WorkRB: Work Research Benchmark
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Updated
Jun 2, 2026 - Python
WorkRB: Work Research Benchmark
Extract ESCO skills and ISCO occupations from texts such as job descriptions or CVs
Turn any GitHub repo into a multi-agent AI system for VS Code Copilot. One command generates orchestrators, sub-agents, skills, handoffs, and copilot-instructions.md — all validated with Zod. Supports remote analysis without cloning. 169 tests. TypeScript.
Claude Code plugins collection - custom plugins and curated favorites. chat-saver/skill-extractor/codex-bridge/etc...
AI skills that automate software architecture design and documentation. Generates SEO-optimized READMEs from codebases and designs complete agentic AI systems with Mermaid diagrams, MCP configs, and implementation guides.
AI-powered Resume & Job Description Matcher built with FastAPI and Streamlit
NLP-based service for extracting professional skills from unstructured text (resumes, job descriptions, profiles) using Named Entity Recognition (NER).
Data → Skills: Gradient-optimized expert knowledge extraction. Invert the ML pipeline — interpretable text skills instead of black-box weights. Inspired by SkillOpt.
AI-powered resume screening system that parses PDF resumes, matches skills against job descriptions using NLP, and generates a candidate score, fit classification, and interview questions via a local LLM (Ollama/Qwen2.5)
🌐 Analyze resources efficiently with Agent Smith CLI, a versatile tool for developers to enhance their workflows and optimize data management tasks.
Match your resume with job descriptions and get skill analysis plus improvement suggestions.
CodeForge AI is an intelligent career assistant that analyzes resumes, detects skill gaps, and generates personalized learning roadmaps with AI-powered insights and audio briefings.
Agragrati – AI Resume & Job Search is an AI-powered platform that analyzes resumes, extracts key skills, and provides targeted feedback while integrating with APIs like JSearch and Adzuna to deliver real job opportunities across platforms such as LinkedIn and Indeed.
NLP-based skill extractor identifying 200+ technical & soft skills from resumes with 93% precision — built with FastAPI, React & spaCy
An explainable Python-based system that analyzes skill gaps between resumes and job descriptions using transparent text processing, rule-based NLP, and deterministic scoring — designed for interview-readiness and real-world hiring scenarios.
LLM-powered adaptive learning platform — GPT-4o skill extraction, personalized gap-targeted study paths, social learning features
TalentScope helps teams transparently rank candidates by aligning CVs with job descriptions using phrase-aware skill matching and salary-aware scoring.
AI-powered resume analyzer that extracts skills, predicts job roles, matches resumes with job descriptions, and recommends courses using NLP and machine learning.
AI-powered Resume Screener Internship Project built with Python and Flask. The system uploads resumes, extracts skills using NLP, matches them with job descriptions and generates match percentage analysis. Technologies: Python, Flask, NLP, PyPDF2, pdfplumber, HTML, CSS, JavaScript.
Automated job scraping and skill extraction system for operations research, optimization, and data science roles across LinkedIn and Indeed.
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