instagram-reels
Download Instagram Reels, extract metadata, and generate full audio transcripts using Groq Whisper. Supports TikTok and YouTube Shorts via yt-dlp.
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Download Instagram Reels, extract metadata, and generate full audio transcripts using Groq Whisper. Supports TikTok and YouTube Shorts via yt-dlp.
🛡️ GDPR & LGPD Privacy Guardian: Automated compliance scanner that detects PII exposure, insecure logging, and tracking violations in your codebase to prevent regulatory fines.
Create publication-quality plots and visualizations using matplotlib and seaborn. Works locally with any LLM.
Optimize your App Store and Google Play metadata with expert ASO frameworks. Craft high-ranking titles, descriptions, and keyword fields to maximize search visibility and conversion rates for iOS and Android.
A comprehensive PDF toolkit for extracting text/tables, merging, splitting, rotating, and programmatically generating or filling PDF documents using Python and CLI tools.
Enhance fuzzer effectiveness by providing domain-specific tokens, magic bytes, and protocol-specific keywords to reach deep code paths.
A Notion-based tracking system for tweet performance to enable data-driven content experimentation using reinforcement learning principles.
Generate high-quality images via a local ComfyUI instance. Perfect for private workflows and professional-grade AI image synthesis.
Advanced visual regression testing with pixel-perfect and AI-powered diff analysis, cross-browser validation, and responsive design checks to prevent UI regressions in CI/CD pipelines.
Provides resiliency, health monitoring, and fault tolerance utilities for NVIDIA GPU-accelerated distributed applications, including process management and API key handling.
Expert SQL agent for modern database systems, query optimization, HTAP environments, and data architecture patterns. Optimize performance, schema design, and analytical workloads effectively.
Analyzes markdown files to identify token-wasting patterns, providing actionable suggestions to optimize documentation for LLM consumption and token efficiency.