Skill UI

Xberg is a document intelligence library supporting 107 formats including PDF, Office, and images. It extracts text, tables, and metadata using OCR and chunking. Available for Python, Node.js, Rust, and CLI. Ideal for developers building document processing applications with multi-language bindings and structured output.

This tool manages peer support buddy programs for new hires. It helps register new employees, assign buddies, track departments, dates, check-ins, and feedback scores. It generates templates like CSV, SQL, or Notion schemas based on specific business needs. It focuses on onboarding workflows without processing real employee data, ensuring safety. Ideal for scaling teams needing structured onboarding tracking.

This skill helps manage business resources by planning capacity and workload. It calculates available hours, utilization percentages, and checks for over-allocation. It generates templates like CSV, SQL, or Notion for resource planning without processing real employee data.

This skill helps establish a client and account register for business operations. It tracks contacts, billing addresses, tax IDs, payment terms, and outstanding balances. It generates templates for CSV, SQL, Notion, or JSON based on user requirements. Suitable for SMEs to manage customer records and accounts receivable without processing real sensitive data.

This skill manages company email and tool accounts for employees. It creates registers for account provisioning, security policies like 2FA, and access reviews. It helps with onboarding and offboarding workflows without processing real data. Use it to build templates for account lists, CSV exports, or SQL schemas.

This skill generates competency matrices defining expected proficiency levels for specific job roles and grades. It supports building role frameworks, hiring bars, and skills frameworks by creating structured data artifacts like CSV, SQL, JSON, or Notion mappings. It helps organize competencies, assessment methods, and skill areas without processing real employee data. Ideal for HR and business operations to standardize role expectations.

This skill provides guidance on extracting tabular data from PDFs, spreadsheets, and images using the xberg tool. It covers layout-aware table detection, selection of table models (TATR, SLANet variants), output formats (Markdown or JSON), and known limitations. Useful for processing financial statements, invoices, and scientific tables.