SkillGap AI Turns Your Resume Into Clear Career Insights, Personalized Learning Roadmaps, and Practical Steps Toward Your Next Job Opportunity
Knowing what to learn next can be harder than learning itself. Job descriptions list dozens of requirements, while your resume rarely explains which gaps deserve your attention first.
SkillGap AI is a career planning app designed to make that decision easier. Upload your resume, choose a target role, and get a breakdown of your strengths, missing skills, and suggested improvements. Turn those insights into a learning roadmap with manageable tasks and track your progress as you complete them.
The dashboard brings everything together: career readiness, priority skills, recommended actions, and an AI coach for guidance. A searchable skill library helps you explore what to learn and add goals to your plan.
The visual direction combines an off-white background, deep plum panels, and lime accents with typography. The goal is simple: help people move from vague career anxiety to specific, achievable next steps, without treating a score as a hiring guarantee.
Tech stack
- Antigravity (4 Argon)
Links
Prompt
Build SkillGap AI, a responsive career planning web application that turns resume analysis into actionable learning plans. Use the attached dashboard as the visual reference. Preserve its off-white background, deep plum panels, lime accents, pale lilac coach card, bold typography, and generous spacing. Do not include the JD profile avatar.
Create five connected routes: Overview, Resume, Roadmap, Skill library, and Progress. Support active navigation states, direct links, browser history, and mobile layouts.
Resume: accept PDF and DOCX files up to 10 MB. Validate uploads, extract text, and handle unreadable documents clearly. Let users select a target role and optionally paste a job description. Analyze strengths, missing requirements, and resume improvements using actual extracted evidence. Explain the readiness scoring rubric and label scores as estimates. Save dated analysis versions. Never fabricate qualifications, rankings, or AI results.
Overview: display the latest readiness score, priority gaps, target role, and recommended actions. Connect every button to its destination. Include useful empty states before analysis.
Roadmap: generate editable milestones and tasks from identified gaps. Include effort estimates and completion criteria. Support completing, reopening, and rescheduling tasks while preserving previous work.
Skill library: provide searchable skills, category filters, descriptions, learning objectives, and verified resources. Allow adding skills to roadmaps without duplicates.
Progress: calculate completion from saved tasks and show comparable analysis history. Keep learning progress separate from resume readiness. Add working date filters.
Connect the AI coach to current analysis and roadmap context. Keep credentials server-side. Persist data using the existing backend, enforce user isolation, and support resume deletion. Add accessible controls, loading indicators, retries, and actionable errors.
Test the complete upload-to-analysis-to-roadmap flow, task updates, persistence after refresh, invalid files, unavailable services, and responsive navigation. Use real integrations when configured; otherwise show setup requirements. Report verified functionality and remaining limitations. Avoid decorative controls that do nothing.