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Job Application Optimizer

onewave-ai/claude-skills
345 installs168 stars
Summary

Helps you tailor resumes and cover letters to specific job postings by analyzing requirements, identifying missing keywords, and rewriting bullets to match what companies are looking for. It extracts must-have versus nice-to-have skills, generates before/after comparisons with concrete suggestions, and produces ATS-optimized versions with all the right buzzwords. Also creates role-specific interview prep and does skills gap analysis. The formatting is thorough, maybe overly detailed with all the dividers and emoji, but the core value is real: it systematically maps your experience to job descriptions so you're not guessing what to emphasize. Most useful when you're applying to roles that are close but not perfect matches for your background.

Install to Claude Code

npx -y skills add onewave-ai/claude-skills --skill job-application-optimizer --agent claude-code

Installs into .claude/skills of the current project.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Files
SKILL.mdView on GitHub

Job Application Optimizer

Tailor job application materials and prepare for interviews with AI-powered optimization.

Contents

  • references/resume-optimization.md - Full resume optimization report template and ATS checklist
  • references/cover-letter.md - Cover letter template and breakdown
  • references/interview-prep.md - Interview preparation guide template

Workflow

  1. Identify the task type: resume tailoring, cover letter generation, interview preparation, skills gap analysis, or application strategy.

  2. Gather inputs from the user: current resume, target job posting, optional LinkedIn profile, career goals, and any constraints.

  3. Analyze the job posting. Extract:

    • Required skills, preferred skills, years of experience, technical and soft skills, education, certifications, and tools.
    • Keywords: industry terms, technical jargon, action verbs, company values, role-specific language, and ATS keywords.
    • Culture signals: work style, values, environment (startup/enterprise/remote), leadership style, and team dynamics.
  4. Score the candidate against requirements. Mark each requirement as met, partial, or a gap. List keywords missing from the resume.

  5. Produce the requested deliverable using the matching template:

    • Resume optimization: rewrite summary, experience bullets, and skills section; quantify achievements; address gaps; run the ATS checklist. See references/resume-optimization.md.
    • Cover letter: open with hook and position, match 2-3 key requirements with metrics, show company research, close with a call to action. See references/cover-letter.md.
    • Interview prep: generate likely technical and behavioral questions, deep-dive topics, questions to ask, and a pre-interview checklist. See references/interview-prep.md.
  6. Verify output quality before delivering. Confirm it matches requirements closely, uses exact keywords naturally, quantifies achievements, shows cultural fit, stays ATS-friendly, tells compelling stories, and is error-free.

Example Triggers

  • "Optimize my resume for this job posting"
  • "Write a cover letter for this position"
  • "Prepare interview questions for this role"
  • "Analyze this job description"
  • "What skills am I missing for this job?"
  • "Tailor my resume to match these requirements"

Best Practices

  • Resume: use exact keywords from the posting, quantify achievements, lead with relevant experience, keep to 1-2 pages, format for ATS, match language and tone.
  • Cover letter: personalize to company and role, show genuine research, match 2-3 requirements with metrics, keep to 3-4 paragraphs, open and close strong.
  • Interview prep: prepare STAR stories, practice out loud, research the company thoroughly, prepare thoughtful questions, review technical concepts.
Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
First SeenJun 3, 2026
View on GitHub

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