SkillsHome gives you independently verified skill data, AI-powered candidate Q&A, and instant JD match scores β before you schedule a single interview.
Resumes are aspirational documents. Skills claims are rarely verified until it's too late.
Candidates claim 5+ years in every skill. There's no way to verify without a full interview loop.
40% of technical interviews fail at the take-home stage β because skills were never validated upfront.
New hires frequently lack skills they claimed, discovered only after joining β costing $50k+ per mis-hire.
AI infers proficiency from actual resume content β years of experience, project complexity, mention frequency β not just keyword presence.
Candidates take proctored quizzes, live coding challenges, and scenario responses through SkillsHome. Scores cannot be edited.
The recruiter AI chat is strictly RAG-grounded. Every answer cites its source β no fabrication, no hallucination.
No new tools. Just click the candidate's link.
Ask any question about a candidate. Every answer is backed by verified data β experience entries, project descriptions, assessment scores β never fabricated.
Paste your job description and get an instant percentage match. See which required skills are present, which are below level, and which are missing entirely.
Assessments run through SkillsHome are time-stamped and independently scored. See exactly when a skill was tested, at what difficulty level, and the resulting score.
No login required to view a candidate's profile. Click their SkillsHome link β full skill breakdown, work history, projects, and assessment results.
See how a candidate's proficiency has changed over time. Identify consistent improvement vs. stagnation before ever scheduling an interview.
Every verified score is benchmarked against 12,000+ profiles. Know exactly where a candidate ranks relative to the talent pool β not just their self-reported number.
The AI recruiter chat reads directly from the candidate's verified skill data, experience history, and assessment scores. Every answer cites its source.
SkillsHome AI Assistant
Powered by Alex Chen's verified profile
Does Alex have experience with distributed systems?
Yes. Based on their experience at TechFlow (2021β2024), Alex designed a Kafka-based event streaming system handling 2M+ events/day. Their verified score for distributed systems is 82/100, earned in January 2026.
How does their React experience compare to a senior-level expectation?
Alex's system proficiency for React is 4/5, with a verified score of 88/100. This places them in the 91st percentile across 12,000+ profiles on SkillsHome. At senior level, a score of 3.5+ is typically expected.
Senior Backend Engineer β TechFlow
βAlex meets 4 of 5 required skills. Strong Node.js and TypeScript background with verified assessment scores. Gap in Kubernetes (has Docker experience) and no Rust exposure.β
Paste any job description. SkillsHome cross-references every required and preferred skill against the candidate's verified profile data and returns a weighted match score in seconds.
Recruiters can access any candidate's public profile for free. For teams that want bulk analysis, role templates, and shared dashboards β our Team and Enterprise plans have you covered.
It's free for candidates. Add βSkillsHome profile requiredβ to your job postings and get verified skill data from day one.