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Interview prep

Skill kyoungbinkim/give-me-job/skills/interview-prep

Prepare Korean interview follow-up questions and evidence-backed answer points from resume.md, JD analysis, cover letter text, and an evidence map. Use after HR review or final cover letter drafting when the user wants 면접 준비, 꼬리질문, interview defense, or claim verification before manual submission.From its SKILL.md

Install
npx -y skills add kyoungbinkim/give-me-job --skill interview-prep

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 5 stars5 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.4 KB, 698 tokens by cl100k_base, as published. Nobody here has run it

Interview Prep

Use this skill to turn a cover letter package into interview preparation that the applicant can defend from resume.md evidence.

Trigger

Use this skill after cover-letter-draft.md or cover-letter-final.md exists and an evidence map is available.

Use it when the user asks for 면접 준비, 꼬리질문, 예상 질문, 답변 포인트, or interview defense based on a Korean application package.

Do Not Trigger

Do not use this skill before JD analysis and resume evidence exist.

Do not invent missing answers, metrics, tools, or company context. If a claim cannot be defended from resume.md, mark it as missing evidence.

Autonomy Level

DoF: LOW

Follow the input evidence. Generate questions and answer points only from the JD, cover letter, and resume.md. Do not add new achievements or unsupported explanation.

Permitted inferences:

  • Likely interviewer follow-up questions from a specific cover-letter claim.
  • Risk level from the strength of the mapped resume evidence.

Prohibited inferences:

  • Do not infer unlisted tools, metrics, responsibilities, awards, or business impact.
  • Do not turn weak evidence into a confident answer point.

Input Contract

Required context:

  • resume.md: structured career evidence.
  • applications/<company-role>/jd-analysis.md: role requirements and evaluation criteria.
  • applications/<company-role>/evidence-map.md: claim-to-evidence mapping.
  • applications/<company-role>/cover-letter-final.md or cover-letter-draft.md: answer text to defend.

Optional context:

  • applications/<company-role>/hr-review.md: blocker and warning context.
  • applications/<company-role>/company-values.md: optional company values context.

Required parameters:

  • company: target company name.
  • role: target role title.

Outputs produced:

  • applications/<company-role>/interview-prep.md

Workflow

  1. Read the cover letter and split it into core claims.
  2. Match each claim to evidence-map.md and resume.md.
  3. Generate 2-3 follow-up questions for each core claim.
  4. Add verification questions for metrics, tools, role scope, collaboration, failure handling, and JD fit when relevant.
  5. Write answer points using only supported evidence.
  6. Mark missing or thin evidence clearly.
  7. Add a short preparation checklist for manual review before interview.

Output

## Interview Prep
- Company:
- Role:
- Source Cover Letter:

## Claim Defense
| Claim | Resume Evidence | Follow-Up Questions | Answer Points | Evidence Risk |
| --- | --- | --- | --- | --- |

## Metric And Tool Verification
- Question:
- Evidence To Use:
- Risk:

## JD Fit Questions
- Question:
- Answer Points:
- Resume Evidence:

## Missing Evidence
- Claim:
- Needed Evidence:

## Preparation Checklist
- Review every quantified claim.
- Prepare one concrete example per key claim.
- Do not add facts that are absent from `resume.md`.

Fallback

If required inputs are missing, update workflow.md with Status: paused, list the missing files under Missing Inputs, and halt. In interactive mode, ask for the missing file or text. In non-interactive mode, do not continue.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most hr recruiting skills give in 698 tokens

Counted across 356 of the 357 authors here whose files we hold, read 2026-08-07

  • Quantify achievements with specific metricsin 14 of 356, across 6 files
  • Keep the resume under two pagesin 14 of 356, across 6 files
  • Request the full job description if not providedin 12 of 356, across 4 files
  • Extract keywords and prioritize job requirementsin 12 of 356, across 4 files
  • Stop and ask for clarification if required inputs are missingin 12 of 356, across 5 files
  • Map candidate experience to job requirementsin 11 of 356, across 3 files
  • Ask if the user wants adjustmentsin 11 of 356, across 3 files
  • Provide strengths and gap analysis after the resumein 10 of 356, across 2 files
  • Request candidate background details if not providedin 10 of 356, across 2 files
  • Format experience bullets as action verb plus resultin 10 of 356, across 2 files
  • Ask for missing inputs before startingin 10 of 356, across 9 files
  • Use exact job description terminologyin 9 of 356, across 1 file

Said here and by no other author read

  • Split cover letter into core claims
  • Generate 2-3 follow-up questions per core claim
  • Add verification questions for metrics, tools, and role scope
  • Write answer points using only supported evidence
  • Mark missing or thin evidence clearly
  • Add a preparation checklist for manual review

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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