resume-job-fit-screening

Screen and rank jobs from a careers search URL against a local resume.

Updated Mar 26, 2026
One-click install
npx skills add https://github.com/2218259767/resume-job-fit-screening --skill resume-job-fit-screening
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: resume-job-fit-screening
Source: https://github.com/2218259767/resume-job-fit-screening/tree/main
Command: npx skills add https://github.com/2218259767/resume-job-fit-screening --skill resume-job-fit-screening

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps transform a recruitment results page URL into a focused, evidence-backed shortlist by comparing listings against a locally stored resume and user preferences, while optionally leveraging local, synced, or bundled site notes to improve accuracy without exposing private data.

Core Features & Use Cases

  • Score and filter jobs against a local resume and long-term preferences with a strict rule-based screening plus secondary JD review.
  • Leverage site notes from local, synced, or bundled sources to guide decisions and provide context.
  • Output Markdown shortlists with evidence-backed justifications to support fast, privacy-conscious job decisions.

Quick Start

Install the skill and initialize the local runtime, then feed a search URL to start the screening process.

Frequently Asked Questions about resume-job-fit-screening

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I screen job listings from a careers URL against my resume?

To screen job listings, provide a careers search-results URL and a plain-text resume. The workflow applies strict rule-based screening and a secondary JD review to output a Markdown shortlist with evidence-backed rankings.

Can I use local site notes to guide job screening decisions?

Yes, job screening leverages local, synced, or bundled site notes to guide decisions. This provides context for comparing listings against your resume while preserving user privacy without exposing private data externally.

What is the best way to rank jobs from a careers search page using a plain-text resume?

The best way to rank jobs is feeding the search URL and plain-text resume into the screening workflow. It applies strict rule-based filtering with a secondary JD review to generate a Markdown shortlist with evidence-backed justifications.

Does automated job screening require an online account or can I use local files?

Automated job screening supports either a local account or a plain-text resume file. It loads deterministic scripts from the local runtime, ensuring the screening process remains self-contained and privacy-conscious.

What format do job screening results output for shortlisted positions?

Job screening results output as Markdown shortlists containing evidence-backed justifications. This format supports fast, privacy-conscious job decisions by clearly documenting why each listing passed the strict screening criteria.

Why use strict rule-based screening with a secondary JD review for job matching?

Strict rule-based screening with a secondary JD review ensures accurate job matching by filtering listings against your resume and long-term preferences. This two-stage approach prevents false positives and generates reliable shortlists.