Computer Vision

Automated Israeli tech job analysis system. Analyzes job opportunities with 6-component customizable scoring (Match, Income, Growth, LowPrep, Stress, Location). Uses local filesystem storage, automated company research, and multi-CV matching. Outputs markdown analyses and Excel tracking. Best for tech professionals in Israel's tech market. Storage location configured in skill-package/config/paths.py

Process and generate multimedia content using Google Gemini API for better vision capabilities. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (better image analysis than Claude models, captioning, reasoning, object detection, design extraction, OCR, visual Q&A, segmentation, handle multiple images), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image with Imagen 4, editing, composition, refinement), generate videos (text-to-video with Veo 3, 8-second clips with native audio). Use when working with audio/video files, analyzing images or screenshots (instead of default vision capabilities of Claude, only fallback to Claude's vision capabilities if needed), processing PDF documents, extracting structured data from media, creating images/videos from text prompts, or implementing multimodal AI features. Supports Gemini 3/2.5, Imagen 4, and Veo 3 models with context windows up to 2M tokens.

Create tailored, ATS-optimized resumes from LinkedIn PDF exports. Use when the user wants to generate a resume for a specific job role, provides a LinkedIn PDF, or mentions creating/updating a CV or resume.

Use when creating or developing anything, before writing code or implementation plans - refines rough ideas into fully-formed designs through structured Socratic questioning, alternative exploration, and incremental validation

Generate React components for IntelliFill following patterns (forwardRef, CVA variants, Radix UI, TailwindCSS). Use when creating UI components, forms, or pages.

Provides deep-dive analysis of specific vulnerabilities including EPSS/KEV data, exploit details, prioritization rationale, and remediation guidance. Activates when user asks to explain a CVE, understand prioritization, or get exploit details.

This skill should be used when generating lesson summaries for educational content. It extracts key concepts, mental models, patterns, and common mistakes from lesson markdown files using a Socratic extraction process. Use this skill when a lesson file needs a `.summary.md` companion file, or when reviewing/refreshing existing summaries.

Build coordination wrapper for VCV Rack modules using Makefile

This skill should be used when scanning container images, filesystems, or repositories for vulnerabilities using Trivy. Use for CVE detection, security analysis, vulnerability comparison across image versions, understanding scan output (severity levels, status fields), and batch scanning multiple images.

Analyze Gradle dependencies for outdated versions, known CVEs, unnecessary transitive dependencies, and version conflicts

Edit and update existing CV content using the knowledge base as source of truth. Use when user wants to modify case studies, update experience, refine variants, or improve existing content.

Use when creating or developing anything, before writing code or implementation plans - refines rough ideas into fully-formed designs through structured Socratic questioning, alternative exploration, and incremental validation | コードや実装計画を書く前に、何かを作成・開発する際に使用 - 体系的なソクラテス式の問いかけ、代替案の探索、段階的な検証を通じて、粗いアイデアを完成度の高い設計に洗練

Scans dependencies for known vulnerabilities (npm audit, pip-audit, etc.), generates reports, and suggests fixes. Use when user asks to "check vulnerabilities", "security scan", "audit dependencies", "check CVEs", or "vulnerable packages".

Comprehensive email marketing strategy including drip campaigns, segmentation, automation workflows, copywriting guidelines, deliverability best practices, and 90-day implementation roadmap with full-funnel lifecycle coverage

Adaptive brainstorming for VCV Rack module concepts and improvements

Validate and configure all dependencies required for VCV Rack Module Freedom System

Interactive research and planning (Stages 0-1) for VCV Rack module development

Version management, bug fixes, feature additions for VCV Rack modules

Query the CV knowledge base to find achievements, stories, and metrics by theme, skill, company, or keyword. Use when user asks about experience, wants to find specific accomplishments, or needs data for content generation.

Use when creating or developing anything, before writing code or implementation plans - refines rough ideas into fully-formed designs through structured Socratic questioning, alternative exploration, and incremental validation