skill-extractor (Ruby)

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 ONNX Runtime via informers — the MiniLM model downloads from the Hugging Face Hub on first use and is cached.

gem install skill-extractor

require "skill_extractor"

text = "Senior Backend Engineer. 5+ years Python or Go, REST APIs with " \
       "FastAPI, PostgreSQL, AWS (ECS, Lambda). Docker and Kubernetes required."

SkillExtractor.extract_skills(text)
# => ["aws", "docker", "ecs", "fastapi", "go", "kubernetes", "lambda",
#     "postgresql", "python", "rest apis"]

Lower-level API:

ex = SkillExtractor::Extractor.new(quantized: true) # 23MB model, ~4x faster
ex.extract(text, threshold: 0.7)  # stricter
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.