Resume Manager
Maintain a structured JSON-backed resume and tailor experience bullets for job applications or founder bios without rewriting from scratch each time.
Overview
Resume Manager is an agent skill most often used in Grow (also Validate and Launch) that keeps your resume in structured JSON so agents can tailor highlights and experience for each opportunity.
Install
npx skills add https://github.com/ailabs-393/ai-labs-claude-skills --skill resume-managerWhat is this skill?
- Structured personal_info block (contact, links, professional summary)
- Experience entries with position, dates, highlights, and technologies arrays
- Repeatable highlight bullets suitable for agent rewrite per target role
- JSON schema you can version in git alongside portfolio updates
Adoption & trust: 813 installs on skills.sh; 399 GitHub stars; 2/3 security scanners passed (skills.sh audits).
What problem does it solve?
You have shipped projects but your resume lives in scattered drafts and every application means manual copy-paste and inconsistent bullets.
Who is it for?
Solo builders maintaining one résumé dataset and asking the agent to rewrite highlights per job or pitch.
Skip if: Teams needing branded PDF layout engines, ATS parsing guarantees, or legal HR compliance workflows without human review.
When should I use this skill?
You need to create, update, or tailor a structured resume or CV dataset before applications or public bios.
What do I get? / Deliverables
You get an updated, role-targeted resume narrative from one JSON source of truth ready to paste into ATS forms, PDFs, or profile pages.
- Updated resume JSON with personal_info and experiences
- Role-targeted highlight bullets per position
Recommended Skills
Journey fit
Spans multiple journey phases - primary shelf plus alternate fits below.
Canonical shelf on Grow because resume and positioning work compounds when you publish, apply, and iterate on how you present shipped work. Content subphase fits curated personal narrative artifacts (summary, highlights, roles) that feed LinkedIn, sites, and outreach.
Where it fits
Trim experience bullets to match a narrow MVP pitch before you commit to a full rebuild.
Sync founder bio and press-kit lines with the same highlights used on your résumé JSON.
Add a new contract or product line to experiences after a launch milestone.
How it compares
Structured resume data skill—not a LinkedIn scraper or automated job-application bot.
Common Questions / FAQ
Who is resume-manager for?
Indie developers and founders who want a git-friendly resume JSON and agent help tailoring bullets for roles, clients, or launch bios.
When should I use resume-manager?
Use it in Grow when refreshing your story after shipping features, in Validate when scoping how you present a new product idea on paper, and in Launch when aligning site copy with your experience blocks.
Is resume-manager safe to install?
It is primarily a local JSON template pattern; review the Security Audits panel on this page and avoid putting secrets in resume files you commit to git.
SKILL.md
READMESKILL.md - Resume Manager
{ "personal_info": { "name": "John Doe", "email": "john.doe@email.com", "phone": "+1 (555) 123-4567", "location": "San Francisco, CA", "linkedin": "linkedin.com/in/johndoe", "github": "github.com/johndoe", "website": "johndoe.com", "summary": "Experienced software engineer with 5+ years of full-stack development expertise. Passionate about building scalable applications and leading high-performing teams." }, "experiences": [ { "position": "Senior Software Engineer", "company": "Tech Corp", "location": "San Francisco, CA", "start_date": "Jan 2022", "end_date": "Present", "description": "Lead development of cloud-based microservices", "highlights": [ "Architected and deployed microservices handling 10M+ requests daily with 99.9% uptime", "Led team of 5 engineers, improving sprint velocity by 40% through agile best practices", "Reduced API response time by 60% through optimization and caching strategies", "Mentored junior developers and conducted code reviews to maintain code quality" ], "technologies": ["Python", "Django", "PostgreSQL", "AWS", "Docker", "Kubernetes"] }, { "position": "Software Engineer", "company": "StartupXYZ", "location": "Palo Alto, CA", "start_date": "Jun 2019", "end_date": "Dec 2021", "description": "Full-stack development for SaaS platform", "highlights": [ "Developed RESTful APIs serving 50K+ active users with React frontend", "Implemented CI/CD pipeline reducing deployment time from 2 hours to 15 minutes", "Built automated testing suite achieving 85% code coverage", "Collaborated with product team to deliver features on tight deadlines" ], "technologies": ["React", "Node.js", "MongoDB", "Redis", "Jenkins", "Git"] } ], "projects": [ { "name": "Open Source Project Manager", "date": "2023", "description": "Web application for managing open source contributions and tracking project metrics", "highlights": [ "Built using React, TypeScript, and GraphQL with 1K+ GitHub stars", "Implemented real-time collaboration features using WebSockets", "Integrated with GitHub API for automated issue tracking" ], "technologies": ["React", "TypeScript", "GraphQL", "Node.js", "PostgreSQL", "WebSockets"], "link": "github.com/johndoe/project-manager" }, { "name": "Machine Learning Price Predictor", "date": "2022", "description": "ML model for predicting real estate prices with 92% accuracy", "highlights": [ "Trained model on 100K+ data points using scikit-learn and TensorFlow", "Deployed as Flask API with Docker containerization", "Created interactive dashboard for visualizing predictions" ], "technologies": ["Python", "TensorFlow", "scikit-learn", "Flask", "Pandas", "Docker"] } ], "education": [ { "degree": "Bachelor of Science in Computer Science", "school": "University of California, Berkeley", "location": "Berkeley, CA", "graduation_date": "May 2019", "gpa": "3.8/4.0", "honors": "Magna Cum Laude", "relevant_coursework": [ "Data Structures", "Algorithms", "Machine Learning", "Database Systems", "Software Engineering", "Computer Networks" ] } ], "skills": { "Languages": ["Python", "JavaScript", "TypeScript", "Java", "Go", "SQL"], "Frameworks": ["React", "Django", "Node.js", "Flask", "Express", "Spring Boot"], "Tools & Technologies": ["AWS", "Docker", "Kubernetes", "PostgreSQL", "MongoDB", "Redis"], "Practices": ["Agile/Scrum", "CI/CD", "TDD", "Microservices", "RESTful APIs", "Git"] }, "certifications": [ { "name": "AWS Certified Solutions Architect", "issuer": "Amazon Web Services", "date": "2023" }, {