Deep understanding of TikTok, YouTube, Instagram, and Facebook algorithms for 2025-2026. PROACTIVELY activate for: (1) Algorithm optimization, (2) Platform-specific strategy, (3) Content distribution understanding, (4) Engagement signal optimization, (5) Cold start strategies, (6) Trending and discovery, (7) Hashtag and SEO strategy, (8) Posting time optimization, (9) Cross-platform differences. Provides: Algorithm signal breakdowns, platform comparisons, optimization strategies, posting schedules, hashtag strategies, and discovery mechanisms.
View on GitHubJosiahSiegel/claude-plugin-marketplace
viral-video-master
plugins/viral-video-master/skills/viral-video-platform-algorithms/SKILL.md
January 20, 2026
Select agents to install to:
npx add-skill https://github.com/JosiahSiegel/claude-plugin-marketplace/blob/main/plugins/viral-video-master/skills/viral-video-platform-algorithms/SKILL.md -a claude-code --skill viral-video-platform-algorithmsInstallation paths:
.claude/skills/viral-video-platform-algorithms/## CRITICAL GUIDELINES ### Windows File Path Requirements **MANDATORY: Always Use Backslashes on Windows for File Paths** When using Edit or Write tools on Windows, you MUST use backslashes (`\`) in file paths, NOT forward slashes (`/`). --- # Platform Algorithms Deep Dive (2025-2026) Complete guide to understanding and optimizing for TikTok, YouTube, Instagram, and Facebook algorithms. ## Algorithm Fundamentals ### How Social Algorithms Work All major platforms use similar principles: 1. **Content Analysis**: What is the video about? 2. **User Signals**: How do viewers interact? 3. **Creator Signals**: Creator history and behavior 4. **Distribution**: Who should see this content? 5. **Feedback Loop**: Performance adjusts distribution ### Universal Algorithm Truths **Platforms Want:** - Users to stay on platform longer - High engagement (interactions) - Quality content that satisfies users - Diverse content discovery **What Drives Distribution:** - Watch time (how long people watch) - Engagement depth (comments > likes) - Completion rates (especially for short-form) - Sharing behavior - Return visits --- ## TikTok Algorithm (2025) ### Algorithm Signals | Signal | Weight | Description | |--------|--------|-------------| | Watch Time | Highest | Total seconds watched | | Completion Rate | Very High | % of video watched | | Replays | High | Video watched multiple times | | Shares | High | Direct shares to others | | Comments | Medium-High | Written engagement | | Follows | Medium | New followers from video | | Likes | Lower (2025) | Heart button taps | **2025 Update:** Shallow interactions (likes) have reduced weight compared to deeper signals like watch time and replays. ### TikTok's Cold Start System **How New Videos Are Tested:** 1. Video published 2. Shown to 200-500 initial viewers 3. Performance measured against benchmarks 4. Strong performance = expanded distribution 5. Weak performance = limited to followers **Cold Start Success Factors:**