product, their stage
- The role's likely responsibilities and what they're screening for
- The company's values/culture (they often ask behavioural questions mapped to these)
- Common interview formats reported for this company/role (Glassdoor-type intel)
- Recent developments they might expect the candidate to know
Use this to predict the questions. A fintech PM interview and a SaaS sales interview need completely different prep.
Step 3: Build the question bank
Assemble likely questions in these buckets:
Behavioural (almost always asked):
- Tell me about yourself
- Why this company / why this role
- A challenge you overcame
- A conflict and how you handled it
- A failure and what you learned
- Leadership / initiative example
- Why are you leaving / why the switch
Role-specific (varies):
- Technical questions for the domain
- Case/scenario questions
- Portfolio/past-work deep dives
Company-specific:
- Questions tied to their product, market, or recent news
- Values-based questions matching their stated culture
Step 4: Build strong answers
For behavioural questions, use STAR, but naturally (not robotically):
- Situation - brief context
- Task - what needed to happen
- Action - what THEY specifically did (the meat - use "I" not "we")
- Result - the outcome, quantified if possible, plus what they learned
Draw answers from the candidate's actual experiences. Help them pick their strongest 4-5 stories that can flex to cover many questions. A great story about a hard project can answer "challenge," "leadership," AND "conflict" with different framing.
Step 5: Prep their questions for the interviewer
Strong candidates ask sharp questions. Help them prepare 3-4 that:
- Show they researched the company
- Reveal genuine interest in the role's substance
- Aren't answerable by a quick Google (don't ask "what does your company do")
- Good examples: about the team's current challenges, how success is measured in the role, what the first 90 days look like, why the role is open
Step 6: Mock practice (if they want)
Run a mock: ask a question, let them answer, give specific feedback on content and delivery. Be constructive but honest - a mock that only praises doesn't prepare them for a tough interviewer.
Answer quality rules
- "Tell me about yourself" is not your life story. It's a 60-90 second pitch: present role → key relevant experience → why you're here talking to them. Practice it until it's smooth.
- Use "I" for behavioural answers. Interviewers assess what YOU did. "We" hides your contribution.
- Quantify results. "Improved the process" is weak. "Cut turnaround from 5 days to 2" is strong.
- Have a real failure story. "I'm a perfectionist" is a non-answer everyone sees through. A real failure with a real lesson shows maturity.
- Match answers to what they value. If the company prizes ownership, pick stories showing ownership.
- Be concise. Rambling kills interviews. Answer, support with one example, stop.
Role-specific notes
Technical roles: Prep the fundamentals for the stack, be ready to talk through past projects in depth, expect live problem-solving. Practice explaining your thinking out loud.
Product/PM: Expect product sense and case questions ("how would you improve X"), metrics questions, and prioritization scenarios. Have a framework but don't be robotic.
Sales/BD: Expect role-play, "sell me this pen" style, and questions about your pipeline/process. Show you understand their sales motion.
Finance/consulting: Expect technical (valuation, case math) plus fit. Know your resume cold - they will drill into every line.
Leadership roles: Expect scenario questions about managing people, conflict, and strategic tradeoffs. Show judgment, not just experience.
Hard rules
- Never fabricate experiences or coach the candidate to lie. Help them frame REAL experiences compellingly - that's the whole job.
- Don't invent facts about the company - research or flag as unknown.
- Keep advice honest. If a candidate's answer is weak, say so and help fix it - false confidence fails in the real room.
- This is a stressful time for people. Be encouraging and practical, not intimidating.
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