skill-extractor (JavaScript)

Extract skills from job postings and resumes. A 32,000-skill gazetteer proposes candidates; a MiniLM + MLP context classifier accepts or rejects each one, so "we value a can-do attitude" doesn't become a skill. Trained on 491K labeled samples, 73% F1 on held-out job postings.

Runs on transformers.js — the MiniLM model downloads from the Hugging Face Hub on first use and is cached.

npm install skill-extractor

import { extractSkills } from 'skill-extractor';

const text = `Senior Backend Engineer. 5+ years Python or Go, REST APIs with
FastAPI, PostgreSQL, AWS (ECS, Lambda). Docker and Kubernetes required.
Strong communication skills.`;

console.log(await extractSkills(text));
// ['aws', 'communication', 'docker', 'ecs', 'fastapi', 'go', 'kubernetes',
//  'lambda', 'postgresql', 'python', 'rest apis']

Lower-level API:

import { SkillExtractor } from 'skill-extractor';

const ex = new SkillExtractor({ quantized: true }); // 23MB model, ~4x faster
await ex.extract(text, 0.7);  // stricter threshold
ex.candidates(text);          // raw gazetteer hits + context windows

Part of the skill-extractor family (Python · JavaScript · Ruby · Rust — identical output, shared parity fixtures). Built by Qarera — see our analysis of 360,000+ job postings for what this pipeline extracts at scale. MIT.