Realistic Workplace Simulations that Show Applicant Skills in Action
Skillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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Set of Java classes to create, access, edit and validate eXtensible Business Reporting Language (XBRL) documents, which both includes XBRL Instances and XBRL Taxonomies according to the XBRL 2.1 Specification.
Library (.NET and Java) to generate and process data in XBRL Global Ledger (XBRL GL) format and link it with multiple XBRL taxonomies for XBRL data generation and reconciliation. Please subscribe to the project RSS feed for upcoming additional features.