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Structured content modeling guidance for schema design, reusability, and multi-channel delivery. \n \n Covers core principles: treating content as data rather than pages, maintaining single sources of truth, designing for future channels, and optimizing for editor workflows \n Includes decision frameworks for references versus embedded objects, separation of concerns, and content reuse patterns \n Provides taxonomy and classification guidance for flat, hierarchical, and faceted approaches \n App

Transform one idea into platform-native content across X, LinkedIn, TikTok, YouTube, and newsletters without cross-posting. \n \n Adapts source assets (articles, videos, demos, docs) into distinct platform variants with native hooks, pacing, and CTAs \n Covers five platforms with specific guidance: X (fast opens, one idea per post), LinkedIn (strong first lines, explicit lessons), short video (attention-grabbing first 3 seconds), YouTube (early results, visual refresh every 20-30 seconds), and n

Multi-platform content analytics via Apify Actors for Instagram, Facebook, YouTube, and TikTok. \n \n Supports 17+ specialized Actors covering posts, reels, stories, comments, hashtags, followers, and ads across all four platforms \n Dynamically fetches Actor schemas using mcpc CLI to determine required inputs and available output fields \n Outputs results in three formats: quick chat display, CSV export, or JSON export with customizable result counts \n Requires Apify token in .env file and Nod

Diagnose and reverse traffic loss on existing pages using decay triage framework. \n \n Composite decay scoring across five weighted signals (traffic decline, position drops, CTR decline, content freshness, competitive displacement) prioritizes which pages need action most urgently \n Decision tree guides whether to refresh, consolidate, redirect, or retire each decaying page based on topic relevance, intent shifts, and content staleness \n Refresh playbooks tailored to content type (blog posts,

Cache expensive file processing results using SHA-256 content hashes instead of file paths. \n \n Content-hash keys survive file moves and auto-invalidate when content changes, eliminating path-based cache brittleness \n Store cache entries as individual {hash}.json files for O(1) lookup without requiring a separate index \n Implement caching as a service layer wrapper around pure processing functions, keeping extraction logic separate from cache concerns \n Handle cache corruption gracefully by

Category: test

Generate images, videos, captions, and thumbnails for TikTok, Instagram, YouTube, and Twitter/X. \n \n Supports all major platform formats: vertical 9:16 for TikTok/Reels/Shorts, 16:9 for YouTube thumbnails and Twitter, and 1:1 for Instagram Feed \n Integrates video generation (Veo, Seedance), image creation (FLUX), text-to-speech (Kokoro), and AI avatars for talking head content \n Includes workflow templates for trending videos, tutorials, product showcases, lifestyle content, and behind-the-s

Category: test

Transform content across platforms with platform-specific optimization.

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