user-segmentation
Analyzes user feedback to identify at least three distinct segments based on behavior, jobs to be done, and needs. Supports understanding diverse users and building a segmentation model.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Analyzes user feedback to identify at least three distinct segments based on behavior, jobs to be done, and needs. Supports understanding diverse users and building a segmentation model.
Creates Azure managed images and Azure Compute Gallery images using Packer. Supports custom image preparation for Azure virtual machines.
Uses HeyGen's v3 Video Agent pipeline for aspect-ratio correction, prompt preparation, avatar resolution, and voice selection. Supports custom or stock presenters and returns a share URL plus a session URL for iteration.
Supports adding and organizing source material in a wiki through single or batch ingestion. Helps compile, index, catalog, and update knowledge base content.
Uses fal.ai-hosted models for AI image editing. Supports style transfer, background removal, object removal, and inpainting.
Covers keyword research, names, subtitles, descriptions, screenshot captions and ordering, localization, and review strategy. Also supports Custom Product Pages, In-App Events, product page experiments, and in-app review prompt timing.
Executes Figma Plugin API scripts for canvas modifications, inspections, variable management, and design-system work. Provides a prerequisite for the other Figma skills in its catalogue.
Generates creative domain name ideas and checks their availability across multiple top-level domains. Supported examples include .com, .io, .dev, and .ai.
Uses OpenAI's Image API to generate and edit visual assets. Supports UI mockups, icons, illustrations, social cards, and visual references.
Preserves old references to aiconfig-ai-metrics after its rename to built-in-metrics. The description identifies it as a redirect to the replacement skill.
Identifies stagnation when repeated backtest parameter tuning reaches a local optimum. Generates strategy pivot proposals that change the strategy structure.
Uses @caido/sdk-client to search HTTP history with HTTPQL, test with proxied curl, and add match-and-replace rules. Supports reusable curl authentication configs and named replay sessions and collections for handoffs.
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