resume-manager_skill

This skill helps you build, update, and tailor professional resumes by extracting data from your current profile and generating role-specific one-page PDFs.

Python

284

GitHub Stars

3

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill ailabs-393/ai-labs-claude-skills --skill resume-manager

index.js249 B
package.json218 B
SKILL.md20.4 KB

Overview

This skill transforms resume work into a managed, structured workflow that extracts your existing resume data, maintains a career database, and generates one-page, professionally styled PDF resumes tailored to specific job roles. It selects the most relevant experiences, projects, education, and skills for each application and optimizes content for ATS parsing and human readers.

How this skill works

On first use it extracts personal info, work history, projects, education, skills, certifications, and other sections from an uploaded or pasted resume and saves them in a structured database. For a specific job, it analyzes the job title and description to identify keywords and requirements, filters and ranks the stored items by relevance, and generates a one-page PDF optimized for both ATS and hiring managers. You can add or update experiences, projects, skills, and certifications later; the database drives all subsequent tailored outputs.

When to use it

Create a tailored resume for a specific job application
Import and structure data from an existing resume or LinkedIn profile
Update or add work experience, projects, certifications, or skills
Generate an ATS-friendly one-page PDF resume
Maintain a living portfolio and track career progression

Best practices

Provide a current resume or profile for the initial import to populate the database
When requesting a tailored resume, share the job title and full job description or key requirements
Keep bullet points metric-driven and concise (prefer 1–2 lines each)
Group and prioritize skills by relevance to the target role
Update the database immediately after completing projects or earning certifications

Example use cases

Import an old resume and produce a focused one-page PDF for a Senior Backend Engineer role
Add a new project and regenerate a resume that highlights real-time analytics work
Update skills after a training course and export a resume emphasizing new competencies
Search the career database for 'machine learning' to surface relevant roles and projects
Export the entire profile as JSON for backup or cross-platform use

FAQ

It extracts keywords from the job description, ranks experiences and projects by keyword match and impact metrics, and selects the most relevant items to fit one page.

Can I edit the extracted data before generating a resume?

Yes. You can add or update personal info, experiences, projects, education, skills, and certifications in the database and then regenerate the resume.