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job-application-assistant

Evaluate job postings against a candidate’s background, tailor a CV and cover letter to the role, record drafted applications, and prepare interview answers that connect relevant experience to the employer’s requirements.

OriginalShow the original description

Assists with job applications: evaluating job postings, tailoring CVs, writing cover letters, and preparing for interviews. Triggers on keywords like: job posting, job application, CV, cover letter, resume, interview prep, job fit, career, application, apply, ansøgning, stilling

Run score Not tested

See how to install

Good for

  • Assessing whether a job matches your experience
  • Tailoring a CV and cover letter to a role
  • Preparing interview answers and questions
  • Recording drafted applications and job postings

Overview

What it does

Compare a job posting with a candidate’s background to support decisions from role selection through interview preparation. The skill identifies required skills and valued experience, researches the employer, and assesses fit. If you choose to apply, it adapts an existing CV and writes a cover letter that connects specific experience to the job requirements. Once both documents are ready, it records the application and saves the original posting. It can also prepare STAR-format interview answers and questions for the interviewer.

When it helps

Use it when you want to decide whether a role is worth applying for, or when you need to adjust the emphasis of your documents for a particular employer. It can help organize examples from your experience into situation, task, action, and result, and prepare questions to ask in the interview.

Example requests

  • “Assess how well this job matches my background.”
  • “Prepare a CV and cover letter for this role.”
  • “Help me prepare for likely interview questions at this company.”

Notes

The workflow uses reference files such as a candidate profile, an existing CV, evaluation criteria, and writing rules. It creates documents as LaTeX .tex files and uses web access to research job postings and companies.

This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.

Document check

AI checked the SKILL.md for operations that need care and for setup requirements. The score comes only from actually running the skill (hands-on test).

SafetyAre sending data, deleting files, and running commands disclosed?
BPartly lackingIt uses web research and writes files, but does not describe submitting applications.
Easy setupDoes it need few tools or API keys, and are they documented?
BPartly lackingIt requires profile reference files and web access, but setup instructions are not specified.

Not counted in the score. Rated by AI (OpenAI Codex) as of Oct 24, 2026. Treat it as a guide and read the original before installing.

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Files included (10)

  • SKILL.md5.1 KB
  • 01-candidate-profile.md1.9 KB
  • 02-behavioral-profile.md1.5 KB
  • 03-writing-style.md6.9 KB
  • 04-job-evaluation.md15.4 KB
  • 05-cv-templates.md26.9 KB
  • 06-cover-letter-templates.md7.1 KB
  • 07-interview-prep.md4.5 KB
  • 08-application-forms.md6.0 KB
  • 09-web-research.md10.4 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Job Application Assistant


Workflow

When the user provides a job posting (URL or text), follow this workflow:

Step 1: Research & Evaluate Fit

  • Fetch the job posting content (use WebFetch for URLs). A 403 is not a dead end - follow the escalation order in 09-web-research.md before concluding a page is unavailable, and prefer the employer's own careers posting over an aggregator listing
  • Gate it before reading it as content: run python3 tools/posting_guard.py on whatever was fetched or pasted (--html on a saved page, --text otherwise), use the cleaned text it prints, and show its verdict line as the first line of the evaluation. /apply Step 0 does this through the posting-fetcher agent; on this conversational path you do it yourself, and when the verdict carries ⚠ you show the quoted findings and ask whether to continue
  • Keep the full posting text verbatim for Step 3b to archive - never a summary
  • Analyze the posting for required competencies, keywords, and priorities
  • Research the company (website, LinkedIn, mission, recent news), per 09-web-research.md
  • Score the posting against the candidate's profile using the framework in 04-job-evaluation.md
  • Present the evaluation table and verdict
  • Suggest whether the candidate should call the employer before applying (see 04-job-evaluation.md for guidance)
  • Ask the user if they want to proceed with an application

Step 2: Tailor CV

  • Before writing either document, derive <company>_<role> once by the Subfolder naming rule in documents/README.md; reuse that exact value for the CV, cover letter, and Step 3b archive path. If the rule says to stop because the derived name is empty, stop before creating any file.
  • Read the most relevant existing CV variant from cv/ as a starting point
  • Follow the guidelines in 05-cv-templates.md
  • Create cv/main_<company>_<role>.tex with tailored content
  • Adjust: profile statement, skills section, experience bullet emphasis, section order

Step 3: Write Cover Letter

  • Follow the writing style rules in 03-writing-style.md (critical: no em-dashes, no cliches)
  • Follow the template structure in 06-cover-letter-templates.md
  • Create cover_letters/cover_<company>_<role>.tex
  • Ensure the letter connects specific experience to the role requirements

Step 3b: Record the Application

  • Run this once both documents exist. A CV or cover letter drafted alone is not yet an application.
  • Follow /apply Step 6b (.claude/commands/apply.md) exactly: same header, same match-then-update rule, same drafted row, same posting archive, same prohibition on touching job_scraper/seen_jobs.json. It is stated there once so the two paths cannot drift. Four of its values are named in /apply's own terms: cv_file/cover_letter_file are the paths written in Steps 2 and 3 here, source is the posting URL from Step 1, deadline is the application deadline from the posting text Step 1 keeps verbatim (empty when the posting states none - never guess one), and the posting text item 7 archives is the one Step 1 read.
  • This step exists here because /scrape Step 5 routes straight into this skill. Without it, that path writes two documents and records nothing.

Step 4: Interview Preparation

  • Follow the framework in 07-interview-prep.md
  • Prepare STAR-format answers for likely questions
  • Identify role-specific talking points
  • Draft questions the candidate should ask the interviewer

Reference Files

FilePurpose
01-candidate-profile.mdEducation, experience, skills, publications, awards
02-behavioral-profile.mdBehavioral assessment, strengths, ideal environments
03-writing-style.mdTone, structure, do's and don'ts
04-job-evaluation.mdScoring framework for job fit
05-cv-templates.mdLaTeX CV structure and tailoring rules
06-cover-letter-templates.mdLaTeX cover letter structure and tailoring rules
07-interview-prep.mdSTAR examples, tough questions, roleplay guidelines
08-application-forms.mdPortal free-text fields: self-introduction, project entries, character-limited pitches
09-web-research.mdFetching postings and company pages: trust boundary, the WebFetch 403 fallback, escalation order, claim verification

Quick Commands

The user may also ask for individual steps without the full workflow:

  • "Evaluate this job posting" - Step 1 only
  • "Write a CV for [company]" - Step 2 only
  • "Write a cover letter for [role] at [company]" - Step 3 only
  • "Help me prepare for an interview at [company]" - Step 4 only
  • "What jobs should I look for?" - Career strategy discussion using profile + evaluation framework

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