melgarafael/growthos/platform-mastery
Claude Code and agent skill by melgarafael/growthos
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Platform-by-platform algorithm knowledge, best practices, and content adaptation rules for YouTube, LinkedIn, Twitter/X, Reddit, Instagram, GitHub, Threads, and StackOverflow. Use when optimizing content for a specific platform or adapting cross-platform content.
Install
npx vskill@latest install melgarafael/growthos/platform-masterySKILL.md
Platform Mastery Skill
Deep algorithm knowledge and content optimization rules for each social platform. Ensures content is native to each platform rather than cross-posted generically.
Platform Quick Reference
| Platform | Algorithm Priority | Content Sweet Spot | Tone | |
|---|---|---|---|---|
| YouTube | Watch time + CTR | 8-15 min long-form | Educational, personality-driven | |
| Comments > reactions | 1200-1500 chars + image | Professional, insight-driven | ||
| Twitter/X | Engagement rate | 200-280 chars + media | Concise, opinionated | |
| Upvote ratio + authenticity | Text posts, genuine value | Authentic, humble, no marketing | ||
| Saves + shares | Carousel (10 slides) | Visual-first, aspirational | ||
| GitHub | Stars + community engagement | README quality + releases | Technical, precise | |
| Threads | Conversation + reposts | 300-500 chars | Conversational, casual | |
| StackOverflow | Answer quality score | Canonical answers | Technical, helpful, factual |
YouTube
Algorithm Signals (Priority Order)
- Click-through rate (CTR): Thumbnail + title combination. Target >5% CTR.
- Average view duration: Percentage of video watched. Target >50%.
- Session time: Does your video lead to more YouTube watching? Playlists help.
- Engagement rate: Likes, comments, shares — comments weighted highest.
- Upload consistency: Regular schedule signals reliability to algorithm.
Content Rules
- Hook in first 5 seconds — no intros, logos, or "hey guys welcome back"
- Retention triggers every 60-90 seconds (pattern interrupts, open loops)
- Chapters (3+ timestamps starting at 0:00) — improves search + UX
- End screens in last 20 seconds — link to related content
- Thumbnail: 3-5 words max, readable at 100px width, face + emotion
- Title: <60 chars, front-load keyword, curiosity gap
Optimal Format
Anti-Patterns
- Asking to "smash that like button" before delivering value
- Thumbnails with >5 words of text
- First 30 seconds of logos, channel intros, sponsor reads
- Generic tags ("tutorial", "how to")
Algorithm Signals (Priority Order)
- Comments (especially long comments): Highest weight signal
- Dwell time: Time spent reading your post
- Reactions: Likes and other reactions (comments > reactions)
- Shares/reposts: Signal virality to algorithm
- Profile authority: SSI score, connection relevance
Content Rules
- First 3 lines are everything — hook before "...see more" truncation
- Line breaks after every 1-2 sentences (mobile readability)
- End with a question — drives comments (algorithm's top signal)
- Personal stories outperform corporate content 3-5x
- Images increase engagement 2x (single image > carousel on LinkedIn)
- Native documents (PDF carousels) get high dwell time
- No external links in post body — put links in first comment
Post Format
Optimal Format
Anti-Patterns
- Starting with "I'm excited to announce..."
- Wall of text without line breaks
- External links in post body (kills reach)
- Hashtag stuffing (>5 hashtags)
- Corporate jargon ("synergy", "leverage", "disrupt")
Twitter/X
Algorithm Signals (Priority Order)
- Engagement rate: Replies + retweets + likes relative to impressions
- Media attachments: Images/video boost distribution
- Recency: Tweets decay fast — timing matters
- Thread completion: Full thread reads signal quality
- Profile engagement history: Algorithm favors accounts you interact with
Content Rules
- One idea per tweet — don't cram multiple concepts
- Strong opening — first 7 words determine if people read
- Threads for long-form: Tweet 1 is the hook, each tweet is self-contained
- Media boosts reach: Image, screenshot, or short video
- Quote tweets with commentary outperform plain retweets
- Reply to your own tweet with additional context or links
Tweet Formats
Optimal Format
Anti-Patterns
- Hashtag stuffing (Twitter isn't Instagram)
- Threads that could be a single tweet
- Starting tweets with "1/" without a hook
- Posting only links without commentary
- Engagement bait ("Like if you agree")
Algorithm Signals (Priority Order)
- Upvote-to-downvote ratio in first hour: Critical window
- Comment volume and quality: Active discussion signals value
- Community fit: Content matching subreddit culture
- Account karma + age: Spam filtering mechanism
- Report ratio: Low reports = trusted content
Content Rules (CRITICAL: Reddit is Anti-Marketing)
- NO marketing speak — Reddit users detect and punish self-promotion
- Value-first, brand-never: Share knowledge, not products
- Read subreddit rules before posting — each sub has specific requirements
- Authentic tone: Write like a human, not a brand
- Text posts outperform links in most subreddits
- Respond to every comment on your posts (signals engagement)
- The 10:1 rule: 10 genuine community interactions per 1 self-promotional post
Post Format
Optimal Format
Anti-Patterns
- Sounding like a press release
- Using marketing buzzwords ("game-changer", "revolutionary")
- Posting the same content to multiple subreddits without adaptation
- Not reading subreddit rules before posting
- Ignoring comments on your posts
- New account with only self-promotional posts
Algorithm Signals (Priority Order)
- Saves: Strongest signal — content worth returning to
- Shares (DMs): Content worth sharing privately
- Comments: Engagement depth
- Reach to non-followers: Explore page potential
- Reel completion rate: For video content
Content Rules
- Visual-first — text is secondary to visual impact
- Carousels get highest engagement (10 slides, save-worthy)
- Reels for reach, carousels for engagement, Stories for community
- Caption structure: Hook line → value → CTA → hashtags
- Hashtag strategy: 5-15 relevant hashtags, mix of sizes
- Stories: 3-7 per day, use polls/questions for engagement
- Alt text: Always add for accessibility + SEO
Optimal Format
Anti-Patterns
- Text-heavy images (Instagram is visual-first)
- Using all 30 hashtags (looks spammy)
- Ignoring Stories and Reels (feed-only strategy is dead)
- Cross-posting Twitter screenshots
- No alt text on images
GitHub
Algorithm Signals (Visibility)
- Stars: Primary popularity metric
- Forks: Community adoption signal
- Contributor count: Active community
- README quality: First impression, determines stars
- Release frequency: Active maintenance signal
- Issue response time: Community health
Content Rules
- README is your landing page — treat it like a conversion page
- Structured README: Badge bar → hero → install → quickstart → docs link
- Release notes: Detailed, categorized (Added, Changed, Fixed, Removed)
- Discussions: Use for community engagement, not just Issues
- Contributing guide: Lower barrier to contribution
- Issue templates: Structured bug reports and feature requests
README Format
Optimal Format
Threads
Algorithm Signals
- Reposts: Highest distribution signal
- Replies: Conversation depth
- Likes: Engagement signal
- Cross-posted from Instagram: Slight boost for connected accounts
- Recency: Fast-moving feed
Content Rules
- Conversational tone — Threads is casual, not professional
- Shorter than Twitter — 300-500 chars sweet spot
- No hashtags (minimal hashtag culture)
- Cross-post from Instagram for connected reach
- Early-adopter advantage — algorithm still favoring content
Optimal Format
This is the start of the file. Read the full SKILL.md on GitHub.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/platform-mastery/SKILL.md
Popularity
- Repository stars
- 55
- Repository forks
- 31
- 7-day trend score
- 0
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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