Job application assistant

Skill asong56/skills/07-share/job-application-assistant

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, stillingFrom its SKILL.md

Install

npx -y skills add asong56/skills --skill job-application-assistant

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

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SKILL.md

2.9 KB, 583 tokens by cl100k_base, as published. Nobody here has run it

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)
Analyze the posting for required competencies, keywords, and priorities
Research the company (website, LinkedIn, mission, recent news)
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

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>.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 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

File	Purpose
`01-candidate-profile.md`	Education, experience, skills, publications, awards
`02-behavioral-profile.md`	Behavioral assessment, strengths, ideal environments
`03-writing-style.md`	Tone, structure, do's and don'ts
`04-job-evaluation.md`	Scoring framework for job fit
`05-cv-templates.md`	LaTeX CV structure and tailoring rules
`06-cover-letter-templates.md`	LaTeX cover letter structure and tailoring rules
`07-interview-prep.md`	STAR examples, tough questions, roleplay guidelines

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

What ships with it: 7 files

39.3 KB alongside SKILL.md

Gives 0 of the 12 instructions most hr recruiting skills give in 583 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

analyze the posting for required competencies
research the company background
score the posting against candidate profile
ask the user to proceed with an application
read the most relevant existing cv variant
tailor the cv content for the role

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.