[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7AED8RF8KZRTJSZHCC5EM52":3,"skill-same:01M7AED8RF8KZRTJSZHCC5EM52":86},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":29,"commitSha":30,"skillDirectory":31,"forksCount":32,"repositoryHtmlUrl":33,"repositoryHomepageUrl":6,"ownerHtmlUrl":34,"ownerBlogUrl":35,"ownerDescription":36,"updatedAt":37,"install":38,"resources":51},"01M7AED8RF8KZRTJSZHCC5EM52","x-twitter-growth",null,"X\u002FTwitter growth engine for building audience, crafting viral content, and analyzing engagement. Use when the user wants to grow on X\u002FTwitter, write tweets or threads, analyze their X profile, research competitors on X, plan a posting strategy, or optimize engagement. Complements social-content (generic multi-platform) with X-specific depth: algorithm mechanics, thread engineering, reply strategy, profile optimization, and competitive intelligence via web search.","MHassan0000\u002FSkills","MHassan0000","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F224296448?v=4","01M7A14DTC1EZCRN04582533RD","Muhammad Hassan Yousaf","01M7A14DV10KTW8NHQTJPD08X0",1,"MIT","https:\u002F\u002Fgithub.com\u002FMHassan0000\u002FSkills\u002Fblob\u002Fmain\u002FClaude\u002Fclaude-skills\u002Fmarketing-skill\u002Fskills\u002Fx-twitter-growth\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: \"x-twitter-growth\"\ndescription: \"X\u002FTwitter growth engine for building audience, crafting viral content, and analyzing engagement. Use when the user wants to grow on X\u002FTwitter, write tweets or threads, analyze their X profile, research competitors on X, plan a posting strategy, or optimize engagement. Complements social-content (generic multi-platform) with X-specific depth: algorithm mechanics, thread engineering, reply strategy, profile optimization, and competitive intelligence via web search.\"\nlicense: MIT\nmetadata:\n  version: 1.0.0\n  author: Alireza Rezvani\n  category: marketing\n  updated: 2026-03-10\n---\n\n# X\u002FTwitter Growth Engine\n\nX-specific growth skill. For general social media content across platforms, see `social-content`. For social strategy and calendar planning, see `social-media-manager`. This skill goes deep on X.\n\n## When to Use This vs Other Skills\n\n| Need | Use |\n|------|-----|\n| Write a tweet or thread | **This skill** |\n| Plan content across LinkedIn + X + Instagram | social-content |\n| Analyze engagement metrics across platforms | social-media-analyzer |\n| Build overall social strategy | social-media-manager |\n| X-specific growth, algorithm, competitive intel | **This skill** |\n\n---\n\n## Step 1 — Profile Audit\n\nBefore any growth work, audit the current X presence. Run `scripts\u002Fprofile_auditor.py` with the handle, or manually assess:\n\n### Bio Checklist\n- [ ] Clear value proposition in first line (who you help + how)\n- [ ] Specific niche — not \"entrepreneur | thinker | builder\"\n- [ ] Social proof element (followers, title, metric, brand)\n- [ ] CTA or link (newsletter, product, site)\n- [ ] No hashtags in bio (signals amateur)\n\n### Pinned Tweet\n- [ ] Exists and is less than 30 days old\n- [ ] Showcases best work or strongest hook\n- [ ] Has clear CTA (follow, subscribe, read)\n\n### Recent Activity (last 30 posts)\n- [ ] Posting frequency: minimum 1x\u002Fday, ideal 3-5x\u002Fday\n- [ ] Mix of formats: tweets, threads, replies, quotes\n- [ ] Reply ratio: >30% of activity should be replies\n- [ ] Engagement trend: improving, flat, or declining\n\nRun: `python3 scripts\u002Fprofile_auditor.py --handle @username`\n\n---\n\n## Step 2 — Competitive Intelligence\n\nResearch competitors and successful accounts in your niche using web search.\n\n### Process\n1. Search `site:x.com \"topic\" min_faves:100` via Brave to find high-performing content\n2. Identify 5-10 accounts in your niche with strong engagement\n3. For each, analyze: posting frequency, content types, hook patterns, engagement rates\n4. Run: `python3 scripts\u002Fcompetitor_analyzer.py --handles @acc1 @acc2 @acc3`\n\n### What to Extract\n- **Hook patterns** — How do top posts start? Question? Bold claim? Statistic?\n- **Content themes** — What 3-5 topics get the most engagement?\n- **Format mix** — Ratio of tweets vs threads vs replies vs quotes\n- **Posting times** — When do their best posts go out?\n- **Engagement triggers** — What makes people reply vs like vs retweet?\n\n---\n\n## Step 3 — Content Creation\n\n### Tweet Types (ordered by growth impact)\n\n#### 1. Threads (highest reach, highest follow conversion)\n```\nStructure:\n- Tweet 1: Hook — must stop the scroll in \u003C7 words\n- Tweet 2: Context or promise (\"Here's what I learned:\")\n- Tweets 3-N: One idea per tweet, each standalone-worthy\n- Final tweet: Summary + explicit CTA (\"Follow @handle for more\")\n- Reply to tweet 1: Restate hook + \"Follow for more [topic]\"\n\nRules:\n- 5-12 tweets optimal (under 5 feels thin, over 12 loses people)\n- Each tweet should make sense if read alone\n- Use line breaks for readability\n- No tweet should be a wall of text (3-4 lines max)\n- Number the tweets or use \"↓\" in tweet 1\n```\n\n#### 2. Atomic Tweets (breadth, impression farming)\n```\nFormats that work:\n- Observation: \"[Thing] is underrated. Here's why:\"\n- Listicle: \"10 tools I use daily:\\n\\n1. X — for Y\"\n- Contrarian: \"Unpopular opinion: [statement]\"\n- Lesson: \"I [did X] for [time]. Biggest lesson:\"\n- Framework: \"[Concept] explained in 30 seconds:\"\n\nRules:\n- Under 200 characters gets more engagement\n- One idea per tweet\n- No links in tweet body (kills reach — put link in reply)\n- Question tweets drive replies (algorithm loves replies)\n```\n\n#### 3. Quote Tweets (authority building)\n```\nFormula: Original tweet + your unique take\n- Add data the original missed\n- Provide counterpoint or nuance\n- Share personal experience that validates\u002Fcontradicts\n- Never just say \"This\" or \"So true\"\n```\n\n#### 4. Replies (network growth, fastest path to visibility)\n```\nStrategy:\n- Reply to accounts 2-10x your size\n- Add genuine value, not \"great post!\"\n- Be first to reply on accounts with large audiences\n- Your reply IS your content — make it tweet-worthy\n- Controversial\u002Finsightful replies get quote-tweeted (free reach)\n```\n\nRun: `python3 scripts\u002Ftweet_composer.py --type thread --topic \"your topic\" --audience \"your audience\"`\n\n---\n\n## Step 4 — Algorithm Mechanics\n\n### What X rewards (2025-2026)\n| Signal | Weight | Action |\n|--------|--------|--------|\n| Replies received | Very high | Write reply-worthy content (questions, debates) |\n| Time spent reading | High | Threads, longer tweets with line breaks |\n| Profile visits from tweet | High | Curiosity gaps, tease expertise |\n| Bookmarks | High | Tactical, save-worthy content (lists, frameworks) |\n| Retweets\u002FQuotes | Medium | Shareable insights, bold takes |\n| Likes | Low-medium | Easy agreement, relatable content |\n| Link clicks | Low (penalized) | Never put links in tweet body — use reply |\n\n### What kills reach\n- Links in tweet body (put in first reply instead)\n- Editing tweets within 30 min of posting\n- Posting and immediately going offline (no early engagement)\n- More than 2 hashtags\n- Tagging people who don't engage back\n- Threads with inconsistent quality (one weak tweet tanks the whole thread)\n\n### Optimal Posting Cadence\n| Account size | Tweets\u002Fday | Threads\u002Fweek | Replies\u002Fday |\n|-------------|------------|--------------|-------------|\n| \u003C 1K followers | 2-3 | 1-2 | 10-20 |\n| 1K-10K | 3-5 | 2-3 | 5-15 |\n| 10K-50K | 3-7 | 2-4 | 5-10 |\n| 50K+ | 2-5 | 1-3 | 5-10 |\n\n---\n\n## Step 5 — Growth Playbook\n\n### Week 1-2: Foundation\n1. Optimize bio and pinned tweet (Step 1)\n2. Identify 20 accounts in your niche to engage with daily\n3. Reply 10-20 times per day to larger accounts (genuine value only)\n4. Post 2-3 atomic tweets per day testing different formats\n5. Publish 1 thread\n\n### Week 3-4: Pattern Recognition\n1. Review what formats got most engagement\n2. Double down on top 2 content formats\n3. Increase to 3-5 posts per day\n4. Publish 2-3 threads per week\n5. Start quote-tweeting relevant content daily\n\n### Month 2+: Scale\n1. Develop 3-5 recurring content series (e.g., \"Friday Framework\")\n2. Cross-pollinate: repurpose threads as LinkedIn posts, newsletter content\n3. Build reply relationships with 5-10 accounts your size (mutual engagement)\n4. Experiment with spaces\u002Faudio if relevant to niche\n5. Run: `python3 scripts\u002Fgrowth_tracker.py --handle @username --period 30d`\n\n---\n\n## Step 6 — Content Calendar Generation\n\nRun: `python3 scripts\u002Fcontent_planner.py --niche \"your niche\" --frequency 5 --weeks 2`\n\nGenerates a 2-week posting plan with:\n- Daily tweet topics with hook suggestions\n- Thread outlines (2-3 per week)\n- Reply targets (accounts to engage with)\n- Optimal posting times based on niche\n\n---\n\n## Scripts\n\n| Script | Purpose |\n|--------|---------|\n| `scripts\u002Fprofile_auditor.py` | Audit X profile: bio, pinned, activity patterns |\n| `scripts\u002Ftweet_composer.py` | Generate tweets\u002Fthreads with hook patterns |\n| `scripts\u002Fcompetitor_analyzer.py` | Analyze competitor accounts via web search |\n| `scripts\u002Fcontent_planner.py` | Generate weekly\u002Fmonthly content calendars |\n| `scripts\u002Fgrowth_tracker.py` | Track follower growth and engagement trends |\n\n## Common Pitfalls\n\n1. **Posting links directly** — Always put links in the first reply, never in the tweet body\n2. **Thread tweet 1 is weak** — If the hook doesn't stop scrolling, nothing else matters\n3. **Inconsistent posting** — Algorithm rewards daily consistency over occasional bangers\n4. **Only broadcasting** — Replies and engagement are 50%+ of growth, not just posting\n5. **Generic bio** — \"Helping people do things\" tells nobody anything\n6. **Copying formats without adapting** — What works for tech Twitter doesn't work for marketing Twitter\n\n## Related Skills\n\n- `social-content` — Multi-platform content creation\n- `social-media-manager` — Overall social strategy\n- `social-media-analyzer` — Cross-platform analytics\n- `content-production` — Long-form content that feeds X threads\n- `copywriting` — Headline and hook writing techniques\n","# X\u002FTwitter Growth Engine\n\nX-specific growth skill. For general social media content across platforms, see `social-content`. For social strategy and calendar planning, see `social-media-manager`. This skill goes deep on X.\n\n## When to Use This vs Other Skills\n\n| Need | Use |\n|------|-----|\n| Write a tweet or thread | **This skill** |\n| Plan content across LinkedIn + X + Instagram | social-content |\n| Analyze engagement metrics across platforms | social-media-analyzer |\n| Build overall social strategy | social-media-manager |\n| X-specific growth, algorithm, competitive intel | **This skill** |\n\n---\n\n## Step 1 — Profile Audit\n\nBefore any growth work, audit the current X presence. Run `scripts\u002Fprofile_auditor.py` with the handle, or manually assess:\n\n### Bio Checklist\n- [ ] Clear value proposition in first line (who you help + how)\n- [ ] Specific niche — not \"entrepreneur | thinker | builder\"\n- [ ] Social proof element (followers, title, metric, brand)\n- [ ] CTA or link (newsletter, product, site)\n- [ ] No hashtags in bio (signals amateur)\n\n### Pinned Tweet\n- [ ] Exists and is less than 30 days old\n- [ ] Showcases best work or strongest hook\n- [ ] Has clear CTA (follow, subscribe, read)\n\n### Recent Activity (last 30 posts)\n- [ ] Posting frequency: minimum 1x\u002Fday, ideal 3-5x\u002Fday\n- [ ] Mix of formats: tweets, threads, replies, quotes\n- [ ] Reply ratio: >30% of activity should be replies\n- [ ] Engagement trend: improving, flat, or declining\n\nRun: `python3 scripts\u002Fprofile_auditor.py --handle @username`\n\n---\n\n## Step 2 — Competitive Intelligence\n\nResearch competitors and successful accounts in your niche using web search.\n\n### Process\n1. Search `site:x.com \"topic\" min_faves:100` via Brave to find high-performing content\n2. Identify 5-10 accounts in your niche with strong engagement\n3. For each, analyze: posting frequency, content types, hook patterns, engagement rates\n4. Run: `python3 scripts\u002Fcompetitor_analyzer.py --handles @acc1 @acc2 @acc3`\n\n### What to Extract\n- **Hook patterns** — How do top posts start? Question? Bold claim? Statistic?\n- **Content themes** — What 3-5 topics get the most engagement?\n- **Format mix** — Ratio of tweets vs threads vs replies vs quotes\n- **Posting times** — When do their best posts go out?\n- **Engagement triggers** — What makes people reply vs like vs retweet?\n\n---\n\n## Step 3 — Content Creation\n\n### Tweet Types (ordered by growth impact)\n\n#### 1. Threads (highest reach, highest follow conversion)\n```\nStructure:\n- Tweet 1: Hook — must stop the scroll in \u003C7 words\n- Tweet 2: Context or promise (\"Here's what I learned:\")\n- Tweets 3-N: One idea per tweet, each standalone-worthy\n- Final tweet: Summary + explicit CTA (\"Follow @handle for more\")\n- Reply to tweet 1: Restate hook + \"Follow for more [topic]\"\n\nRules:\n- 5-12 tweets optimal (under 5 feels thin, over 12 loses people)\n- Each tweet should make sense if read alone\n- Use line breaks for readability\n- No tweet should be a wall of text (3-4 lines max)\n- Number the tweets or use \"↓\" in tweet 1\n```\n\n#### 2. Atomic Tweets (breadth, impression farming)\n```\nFormats that work:\n- Observation: \"[Thing] is underrated. Here's why:\"\n- Listicle: \"10 tools I use daily:\\n\\n1. X — for Y\"\n- Contrarian: \"Unpopular opinion: [statement]\"\n- Lesson: \"I [did X] for [time]. Biggest lesson:\"\n- Framework: \"[Concept] explained in 30 seconds:\"\n\nRules:\n- Under 200 characters gets more engagement\n- One idea per tweet\n- No links in tweet body (kills reach — put link in reply)\n- Question tweets drive replies (algorithm loves replies)\n```\n\n#### 3. Quote Tweets (authority building)\n```\nFormula: Original tweet + your unique take\n- Add data the original missed\n- Provide counterpoint or nuance\n- Share personal experience that validates\u002Fcontradicts\n- Never just say \"This\" or \"So true\"\n```\n\n#### 4. Replies (network growth, fastest path to visibility)\n```\nStrategy:\n- Reply to accounts 2-10x your size\n- Add genuine value, not \"great post!\"\n- Be first to reply on accounts with large audiences\n- Your reply IS your content — make it tweet-worthy\n- Controversial\u002Finsightful replies get quote-tweeted (free reach)\n```\n\nRun: `python3 scripts\u002Ftweet_composer.py --type thread --topic \"your topic\" --audience \"your audience\"`\n\n---\n\n## Step 4 — Algorithm Mechanics\n\n### What X rewards (2025-2026)\n| Signal | Weight | Action |\n|--------|--------|--------|\n| Replies received | Very high | Write reply-worthy content (questions, debates) |\n| Time spent reading | High | Threads, longer tweets with line breaks |\n| Profile visits from tweet | High | Curiosity gaps, tease expertise |\n| Bookmarks | High | Tactical, save-worthy content (lists, frameworks) |\n| Retweets\u002FQuotes | Medium | Shareable insights, bold takes |\n| Likes | Low-medium | Easy agreement, relatable content |\n| Link clicks | Low (penalized) | Never put links in tweet body — use reply |\n\n### What kills reach\n- Links in tweet body (put in first reply instead)\n- Editing tweets within 30 min of posting\n- Posting and immediately going offline (no early engagement)\n- More than 2 hashtags\n- Tagging people who don't engage back\n- Threads with inconsistent quality (one weak tweet tanks the whole thread)\n\n### Optimal Posting Cadence\n| Account size | Tweets\u002Fday | Threads\u002Fweek | Replies\u002Fday |\n|-------------|------------|--------------|-------------|\n| \u003C 1K followers | 2-3 | 1-2 | 10-20 |\n| 1K-10K | 3-5 | 2-3 | 5-15 |\n| 10K-50K | 3-7 | 2-4 | 5-10 |\n| 50K+ | 2-5 | 1-3 | 5-10 |\n\n---\n\n## Step 5 — Growth Playbook\n\n### Week 1-2: Foundation\n1. Optimize bio and pinned tweet (Step 1)\n2. Identify 20 accounts in your niche to engage with daily\n3. Reply 10-20 times per day to larger accounts (genuine value only)\n4. Post 2-3 atomic tweets per day testing different formats\n5. Publish 1 thread\n\n### Week 3-4: Pattern Recognition\n1. Review what formats got most engagement\n2. Double down on top 2 content formats\n3. Increase to 3-5 posts per day\n4. Publish 2-3 threads per week\n5. Start quote-tweeting relevant content daily\n\n### Month 2+: Scale\n1. Develop 3-5 recurring content series (e.g., \"Friday Framework\")\n2. Cross-pollinate: repurpose threads as LinkedIn posts, newsletter content\n3. Build reply relationships with 5-10 accounts your size (mutual engagement)\n4. Experiment with spaces\u002Faudio if relevant to niche\n5. Run: `python3 scripts\u002Fgrowth_tracker.py --handle @username --period 30d`\n\n---\n\n## Step 6 — Content Calendar Generation\n\nRun: `python3 scripts\u002Fcontent_planner.py --niche \"your niche\" --frequency 5 --weeks 2`\n\nGenerates a 2-week posting plan with:\n- Daily tweet topics with hook suggestions\n- Thread outlines (2-3 per week)\n- Reply targets (accounts to engage with)\n- Optimal posting times based on niche\n\n---\n\n## Scripts\n\n| Script | Purpose |\n|--------|---------|\n| `scripts\u002Fprofile_auditor.py` | Audit X profile: bio, pinned, activity patterns |\n| `scripts\u002Ftweet_composer.py` | Generate tweets\u002Fthreads with hook patterns |\n| `scripts\u002Fcompetitor_analyzer.py` | Analyze competitor accounts via web search |\n| `scripts\u002Fcontent_planner.py` | Generate weekly\u002Fmonthly content calendars |\n| `scripts\u002Fgrowth_tracker.py` | Track follower growth and engagement trends |\n\n## Common Pitfalls\n\n1. **Posting links directly** — Always put links in the first reply, never in the tweet body\n2. **Thread tweet 1 is weak** — If the hook doesn't stop scrolling, nothing else matters\n3. **Inconsistent posting** — Algorithm rewards daily consistency over occasional bangers\n4. **Only broadcasting** — Replies and engagement are 50%+ of growth, not just posting\n5. **Generic bio** — \"Helping people do things\" tells nobody anything\n6. **Copying formats without adapting** — What works for tech Twitter doesn't work for marketing Twitter\n\n## Related Skills\n\n- `social-content` — Multi-platform content creation\n- `social-media-manager` — Overall social strategy\n- `social-media-analyzer` — Cross-platform analytics\n- `content-production` — Long-form content that feeds X threads\n- `copywriting` — Headline and hook writing techniques\n",{"name":5,"license":15,"metadata":24,"description":7},{"author":25,"updated":26,"version":27,"category":28},"Alireza Rezvani",1773100800000,"1.0.0","marketing","main","a4404a75dc81d6b7e58c5906b6aaffbcb5e84747","Claude\u002Fclaude-skills\u002Fmarketing-skill\u002Fskills\u002Fx-twitter-growth",0,"https:\u002F\u002Fgithub.com\u002FMHassan0000\u002FSkills","https:\u002F\u002Fgithub.com\u002FMHassan0000","https:\u002F\u002Fhassanyousaf.vercel.app","Full Stack Developer building web apps, SaaS, AI systems, and automations. Passionate about clean code, UI\u002FUX, backend systems, and turning ideas into products.","2026-08-07 20:42:05",{"source":8,"skillName":5,"commands":39,"prompt":49,"zipAvailable":50},[40,43,46],{"tool":41,"command":42},"npx","npx skills add MHassan0000\u002FSkills --skill x-twitter-growth",{"tool":44,"command":45},"bunx","bunx skills add MHassan0000\u002FSkills --skill x-twitter-growth",{"tool":47,"command":48},"pnpm","pnpm dlx skills add MHassan0000\u002FSkills --skill x-twitter-growth","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FMHassan0000\u002FSkills\u002Fblob\u002Fmain\u002FClaude\u002Fclaude-skills\u002Fmarketing-skill\u002Fskills\u002Fx-twitter-growth\u002FSKILL.md",true,[52,58,64,70,74,78,82],{"path":53,"resourceType":54,"resourceTypeDesc":55,"sizeBytes":56,"sourceHtmlUrl":57},".gitignore","OTHER","其他",14,"https:\u002F\u002Fgithub.com\u002FMHassan0000\u002FSkills\u002Fblob\u002Fmain\u002FClaude\u002Fclaude-skills\u002Fmarketing-skill\u002Fskills\u002Fx-twitter-growth\u002F.gitignore",{"path":59,"resourceType":60,"resourceTypeDesc":61,"sizeBytes":62,"sourceHtmlUrl":63},"references\u002Falgorithm-signals.md","REFERENCE","参考文档",2824,"https:\u002F\u002Fgithub.com\u002FMHassan0000\u002FSkills\u002Fblob\u002Fmain\u002FClaude\u002Fclaude-skills\u002Fmarketing-skill\u002Fskills\u002Fx-twitter-growth\u002Freferences\u002Falgorithm-signals.md",{"path":65,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":68,"sourceHtmlUrl":69},"scripts\u002Fcompetitor_analyzer.py","SCRIPT","脚本",8321,"https:\u002F\u002Fgithub.com\u002FMHassan0000\u002FSkills\u002Fblob\u002Fmain\u002FClaude\u002Fclaude-skills\u002Fmarketing-skill\u002Fskills\u002Fx-twitter-growth\u002Fscripts\u002Fcompetitor_analyzer.py",{"path":71,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":72,"sourceHtmlUrl":73},"scripts\u002Fcontent_planner.py",7374,"https:\u002F\u002Fgithub.com\u002FMHassan0000\u002FSkills\u002Fblob\u002Fmain\u002FClaude\u002Fclaude-skills\u002Fmarketing-skill\u002Fskills\u002Fx-twitter-growth\u002Fscripts\u002Fcontent_planner.py",{"path":75,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":76,"sourceHtmlUrl":77},"scripts\u002Fgrowth_tracker.py",9912,"https:\u002F\u002Fgithub.com\u002FMHassan0000\u002FSkills\u002Fblob\u002Fmain\u002FClaude\u002Fclaude-skills\u002Fmarketing-skill\u002Fskills\u002Fx-twitter-growth\u002Fscripts\u002Fgrowth_tracker.py",{"path":79,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":80,"sourceHtmlUrl":81},"scripts\u002Fprofile_auditor.py",11521,"https:\u002F\u002Fgithub.com\u002FMHassan0000\u002FSkills\u002Fblob\u002Fmain\u002FClaude\u002Fclaude-skills\u002Fmarketing-skill\u002Fskills\u002Fx-twitter-growth\u002Fscripts\u002Fprofile_auditor.py",{"path":83,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":84,"sourceHtmlUrl":85},"scripts\u002Ftweet_composer.py",10449,"https:\u002F\u002Fgithub.com\u002FMHassan0000\u002FSkills\u002Fblob\u002Fmain\u002FClaude\u002Fclaude-skills\u002Fmarketing-skill\u002Fskills\u002Fx-twitter-growth\u002Fscripts\u002Ftweet_composer.py",[87,94,101,108,117,125],{"skillNo":88,"name":89,"nameZh":6,"description":90,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":91,"categories":92,"keywords":93,"publishedAt":19},"01M7AGBX58S04DX8DKKME8N311","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\u002FMHassan0000\u002FSkills\u002Fblob\u002Fmain\u002FClaude\u002Fskills boraztunc github\u002Fvercel-react-best-practices\u002FSKILL.md",[],[],{"skillNo":95,"name":96,"nameZh":6,"description":97,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":98,"categories":99,"keywords":100,"publishedAt":19},"01M7AGBREE890608Z7YDMAKH27","stop-slop","Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells and produce more human-like writing.","https:\u002F\u002Fgithub.com\u002FMHassan0000\u002FSkills\u002Fblob\u002Fmain\u002FClaude\u002Fskills boraztunc github\u002Fstop-slop\u002FSKILL.md",[],[],{"skillNo":102,"name":103,"nameZh":6,"description":104,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":105,"categories":106,"keywords":107,"publishedAt":19},"01M7AGAS972A2AN7Q5EW8HEAXK","ogilvy-copywriting","Apply David Ogilvy's advertising principles when writing or reviewing copy, headlines, product descriptions, landing pages, ads, emails, or any persuasive text. Use when the goal is copy that sells, not copy that wins awards. Covers positioning, headlines, promises, brand voice, long-form copy, and visual logic. Source: How to Create Advertising That Sells (1972) + Ogilvy on Advertising.","https:\u002F\u002Fgithub.com\u002FMHassan0000\u002FSkills\u002Fblob\u002Fmain\u002FClaude\u002Fskills boraztunc github\u002Fogilvy\u002FSKILL.md",[],[],{"skillNo":109,"name":110,"nameZh":6,"description":111,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":112,"licenseFileUrl":113,"sourceHtmlUrl":114,"categories":115,"keywords":116,"publishedAt":19},"01M7AGAF12803G5JPVMK79AYJB","frontend-design","Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML\u002FCSS layouts, or when styling\u002Fbeautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.","Apache-2.0","https:\u002F\u002Fgithub.com\u002FMHassan0000\u002FSkills\u002Fblob\u002Fmain\u002FClaude\u002Fskills boraztunc github\u002Ffrontend-design\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FMHassan0000\u002FSkills\u002Fblob\u002Fmain\u002FClaude\u002Fskills boraztunc github\u002Ffrontend-design\u002FSKILL.md",[],[],{"skillNo":118,"name":119,"nameZh":6,"description":120,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":112,"licenseFileUrl":121,"sourceHtmlUrl":122,"categories":123,"keywords":124,"publishedAt":19},"01M7AG88WWVWCGJY9WA9CH7EY4","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","https:\u002F\u002Fgithub.com\u002FMHassan0000\u002FSkills\u002Fblob\u002Fmain\u002FClaude\u002Fobra superpower skills\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FMHassan0000\u002FSkills\u002Fblob\u002Fmain\u002FClaude\u002Fobra superpower skills\u002Fwebapp-testing\u002FSKILL.md",[],[],{"skillNo":126,"name":127,"nameZh":6,"description":128,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":112,"licenseFileUrl":129,"sourceHtmlUrl":130,"categories":131,"keywords":132,"publishedAt":19},"01M7AG7ZTNV7XQCWDQ9674FBYB","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","https:\u002F\u002Fgithub.com\u002FMHassan0000\u002FSkills\u002Fblob\u002Fmain\u002FClaude\u002Fobra superpower skills\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FMHassan0000\u002FSkills\u002Fblob\u002Fmain\u002FClaude\u002Fobra superpower skills\u002Fweb-artifacts-builder\u002FSKILL.md",[],[]]