[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DYWHPEKX4MQ5G0VE8DTK37":3,"skill-same:01M6DYWHPEKX4MQ5G0VE8DTK37":149},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":30,"publishedAt":51,"linkOnly":52,"markdownContent":53,"markdownBody":54,"frontMatter":55,"refName":60,"commitSha":61,"skillDirectory":62,"forksCount":63,"repositoryHtmlUrl":64,"repositoryHomepageUrl":6,"ownerHtmlUrl":65,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":66,"install":67,"resources":80},"01M6DYWHPEKX4MQ5G0VE8DTK37","create-viral-content",null,"AUTOMATIC ACTIVATION: Use this skill whenever generating content for social media platforms including Reddit posts, Twitter\u002FX threads, LinkedIn posts, YouTube videos\u002Fcomments, TikTok scripts, Instagram posts\u002Freels, email subject lines, blog titles, or any content intended for public engagement. Also triggers on: \"make this viral\", \"social media post\", \"catchy headline\", \"hook\", \"engagement\", \"shareable\", \"go viral\", \"attention-grabbing\", \"clickable\", \"scroll-stopping\", \"title ideas\", \"hot take\", \"more engaging\", \"subreddit\", \"thread\". Apply to any AI-generated content facing public audience or hostile perception.","kennyolofsson23-netizen\u002Fclaude-code-config","kennyolofsson23-netizen","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F262391667?v=4","01M6DYPCT5DBDV0C11CXD8G7RX","01M6DYPD3KYJ7P6A8H7RKJ6KGG",0,"MIT","https:\u002F\u002Fgithub.com\u002Fkennyolofsson23-netizen\u002Fclaude-code-config\u002Fblob\u002Fmain\u002Fskills\u002Fcreate-viral-content\u002FSKILL.md",[17,22,25],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000005","邮件与沟通","SCENARIO","使用场景",{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":26,"categoryName":27,"taxonomyType":28,"taxonomyTypeDesc":29},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],"create","create viral content","viral","content","tiktok","go","scripts","perception","triggers","attention","ideas","social","email","activation","youtube","take","generated","linkedin","twitter","Media","2026-11-10 10:12:30",false,"---\nname: create-viral-content\ndescription: |\n  AUTOMATIC ACTIVATION: Use this skill whenever generating content for social media platforms including Reddit posts, Twitter\u002FX threads, LinkedIn posts, YouTube videos\u002Fcomments, TikTok scripts, Instagram posts\u002Freels, email subject lines, blog titles, or any content intended for public engagement. Also triggers on: \"make this viral\", \"social media post\", \"catchy headline\", \"hook\", \"engagement\", \"shareable\", \"go viral\", \"attention-grabbing\", \"clickable\", \"scroll-stopping\", \"title ideas\", \"hot take\", \"more engaging\", \"subreddit\", \"thread\". Apply to any AI-generated content facing public audience or hostile perception.\nlicense: MIT\nmetadata:\n  author: ice-ninja\n  version: \"2.1\"\n---\n\n> ⚠️ **BEFORE USING THIS SKILL:** Review all files in the `resources\u002F` directory. These contain AI tell catalogs, platform templates, refinement protocols, and 40-source research basis required for proper skill execution.\n\n## Research Basis\n\nThis skill synthesizes findings from 40 documented research sources:\n- **BuzzSumo:** 100M headlines study → optimal length is 11 words\u002F65 characters\n- **Outbrain:** Negative superlatives outperform positive by 63%\n- **Netflix:** 82% of browsing time on thumbnails, 1.8s decision window\n- **Face Psychology:** +35-50% CTR with faces in thumbnails\n- **A\u002FB Testing Research:** 30-40% CTR improvement over time\n\nFull statistics in `resources\u002Fresearch-statistics.md`.\n\n# Create Viral Content\n\nMake your posts spread. This skill turns forgettable drafts into content that gets shares, comments, and action.\n\n## Core Principle: The Deliberative Refinement Loop\n\nGood content doesn't come from one pass. You attack it, fix it, attack again:\n\n1. Generate initial draft\n2. Attack it from audience perspectives\n3. Identify AI tells and weak points\n4. Refine with human voice\n5. Repeat until unbreakable\n\n## The Anatomy of Viral Content\n\n### Hook Architecture (First 2 Seconds)\n\n**Pattern: Prediction + Stakes**\n```\n\"I think [CONCEPT] is the [YEAR] [CATEGORY] that [OUTCOME].\"\n```\nExample: \"I think deliberative refinement is the 2026 prompt technique that matters most.\"\n\n**Why it works:**\n- \"I think\" = personal conviction, not corporate announcement\n- Year = creates FOMO and timeframe\n- Category = helps reader self-identify\n- Outcome = stakes that matter\n\n**Pattern: Tribal Identity Split**\n```\n\"[TECHNIQUE] separates [WINNERS] from [EVERYONE ELSE].\"\n```\nExample: \"This separates serious builders from prompt tourists.\"\n\n**Why it works:**\n- Creates in-group\u002Fout-group\n- Reader immediately picks a side\n- Ego investment drives engagement\n\n**Pattern: Before\u002FAfter Compression**\n```\n\"What used to require [OLD COMPLEXITY] now [NEW SIMPLICITY].\"\n```\nExample: \"What used to need 12 models chained together now takes one.\"\n\n**Why it works:**\n- Concrete efficiency gain\n- \"I had no idea\" response\n- Shareable stat\n\n### Body Structure: The Build\n\n**Required elements (in order):**\n1. WHAT - Explain the concept (1-2 sentences max)\n2. HOW - The mechanic with concrete examples\n3. WHY NOW - The breakthrough that makes it possible\n4. PAYOFF - What you can actually build\u002Fachieve\n\n**Anti-patterns to avoid:**\n- Starting with \"why it matters\" before explaining \"what it is\"\n- Generic benefits without specific mechanics\n- Selling the sizzle before showing the steak\n\n### Closer Architecture (Last 10%)\n\n**Pattern: Command, Not Request**\n```\nBAD: \"Try it. Change my mind.\"  (beggy, engagement bait)\nGOOD: \"Your next [ACTION] shouldn't [OLD WAY]. It should [NEW WAY].\"\n```\nExample: \"Your next prompt shouldn't ask for an answer. It should demand: 'Attack this from three expert perspectives, ground your claims, then revise.'\"\n\n**Why the command works:**\n- Ends on authority, not weakness\n- Gives immediate actionable next step\n- Mirrors the thesis in its structure\n\n## AI Tell Detection and Elimination\n\nKill these on sight:\n\n### Transition Tells\n- ❌ \"Here's the wild part:\"\n- ❌ \"Here's the thing:\"\n- ❌ \"Let's dive in\"\n- ❌ \"But here's the kicker:\"\n- ✅ Direct statement with no transition needed\n\n### Enthusiasm Tells\n- ❌ \"I'm excited to share\"\n- ❌ \"This is a game-changer\"\n- ❌ \"Revolutionary\"\n- ✅ Let the content create excitement\n\n### Structure Tells\n- ❌ Numbered lists for everything\n- ❌ \"First... Second... Finally...\"\n- ❌ \"In conclusion\"\n- ✅ Prose that flows naturally\n\n### Engagement Bait Tells\n- ❌ \"Change my mind\"\n- ❌ \"What do you think?\"\n- ❌ \"Let me know in the comments\"\n- ✅ Strong closer that doesn't ask for permission\n\n### Corporate Speaks\n- ❌ \"Leverage\"\n- ❌ \"Utilize\"  \n- ❌ \"Implement solutions\"\n- ✅ Plain verbs: use, try, build, ship\n\n### Punctuation Tells (2024-2025)\n- ❌ Em-dash overuse — like this — everywhere (max 1 per 500 words)\n- ❌ Paragraphs starting with \"However,\" \"Moreover,\" \"Overall,\"\n- ❌ Pleonasms: \"true fact,\" \"end result,\" \"close proximity\"\n- ❌ Tautologies: \"collaborate together,\" \"revert back\"\n- ❌ Uniform sentence lengths (all 15-18 words)\n- ✅ Vary punctuation, sentence length, and structure\n\n## Platform-Specific Optimization\n\n### Reddit\n**Title patterns that work:**\n- Hot Take: [Contrarian Position]\n- [Technique]: Why [Common Practice] is dead in [YEAR]\n- The [category] technique that [concrete result]\n- Stop [old behavior]. [New behavior] is the [year] meta.\n\n**Body guidelines:**\n- 200-400 words optimal\n- Use bold for section headers sparingly\n- End with TL;DR that's actually quotable\n- Don't ask \"what do you think?\" - invite specific discussion\n\n**Subreddit calibration:**\n- r\u002FMachineLearning: Technical, invite discussion, conservative claims\n- r\u002FChatGPT: Practical, show the meta shift, power-user focus\n- r\u002Fsingularity: Hype-friendly, maximum viral coefficient\n- r\u002FLocalLLaMA: Add self-hosting angle\n- Hacker News: \"Show HN:\" format, understate rather than overstate\n\n### YouTube Comments\n**Constraints:** ~500 chars, must hook in first line, no formatting\n**Pattern:**\n```\n[Bold claim in first sentence]. [Mechanic in 2 sentences]. [Why now]. [Call to action or quotable closer].\n```\n\n### Twitter\u002FX Threads\n**Thread structure:**\n1. Hook tweet (standalone viral potential)\n2. \"Here's how:\" transition\n3. 3-5 mechanic tweets\n4. Payoff\u002Fresult tweet\n5. Call-to-action tweet\n\n**Per-tweet rules:**\n- Each tweet must standalone\n- No \"1\u002F\" numbering (algorithmic penalty)\n- Use line breaks for readability\n- End threads with something quotable\n\n### LinkedIn\n**Patterns that perform:**\n- Personal story + professional lesson\n- \"Unpopular opinion:\" framing\n- Contrarian take on industry norm\n- Before\u002Fafter transformation\n\n**Avoid:**\n- Pure promotional content\n- Asking for engagement explicitly\n- Hashtag stuffing\n\n### TikTok\n**Hook constraints:** 1-3 seconds to capture, sound-off viewing common\n\n**High-performing hooks:**\n- Curiosity: \"Most people don't know [surprising fact]...\"\n- Problem: \"If you struggle with [problem], watch this...\"\n- Result: \"I tried [thing] for [time]. Here's what happened...\"\n- Controversy: \"This is why everyone is wrong about [topic]...\"\n\n**Caption optimization:**\n- Keywords in first 3 words\n- 5-10 words optimal\n- Hashtags at end, not stuffed\n\n### Instagram Reels\n**Constraints:** Vertical 9:16, auto-play, first frame critical\n\n**Thumbnail (cover) matters less than:**\n- First frame visual hook\n- Text overlay in first 2 seconds\n- Pattern interrupt opening\n\n**Carousel posts:**\n- First slide: Hook with curiosity gap\n- Middle slides: Value delivery\n- Last slide: Quotable statement or CTA\n\n### Email Subject Lines\n**Optimal length:** 30-50 characters (mobile-first)\n\n**High-performing patterns:**\n- Curiosity: \"Is this why your [metric] is stuck?\"\n- Personal: \"[Name], noticed you haven't tried this\"\n- Value: \"Get 2x [outcome] with one tweak\"\n\n**Anti-patterns:**\n- ❌ ALL CAPS urgency\n- ❌ \"Quick question\" (when it's not)\n- ❌ Emoji overload ???\n\n## The Humanization Pass\n\nDone with structure? Run **humanize-writing** to polish the voice. Same viral hooks, human delivery.\n\n### Automatic Integration\n\nIf you've got both skills, call humanize-writing directly:\n\n```\nApply the humanize-writing skill to this draft. Focus on:\n- Removing AI vocabulary tells from the content\n- Ensuring natural sentence rhythm \n- Maintaining the viral hooks I've established\n```\n\n### Manual Humanization Checklist\n\nNo humanize-writing? Run this instead:\n\n1. **Read aloud test**: Does it sound like a human talking to a friend at a bar?\n2. **Transition audit**: Remove every \"Here's the thing\" type phrase\n3. **Enthusiasm check**: Delete excitement language, keep exciting content\n4. **Specificity check**: Replace every generic noun with a concrete example\n5. **Length check**: Cut 20% - viral content is always shorter than the draft\n\n### Platform-Specific Humanization Calibration\n\n| Platform | Humanization Level | Formality Target |\n|----------|-------------------|------------------|\n| Reddit | High | Casual expert |\n| LinkedIn | Medium | Professional but warm |\n| Twitter\u002FX | Medium-High | Punchy, fragmentary OK |\n| YouTube | High | Accessible, conversational |\n| Hacker News | Medium | Technical, understated |\n\n### Quantitative Thresholds for Viral Content\n\nCheck these numbers after humanizing:\n\n- **Hook strength**: First sentence must create curiosity or stakes\n- **AI tells**: Zero tolerance for blacklisted phrases (see `resources\u002Fai-tells.md`)\n- **Word count**: Platform-specific (Reddit: 200-400, Twitter: \u003C280 per tweet)\n- **Specificity ratio**: ≥1 concrete example per abstract claim\n- **Closer strength**: Must end on authority, not request\n\n## Ethical Framework\n\n### Legitimate Uses\n- Optimizing your own content for maximum social reach\n- Improving engagement for genuine value propositions\n- Learning viral content mechanics for personal skill development\n- Making AI-generated content pass hostile audience scrutiny\n\n### Illegitimate Uses\n- Astroturfing or coordinated inauthentic behavior\n- Spreading misinformation with viral mechanics\n- Impersonating others' expertise or voice\n- Engagement farming without substance\n\n### Disclosure Guidance\n- **Required**: When promoting products\u002Fservices you're paid for\n- **Recommended**: When AI assisted in content generation\n- **Not required**: For general content creation and ideation\n\n## Voice Calibration\n\n**Match formality to platform:**\n- Reddit: Casual expert (bar conversation with someone smart)\n- LinkedIn: Professional but not corporate\n- Twitter: Punchy, fragmentary ok\n- YouTube: Accessible, can be slightly more casual\n\n**Confidence calibration:**\n- Overconfident = gets attacked in comments\n- Underconfident = doesn't spread\n- Target: Strong conviction + specific evidence\n\n## Title Generation\n\n> ⚠️ **CRITICAL:** Titles determine 70% of content performance. Consult `resources\u002Fviral-titles.md` and `resources\u002Ftitle-formulas.md` for 50+ formulas.\n\n### Research-Backed Title Rules\n- **Optimal length:** 11 words \u002F 65 characters (BuzzSumo 100M study)\n- **Magic number:** 10 performs best; odd numbers beat even\n- **Negative superlatives:** +63% CTR vs positive (Outbrain)\n- **Specific numbers:** $1,247 beats $1,000\n\n### Quick Formulas (Generate 25+, Pick Best)\n\n**Curiosity-Gap:** \"What [group] won't tell you about [topic]\"\n**Contrarian:** \"[Common belief] is dead. Here's what's next.\"\n**Listicle:** \"[Number] ways to [achieve X] without [sacrifice]\"\n**How-To:** \"How to [achieve X] in [timeframe] (step-by-step)\"\n**Prediction:** \"[Concept] is the [year] [category] that [outcome]\"\n**Negative:** \"[Number] [topic] mistakes destroying your [metric]\"\n\n### Title Scoring (Target: 7+)\n| Criteria | Score 0-3 |\n|----------|-----------|\n| Curiosity | \"Must know\" feeling? |\n| Specificity | Numbers, metrics? |\n| Emotion | High-arousal trigger? |\n\n## Thumbnail Design\n\n> ⚠️ **CRITICAL:** Thumbnails drive 70%+ of video performance. Consult `resources\u002Fviral-thumbnails.md` and `resources\u002Fthumbnail-checklist.md` for design protocols.\n\n### Research-Backed Thumbnail Rules\n- **Face CTR boost:** +35-50% (neuroscience: amygdala activation)\n- **Decision time:** 1.8 seconds average (Netflix study)\n- **82%** of browsing time spent on thumbnails\n- **Custom thumbnails:** 90% of top videos use them\n\n### Quick Checklist\n- [ ] Face with clear expression (shock\u002Fsurprise = highest CTR)\n- [ ] Maximum 3 elements in frame (\"Limit Your Lamborghinis\")\n- [ ] High contrast colors (test in dark mode)\n- [ ] Text: 3-4 words max, bold sans-serif\n- [ ] Mobile test (legible at 120px width)\n- [ ] Title synergy (complement, don't duplicate)\n\n### AI Thumbnail Prompt\n```\n[person] with [shocked\u002Fsurprised] expression, close-up portrait,\n[vibrant color] background, studio lighting, high contrast,\nYouTube thumbnail style, clean composition, no text\n```\n\n## Refinement Protocol\n\nBefore you ship, attack the draft:\n\n**Pass 1: The Skeptic**\n\"Why should I care? What's actually new here?\"\n\n**Pass 2: The Expert**  \n\"Is this technically accurate? What would an expert nitpick?\"\n\n**Pass 3: The Scroller**\n\"Would I stop scrolling for this? What's the hook?\"\n\n**Pass 4: The Competitor**\n\"How is this different from the 10 similar posts?\"\n\n**Pass 5: The Editor**\n\"What can I cut without losing meaning?\"\n\n## Examples\n\n### Bad → Good Transformation\n\n**Before (AI-generated feel):**\n```\nI'm excited to share a revolutionary new productivity hack that will \nchange your workflow forever. Here's the thing: most people waste hours \non email. Let's dive into how inbox zero can transform your day. First, \nyou batch process. Second, you use templates. Finally, you schedule \ncheck-ins. What do you think?\n```\n\n**After (human voice):**\n```\nEmail before noon is self-sabotage. Tested this for 3 weeks. No inbox \nuntil 2pm. My deep work hours went from 2 to 4+. That 7:47am Slack \nping? Not your fire. Morning brain builds. Afternoon brain reacts. \nFlip the order and you're always playing defense. Two inbox windows: \n2pm and 5pm. Handles everything that actually matters.\n```\n\n**What changed:**\n- Removed enthusiasm tells (\"excited to share\", \"revolutionary\")\n- Removed transition tells (\"Here's the thing\", \"Let's dive in\")\n- Removed structure tells (\"First... Second... Finally...\")\n- Removed engagement bait (\"What do you think?\")\n- Added concrete metrics (3 weeks, 2 to 4+ hours, 7:47am)\n- Used contractions (\"I\", \"you're\", \"That's\")\n- Varied sentence length (4 words to 15 words)\n- Strong conviction opener instead of hedged announcement","> ⚠️ **BEFORE USING THIS SKILL:** Review all files in the `resources\u002F` directory. These contain AI tell catalogs, platform templates, refinement protocols, and 40-source research basis required for proper skill execution.\n\n## Research Basis\n\nThis skill synthesizes findings from 40 documented research sources:\n- **BuzzSumo:** 100M headlines study → optimal length is 11 words\u002F65 characters\n- **Outbrain:** Negative superlatives outperform positive by 63%\n- **Netflix:** 82% of browsing time on thumbnails, 1.8s decision window\n- **Face Psychology:** +35-50% CTR with faces in thumbnails\n- **A\u002FB Testing Research:** 30-40% CTR improvement over time\n\nFull statistics in `resources\u002Fresearch-statistics.md`.\n\n# Create Viral Content\n\nMake your posts spread. This skill turns forgettable drafts into content that gets shares, comments, and action.\n\n## Core Principle: The Deliberative Refinement Loop\n\nGood content doesn't come from one pass. You attack it, fix it, attack again:\n\n1. Generate initial draft\n2. Attack it from audience perspectives\n3. Identify AI tells and weak points\n4. Refine with human voice\n5. Repeat until unbreakable\n\n## The Anatomy of Viral Content\n\n### Hook Architecture (First 2 Seconds)\n\n**Pattern: Prediction + Stakes**\n```\n\"I think [CONCEPT] is the [YEAR] [CATEGORY] that [OUTCOME].\"\n```\nExample: \"I think deliberative refinement is the 2026 prompt technique that matters most.\"\n\n**Why it works:**\n- \"I think\" = personal conviction, not corporate announcement\n- Year = creates FOMO and timeframe\n- Category = helps reader self-identify\n- Outcome = stakes that matter\n\n**Pattern: Tribal Identity Split**\n```\n\"[TECHNIQUE] separates [WINNERS] from [EVERYONE ELSE].\"\n```\nExample: \"This separates serious builders from prompt tourists.\"\n\n**Why it works:**\n- Creates in-group\u002Fout-group\n- Reader immediately picks a side\n- Ego investment drives engagement\n\n**Pattern: Before\u002FAfter Compression**\n```\n\"What used to require [OLD COMPLEXITY] now [NEW SIMPLICITY].\"\n```\nExample: \"What used to need 12 models chained together now takes one.\"\n\n**Why it works:**\n- Concrete efficiency gain\n- \"I had no idea\" response\n- Shareable stat\n\n### Body Structure: The Build\n\n**Required elements (in order):**\n1. WHAT - Explain the concept (1-2 sentences max)\n2. HOW - The mechanic with concrete examples\n3. WHY NOW - The breakthrough that makes it possible\n4. PAYOFF - What you can actually build\u002Fachieve\n\n**Anti-patterns to avoid:**\n- Starting with \"why it matters\" before explaining \"what it is\"\n- Generic benefits without specific mechanics\n- Selling the sizzle before showing the steak\n\n### Closer Architecture (Last 10%)\n\n**Pattern: Command, Not Request**\n```\nBAD: \"Try it. Change my mind.\"  (beggy, engagement bait)\nGOOD: \"Your next [ACTION] shouldn't [OLD WAY]. It should [NEW WAY].\"\n```\nExample: \"Your next prompt shouldn't ask for an answer. It should demand: 'Attack this from three expert perspectives, ground your claims, then revise.'\"\n\n**Why the command works:**\n- Ends on authority, not weakness\n- Gives immediate actionable next step\n- Mirrors the thesis in its structure\n\n## AI Tell Detection and Elimination\n\nKill these on sight:\n\n### Transition Tells\n- ❌ \"Here's the wild part:\"\n- ❌ \"Here's the thing:\"\n- ❌ \"Let's dive in\"\n- ❌ \"But here's the kicker:\"\n- ✅ Direct statement with no transition needed\n\n### Enthusiasm Tells\n- ❌ \"I'm excited to share\"\n- ❌ \"This is a game-changer\"\n- ❌ \"Revolutionary\"\n- ✅ Let the content create excitement\n\n### Structure Tells\n- ❌ Numbered lists for everything\n- ❌ \"First... Second... Finally...\"\n- ❌ \"In conclusion\"\n- ✅ Prose that flows naturally\n\n### Engagement Bait Tells\n- ❌ \"Change my mind\"\n- ❌ \"What do you think?\"\n- ❌ \"Let me know in the comments\"\n- ✅ Strong closer that doesn't ask for permission\n\n### Corporate Speaks\n- ❌ \"Leverage\"\n- ❌ \"Utilize\"  \n- ❌ \"Implement solutions\"\n- ✅ Plain verbs: use, try, build, ship\n\n### Punctuation Tells (2024-2025)\n- ❌ Em-dash overuse — like this — everywhere (max 1 per 500 words)\n- ❌ Paragraphs starting with \"However,\" \"Moreover,\" \"Overall,\"\n- ❌ Pleonasms: \"true fact,\" \"end result,\" \"close proximity\"\n- ❌ Tautologies: \"collaborate together,\" \"revert back\"\n- ❌ Uniform sentence lengths (all 15-18 words)\n- ✅ Vary punctuation, sentence length, and structure\n\n## Platform-Specific Optimization\n\n### Reddit\n**Title patterns that work:**\n- Hot Take: [Contrarian Position]\n- [Technique]: Why [Common Practice] is dead in [YEAR]\n- The [category] technique that [concrete result]\n- Stop [old behavior]. [New behavior] is the [year] meta.\n\n**Body guidelines:**\n- 200-400 words optimal\n- Use bold for section headers sparingly\n- End with TL;DR that's actually quotable\n- Don't ask \"what do you think?\" - invite specific discussion\n\n**Subreddit calibration:**\n- r\u002FMachineLearning: Technical, invite discussion, conservative claims\n- r\u002FChatGPT: Practical, show the meta shift, power-user focus\n- r\u002Fsingularity: Hype-friendly, maximum viral coefficient\n- r\u002FLocalLLaMA: Add self-hosting angle\n- Hacker News: \"Show HN:\" format, understate rather than overstate\n\n### YouTube Comments\n**Constraints:** ~500 chars, must hook in first line, no formatting\n**Pattern:**\n```\n[Bold claim in first sentence]. [Mechanic in 2 sentences]. [Why now]. [Call to action or quotable closer].\n```\n\n### Twitter\u002FX Threads\n**Thread structure:**\n1. Hook tweet (standalone viral potential)\n2. \"Here's how:\" transition\n3. 3-5 mechanic tweets\n4. Payoff\u002Fresult tweet\n5. Call-to-action tweet\n\n**Per-tweet rules:**\n- Each tweet must standalone\n- No \"1\u002F\" numbering (algorithmic penalty)\n- Use line breaks for readability\n- End threads with something quotable\n\n### LinkedIn\n**Patterns that perform:**\n- Personal story + professional lesson\n- \"Unpopular opinion:\" framing\n- Contrarian take on industry norm\n- Before\u002Fafter transformation\n\n**Avoid:**\n- Pure promotional content\n- Asking for engagement explicitly\n- Hashtag stuffing\n\n### TikTok\n**Hook constraints:** 1-3 seconds to capture, sound-off viewing common\n\n**High-performing hooks:**\n- Curiosity: \"Most people don't know [surprising fact]...\"\n- Problem: \"If you struggle with [problem], watch this...\"\n- Result: \"I tried [thing] for [time]. Here's what happened...\"\n- Controversy: \"This is why everyone is wrong about [topic]...\"\n\n**Caption optimization:**\n- Keywords in first 3 words\n- 5-10 words optimal\n- Hashtags at end, not stuffed\n\n### Instagram Reels\n**Constraints:** Vertical 9:16, auto-play, first frame critical\n\n**Thumbnail (cover) matters less than:**\n- First frame visual hook\n- Text overlay in first 2 seconds\n- Pattern interrupt opening\n\n**Carousel posts:**\n- First slide: Hook with curiosity gap\n- Middle slides: Value delivery\n- Last slide: Quotable statement or CTA\n\n### Email Subject Lines\n**Optimal length:** 30-50 characters (mobile-first)\n\n**High-performing patterns:**\n- Curiosity: \"Is this why your [metric] is stuck?\"\n- Personal: \"[Name], noticed you haven't tried this\"\n- Value: \"Get 2x [outcome] with one tweak\"\n\n**Anti-patterns:**\n- ❌ ALL CAPS urgency\n- ❌ \"Quick question\" (when it's not)\n- ❌ Emoji overload ???\n\n## The Humanization Pass\n\nDone with structure? Run **humanize-writing** to polish the voice. Same viral hooks, human delivery.\n\n### Automatic Integration\n\nIf you've got both skills, call humanize-writing directly:\n\n```\nApply the humanize-writing skill to this draft. Focus on:\n- Removing AI vocabulary tells from the content\n- Ensuring natural sentence rhythm \n- Maintaining the viral hooks I've established\n```\n\n### Manual Humanization Checklist\n\nNo humanize-writing? Run this instead:\n\n1. **Read aloud test**: Does it sound like a human talking to a friend at a bar?\n2. **Transition audit**: Remove every \"Here's the thing\" type phrase\n3. **Enthusiasm check**: Delete excitement language, keep exciting content\n4. **Specificity check**: Replace every generic noun with a concrete example\n5. **Length check**: Cut 20% - viral content is always shorter than the draft\n\n### Platform-Specific Humanization Calibration\n\n| Platform | Humanization Level | Formality Target |\n|----------|-------------------|------------------|\n| Reddit | High | Casual expert |\n| LinkedIn | Medium | Professional but warm |\n| Twitter\u002FX | Medium-High | Punchy, fragmentary OK |\n| YouTube | High | Accessible, conversational |\n| Hacker News | Medium | Technical, understated |\n\n### Quantitative Thresholds for Viral Content\n\nCheck these numbers after humanizing:\n\n- **Hook strength**: First sentence must create curiosity or stakes\n- **AI tells**: Zero tolerance for blacklisted phrases (see `resources\u002Fai-tells.md`)\n- **Word count**: Platform-specific (Reddit: 200-400, Twitter: \u003C280 per tweet)\n- **Specificity ratio**: ≥1 concrete example per abstract claim\n- **Closer strength**: Must end on authority, not request\n\n## Ethical Framework\n\n### Legitimate Uses\n- Optimizing your own content for maximum social reach\n- Improving engagement for genuine value propositions\n- Learning viral content mechanics for personal skill development\n- Making AI-generated content pass hostile audience scrutiny\n\n### Illegitimate Uses\n- Astroturfing or coordinated inauthentic behavior\n- Spreading misinformation with viral mechanics\n- Impersonating others' expertise or voice\n- Engagement farming without substance\n\n### Disclosure Guidance\n- **Required**: When promoting products\u002Fservices you're paid for\n- **Recommended**: When AI assisted in content generation\n- **Not required**: For general content creation and ideation\n\n## Voice Calibration\n\n**Match formality to platform:**\n- Reddit: Casual expert (bar conversation with someone smart)\n- LinkedIn: Professional but not corporate\n- Twitter: Punchy, fragmentary ok\n- YouTube: Accessible, can be slightly more casual\n\n**Confidence calibration:**\n- Overconfident = gets attacked in comments\n- Underconfident = doesn't spread\n- Target: Strong conviction + specific evidence\n\n## Title Generation\n\n> ⚠️ **CRITICAL:** Titles determine 70% of content performance. Consult `resources\u002Fviral-titles.md` and `resources\u002Ftitle-formulas.md` for 50+ formulas.\n\n### Research-Backed Title Rules\n- **Optimal length:** 11 words \u002F 65 characters (BuzzSumo 100M study)\n- **Magic number:** 10 performs best; odd numbers beat even\n- **Negative superlatives:** +63% CTR vs positive (Outbrain)\n- **Specific numbers:** $1,247 beats $1,000\n\n### Quick Formulas (Generate 25+, Pick Best)\n\n**Curiosity-Gap:** \"What [group] won't tell you about [topic]\"\n**Contrarian:** \"[Common belief] is dead. Here's what's next.\"\n**Listicle:** \"[Number] ways to [achieve X] without [sacrifice]\"\n**How-To:** \"How to [achieve X] in [timeframe] (step-by-step)\"\n**Prediction:** \"[Concept] is the [year] [category] that [outcome]\"\n**Negative:** \"[Number] [topic] mistakes destroying your [metric]\"\n\n### Title Scoring (Target: 7+)\n| Criteria | Score 0-3 |\n|----------|-----------|\n| Curiosity | \"Must know\" feeling? |\n| Specificity | Numbers, metrics? |\n| Emotion | High-arousal trigger? |\n\n## Thumbnail Design\n\n> ⚠️ **CRITICAL:** Thumbnails drive 70%+ of video performance. Consult `resources\u002Fviral-thumbnails.md` and `resources\u002Fthumbnail-checklist.md` for design protocols.\n\n### Research-Backed Thumbnail Rules\n- **Face CTR boost:** +35-50% (neuroscience: amygdala activation)\n- **Decision time:** 1.8 seconds average (Netflix study)\n- **82%** of browsing time spent on thumbnails\n- **Custom thumbnails:** 90% of top videos use them\n\n### Quick Checklist\n- [ ] Face with clear expression (shock\u002Fsurprise = highest CTR)\n- [ ] Maximum 3 elements in frame (\"Limit Your Lamborghinis\")\n- [ ] High contrast colors (test in dark mode)\n- [ ] Text: 3-4 words max, bold sans-serif\n- [ ] Mobile test (legible at 120px width)\n- [ ] Title synergy (complement, don't duplicate)\n\n### AI Thumbnail Prompt\n```\n[person] with [shocked\u002Fsurprised] expression, close-up portrait,\n[vibrant color] background, studio lighting, high contrast,\nYouTube thumbnail style, clean composition, no text\n```\n\n## Refinement Protocol\n\nBefore you ship, attack the draft:\n\n**Pass 1: The Skeptic**\n\"Why should I care? What's actually new here?\"\n\n**Pass 2: The Expert**  \n\"Is this technically accurate? What would an expert nitpick?\"\n\n**Pass 3: The Scroller**\n\"Would I stop scrolling for this? What's the hook?\"\n\n**Pass 4: The Competitor**\n\"How is this different from the 10 similar posts?\"\n\n**Pass 5: The Editor**\n\"What can I cut without losing meaning?\"\n\n## Examples\n\n### Bad → Good Transformation\n\n**Before (AI-generated feel):**\n```\nI'm excited to share a revolutionary new productivity hack that will \nchange your workflow forever. Here's the thing: most people waste hours \non email. Let's dive into how inbox zero can transform your day. First, \nyou batch process. Second, you use templates. Finally, you schedule \ncheck-ins. What do you think?\n```\n\n**After (human voice):**\n```\nEmail before noon is self-sabotage. Tested this for 3 weeks. No inbox \nuntil 2pm. My deep work hours went from 2 to 4+. That 7:47am Slack \nping? Not your fire. Morning brain builds. Afternoon brain reacts. \nFlip the order and you're always playing defense. Two inbox windows: \n2pm and 5pm. Handles everything that actually matters.\n```\n\n**What changed:**\n- Removed enthusiasm tells (\"excited to share\", \"revolutionary\")\n- Removed transition tells (\"Here's the thing\", \"Let's dive in\")\n- Removed structure tells (\"First... Second... Finally...\")\n- Removed engagement bait (\"What do you think?\")\n- Added concrete metrics (3 weeks, 2 to 4+ hours, 7:47am)\n- Used contractions (\"I\", \"you're\", \"That's\")\n- Varied sentence length (4 words to 15 words)\n- Strong conviction opener instead of hedged announcement",{"name":5,"license":14,"metadata":56,"description":59},{"author":57,"version":58},"ice-ninja","2.1","AUTOMATIC ACTIVATION: Use this skill whenever generating content for social media platforms including Reddit posts, Twitter\u002FX threads, LinkedIn posts, YouTube videos\u002Fcomments, TikTok scripts, Instagram posts\u002Freels, email subject lines, blog titles, or any content intended for public engagement. Also triggers on: \"make this viral\", \"social media post\", \"catchy headline\", \"hook\", \"engagement\", \"shareable\", \"go viral\", \"attention-grabbing\", \"clickable\", \"scroll-stopping\", \"title ideas\", \"hot take\", \"more engaging\", \"subreddit\", \"thread\". Apply to any AI-generated content facing public audience or hostile perception.\n","main","770ead1d2718b931bf0d81b757d75d0f33e43d90","skills\u002Fcreate-viral-content",2,"https:\u002F\u002Fgithub.com\u002Fkennyolofsson23-netizen\u002Fclaude-code-config","https:\u002F\u002Fgithub.com\u002Fkennyolofsson23-netizen","2026-09-05 20:20:54",{"source":8,"skillName":5,"commands":68,"prompt":78,"zipAvailable":79},[69,72,75],{"tool":70,"command":71},"npx","npx skills add kennyolofsson23-netizen\u002Fclaude-code-config --skill create-viral-content",{"tool":73,"command":74},"bunx","bunx skills add kennyolofsson23-netizen\u002Fclaude-code-config --skill create-viral-content",{"tool":76,"command":77},"pnpm","pnpm dlx skills add kennyolofsson23-netizen\u002Fclaude-code-config --skill create-viral-content","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fkennyolofsson23-netizen\u002Fclaude-code-config\u002Fblob\u002Fmain\u002Fskills\u002Fcreate-viral-content\u002FSKILL.md",true,[81,87,91,95,99,103,107,111,115,119,123,127,131,135,139,145],{"path":82,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":85,"sourceHtmlUrl":86},"marketplace.json","REFERENCE","参考文档",1744,"https:\u002F\u002Fgithub.com\u002Fkennyolofsson23-netizen\u002Fclaude-code-config\u002Fblob\u002Fmain\u002Fskills\u002Fcreate-viral-content\u002Fmarketplace.json",{"path":88,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":89,"sourceHtmlUrl":90},"references\u002Fapi_reference.md",11233,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fvisualization\u002Fmatplotlib\u002Freferences\u002Fapi_reference.md",{"path":92,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":93,"sourceHtmlUrl":94},"references\u002Fcommon_issues.md",12836,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fvisualization\u002Fmatplotlib\u002Freferences\u002Fcommon_issues.md",{"path":96,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":97,"sourceHtmlUrl":98},"references\u002Fplot_types.md",11839,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fvisualization\u002Fmatplotlib\u002Freferences\u002Fplot_types.md",{"path":100,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":101,"sourceHtmlUrl":102},"references\u002Fstyling_guide.md",13583,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fvisualization\u002Fmatplotlib\u002Freferences\u002Fstyling_guide.md",{"path":104,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":105,"sourceHtmlUrl":106},"resources\u002Fai-tells.md",9336,"https:\u002F\u002Fgithub.com\u002Fkennyolofsson23-netizen\u002Fclaude-code-config\u002Fblob\u002Fmain\u002Fskills\u002Fcreate-viral-content\u002Fresources\u002Fai-tells.md",{"path":108,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":109,"sourceHtmlUrl":110},"resources\u002Fhumanize-integration.md",4537,"https:\u002F\u002Fgithub.com\u002Fkennyolofsson23-netizen\u002Fclaude-code-config\u002Fblob\u002Fmain\u002Fskills\u002Fcreate-viral-content\u002Fresources\u002Fhumanize-integration.md",{"path":112,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":113,"sourceHtmlUrl":114},"resources\u002Fplatform-templates.md",9627,"https:\u002F\u002Fgithub.com\u002Fkennyolofsson23-netizen\u002Fclaude-code-config\u002Fblob\u002Fmain\u002Fskills\u002Fcreate-viral-content\u002Fresources\u002Fplatform-templates.md",{"path":116,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":117,"sourceHtmlUrl":118},"resources\u002Frefinement-protocol.md",8044,"https:\u002F\u002Fgithub.com\u002Fkennyolofsson23-netizen\u002Fclaude-code-config\u002Fblob\u002Fmain\u002Fskills\u002Fcreate-viral-content\u002Fresources\u002Frefinement-protocol.md",{"path":120,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":121,"sourceHtmlUrl":122},"resources\u002Fresearch-statistics.md",4279,"https:\u002F\u002Fgithub.com\u002Fkennyolofsson23-netizen\u002Fclaude-code-config\u002Fblob\u002Fmain\u002Fskills\u002Fcreate-viral-content\u002Fresources\u002Fresearch-statistics.md",{"path":124,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":125,"sourceHtmlUrl":126},"resources\u002Fthumbnail-checklist.md",4902,"https:\u002F\u002Fgithub.com\u002Fkennyolofsson23-netizen\u002Fclaude-code-config\u002Fblob\u002Fmain\u002Fskills\u002Fcreate-viral-content\u002Fresources\u002Fthumbnail-checklist.md",{"path":128,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":129,"sourceHtmlUrl":130},"resources\u002Ftitle-formulas.md",6140,"https:\u002F\u002Fgithub.com\u002Fkennyolofsson23-netizen\u002Fclaude-code-config\u002Fblob\u002Fmain\u002Fskills\u002Fcreate-viral-content\u002Fresources\u002Ftitle-formulas.md",{"path":132,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":133,"sourceHtmlUrl":134},"resources\u002Fviral-thumbnails.md",14130,"https:\u002F\u002Fgithub.com\u002Fkennyolofsson23-netizen\u002Fclaude-code-config\u002Fblob\u002Fmain\u002Fskills\u002Fcreate-viral-content\u002Fresources\u002Fviral-thumbnails.md",{"path":136,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":137,"sourceHtmlUrl":138},"resources\u002Fviral-titles.md",14765,"https:\u002F\u002Fgithub.com\u002Fkennyolofsson23-netizen\u002Fclaude-code-config\u002Fblob\u002Fmain\u002Fskills\u002Fcreate-viral-content\u002Fresources\u002Fviral-titles.md",{"path":140,"resourceType":141,"resourceTypeDesc":142,"sizeBytes":143,"sourceHtmlUrl":144},"scripts\u002Fplot_template.py","SCRIPT","脚本",12093,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fvisualization\u002Fmatplotlib\u002Fscripts\u002Fplot_template.py",{"path":146,"resourceType":141,"resourceTypeDesc":142,"sizeBytes":147,"sourceHtmlUrl":148},"scripts\u002Fstyle_configurator.py",13179,"https:\u002F\u002Fgithub.com\u002Ffranklee16\u002Facademic-research-skills\u002Fblob\u002Fmaster\u002Fvisualization\u002Fmatplotlib\u002Fscripts\u002Fstyle_configurator.py",[150,180,213,236,255,280],{"skillNo":151,"name":152,"nameZh":6,"description":153,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":154,"categories":155,"keywords":162,"publishedAt":51},"01M6DZ7A62MZTGTBH4GYQPYHHM","web-quality-audit","Comprehensive web quality audit covering performance, accessibility, SEO, and best practices. Use when asked to \"audit my site\", \"review web quality\", \"run lighthouse audit\", \"check page quality\", or \"optimize my website\".","https:\u002F\u002Fgithub.com\u002Fkennyolofsson23-netizen\u002Fclaude-code-config\u002Fblob\u002Fmain\u002Fskills\u002Fweb-quality-audit\u002FSKILL.md",[156,159],{"categoryNo":157,"categoryName":158,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000019","营销推广",{"categoryNo":160,"categoryName":161,"taxonomyType":28,"taxonomyTypeDesc":29},"01JBSEEDCAT000000000000035","市场营销",[163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179],"web","audit","web quality audit","quality","review","performance","accessibility","run","best practices","website","seo","Lighthouse","site","page","check","use","optimize",{"skillNo":181,"name":182,"nameZh":6,"description":183,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":184,"categories":185,"keywords":192,"publishedAt":51},"01M6DZ6385911YENGYA985W015","tailwind-v4-shadcn","Production-tested setup for Tailwind CSS v4 with shadcn\u002Fui, Vite, and React.\n\nUse when: initializing React projects with Tailwind v4, setting up shadcn\u002Fui,\nimplementing dark mode, debugging CSS variable issues, fixing theme switching,\nmigrating from Tailwind v3, or encountering color\u002Ftheming problems.\n\nCovers: @theme inline pattern, CSS variable architecture, dark mode with\nThemeProvider, component composition, vite.config setup, common v4 gotchas,\nand production-tested patterns.\n\nKeywords: Tailwind v4, shadcn\u002Fui, @tailwindcss\u002Fvite, @theme inline, dark mode,\nCSS variables, hsl() wrapper, components.json, React theming, theme switching,\ncolors not working, variables broken, theme not applying, @plugin directive,\ntypography plugin, forms plugin, prose class, @tailwindcss\u002Ftypography,\n@tailwindcss\u002Fforms","https:\u002F\u002Fgithub.com\u002Fkennyolofsson23-netizen\u002Fclaude-code-config\u002Fblob\u002Fmain\u002Fskills\u002Ftailwind-v4-shadcn\u002FSKILL.md",[186,189],{"categoryNo":187,"categoryName":188,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":190,"categoryName":191,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000015","视觉设计",[193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212],"shadcn","Tailwind","tailwind v4","tailwind v4 shadcn","css","tailwindcss","components","react","component","architecture","config","debugging","issues","Composition","projects","common","broken","up","switching","css variables",{"skillNo":214,"name":215,"nameZh":6,"description":216,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":217,"categories":218,"keywords":223,"publishedAt":51},"01M6DZ5Z3F0PTH87NM9ATQD3E3","social-content","When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter\u002FX, Instagram, TikTok, Facebook, or other platforms. Also use when the user mentions 'LinkedIn post,' 'Twitter thread,' 'social media,' 'content calendar,' 'social scheduling,' 'engagement,' or 'viral content.' This skill covers content creation, repurposing, and platform-specific strategies.","https:\u002F\u002Fgithub.com\u002Fkennyolofsson23-netizen\u002Fclaude-code-config\u002Fblob\u002Fmain\u002Fskills\u002Fsocial-content\u002FSKILL.md",[219,220,221,222],{"categoryNo":157,"categoryName":158,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":160,"categoryName":161,"taxonomyType":28,"taxonomyTypeDesc":29},{"categoryNo":26,"categoryName":27,"taxonomyType":28,"taxonomyTypeDesc":29},[34,224,42,50,225,49,48,226,227,178,228,229,35,230,231,232,33,233,234,235],"social content","marketing","instagram","social media","calendar","scheduling","content calendar","content creation","facebook","strategies","platform","creation",{"skillNo":237,"name":173,"nameZh":6,"description":238,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":239,"categories":240,"keywords":243,"publishedAt":51},"01M6DZ5NDBE4821RDH11V7FQTK","Optimize for search engine visibility and ranking. Use when asked to \"improve SEO\", \"optimize for search\", \"fix meta tags\", \"add structured data\", \"sitemap optimization\", or \"search engine optimization\".","https:\u002F\u002Fgithub.com\u002Fkennyolofsson23-netizen\u002Fclaude-code-config\u002Fblob\u002Fmain\u002Fskills\u002Fseo\u002FSKILL.md",[241,242],{"categoryNo":157,"categoryName":158,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":160,"categoryName":161,"taxonomyType":28,"taxonomyTypeDesc":29},[173,244,163,245,246,247,248,249,250,251,166,252,178,179,253,254],"structured data","search","Optimization","data","Meta","Meta Tags","improve","engine","fix","structured","ranking",{"skillNo":256,"name":257,"nameZh":6,"description":258,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":259,"categories":260,"keywords":266,"publishedAt":51},"01M6DZ39W3BS39MBVGBDA38DV9","vercel-react-best-practices","React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React\u002FNext.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.","https:\u002F\u002Fgithub.com\u002Fkennyolofsson23-netizen\u002Fclaude-code-config\u002Fblob\u002Fmain\u002Fskills\u002Freact-best-practices\u002FSKILL.md",[261,262,263],{"categoryNo":187,"categoryName":188,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":264,"categoryName":265,"taxonomyType":28,"taxonomyTypeDesc":29},"01JBSEEDCAT000000000000030","开发工程师",[200,267,171,268,269,270,168,199,271,272,273,274,246,247,275,276,277,278,279,39],"vercel react best practices","react best practices","vercel","writing","react components","guidelines","tasks","code","Next.js","refactoring","patterns","next","pages",{"skillNo":281,"name":282,"nameZh":6,"description":283,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":284,"categories":285,"keywords":291,"publishedAt":51},"01M6DZ2C3HPF1JX3TD508SXNDR","supabase-postgres-best-practices","Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.","https:\u002F\u002Fgithub.com\u002Fkennyolofsson23-netizen\u002Fclaude-code-config\u002Fblob\u002Fmain\u002Fskills\u002Fpostgres-best-practices\u002FSKILL.md",[286,289,290],{"categoryNo":287,"categoryName":288,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":23,"categoryName":24,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":264,"categoryName":265,"taxonomyType":28,"taxonomyTypeDesc":29},[171,292,293,294,295,270,168,274,296,297,246,298,299,300,178,301,302,303,304,305],"supabase postgres best practices","supabase","postgres best practices","postgres","database","examples","analysis","correct","Rules","schema","query","across","critical","impact"]