More from aia-11-hn-mib/mib-mockinterviewaibot

• gemini-video-understanding

  Analyze videos using Google's Gemini API - describe content, answer questions, transcribe audio with visual descriptions, reference timestamps, clip videos, and process YouTube URLs. Supports 9 video formats, multiple models (Gemini 2.5/2.0), and context windows up to 2M tokens (6 hours of video).

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• imagemagick

  Guide for using ImageMagick command-line tools to perform advanced image processing tasks including format conversion, resizing, cropping, effects, transformations, and batch operations. Use when manipulating images programmatically via shell commands.

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• remix-icon

  Guide for implementing RemixIcon - an open-source neutral-style icon library with 3,100+ icons in outlined and filled styles. Use when adding icons to applications, building UI components, or designing interfaces. Supports webfonts, SVG, React, Vue, and direct integration.

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• obsidian-qa-saver

  Save Q&A conversations to Obsidian notes with proper formatting, metadata, and organization. Use this skill when the user explicitly requests to save a conversation, question-answer exchange, or explanation to their Obsidian vault. Automatically formats content as document-style notes with timestamps, tags, and project links.

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• repomix

  Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML, Markdown, plain text), preserve file structure and context, optimize for AI consumption with token counting, filter by file types and directories, add custom headers and summaries. Use when packaging codebases for AI analysis, creating repository snapshots for LLM context, analyzing third-party libraries, preparing for security audits, generating documentation context, or evaluating unfamiliar codebases.

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• gemini-vision

  Guide for implementing Google Gemini API image understanding - analyze images with captioning, classification, visual QA, object detection, segmentation, and multi-image comparison. Use when analyzing images, answering visual questions, detecting objects, or processing documents with vision.

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