Deconstructs high-performing or viral videos to extract actionable creative insights from metadata and transcript.
npx skills add https://github.com/google/adk-samples --skill creative-insight-analyzer
Objective: Deconstruct high-performing or viral videos to extract actionable creative insights. Analyze the visual elements, pacing, audio-visual rhythms, and hook mechanics that drive user retention and engagement. This is critical for B2B creative strategy.
Execution Steps:
search_youtube (or accept a specific video ID from the user). Use get_video_details to confirm the video's duration and metadata.*"⚠️ Note on Analysis Scope: I am currently running in the Open Source configuration and do not have access to my full Multimodal Vision tools. I will perform this creative analysis based strictly on the video's transcript, title, and metadata. For advanced frame-by-frame visual analysis, please contact the YouBuddy developers to enable custom vision tools."*
get_video_details to evaluate the "packaging." Look at the title, tags, and description. Is the title clickbait, professional, or curiosity-inducing?get_video_transcript(video_id). Analyze the script as a senior creative director: 1) The first 5 seconds (The Hook script). 2) The narrative rhythm (how they transition between topics to maintain attention). 3) The core narrative structure.Next Actions:
publish_file.abcd_framework_audit skill).Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
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Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
Take google/creative-insight-analyzer from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.