[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6F35ZSSD5DZZFHC870SWK2F":3,"skill-same:01M6F35ZSSD5DZZFHC870SWK2F":75},{"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":31,"publishedAt":47,"linkOnly":48,"markdownContent":49,"markdownBody":50,"frontMatter":51,"refName":52,"commitSha":53,"skillDirectory":54,"forksCount":55,"repositoryHtmlUrl":56,"repositoryHomepageUrl":57,"ownerHtmlUrl":58,"ownerBlogUrl":6,"ownerDescription":59,"updatedAt":60,"install":61,"resources":74},"01M6F35ZSSD5DZZFHC870SWK2F","apify-content-analytics",null,"Track engagement metrics, measure campaign ROI, and analyze content performance across Instagram, Facebook, YouTube, and TikTok.","ComeOnOliver\u002Fskillshub","ComeOnOliver","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F43215937?v=4","01M6E5JNFECJAAVFE0W7SMWWD2","Haoran Shu","01M6E5JNNDQS7AJZDYFQ8TPZCK",66,"MIT","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fapify\u002Fagent-skills\u002Fapify-content-analytics\u002FSKILL.md",[18,23,28],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000013","分析与可视化","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",{"categoryNo":29,"categoryName":30,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000036","内容创作者",[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"analytics","content","apify content analytics","content analytics","performance","roi","metrics","analyze","instagram","engagement","campaign","youtube","tiktok","facebook","across","2026-11-10 10:12:30",false,"---\nname: apify-content-analytics\ndescription: Track engagement metrics, measure campaign ROI, and analyze content performance across Instagram, Facebook, YouTube, and TikTok.\n---\n\n# Content Analytics\n\nTrack and analyze content performance using Apify Actors to extract engagement metrics from multiple platforms.\n\n## Prerequisites\n(No need to check it upfront)\n\n- `.env` file with `APIFY_TOKEN`\n- Node.js 20.6+ (for native `--env-file` support)\n- `mcpc` CLI tool: `npm install -g @apify\u002Fmcpc`\n\n## Workflow\n\nCopy this checklist and track progress:\n\n```\nTask Progress:\n- [ ] Step 1: Identify content analytics type (select Actor)\n- [ ] Step 2: Fetch Actor schema via mcpc\n- [ ] Step 3: Ask user preferences (format, filename)\n- [ ] Step 4: Run the analytics script\n- [ ] Step 5: Summarize findings\n```\n\n### Step 1: Identify Content Analytics Type\n\nSelect the appropriate Actor based on analytics needs:\n\n| User Need | Actor ID | Best For |\n|-----------|----------|----------|\n| Post engagement metrics | `apify\u002Finstagram-post-scraper` | Post performance |\n| Reel performance | `apify\u002Finstagram-reel-scraper` | Reel analytics |\n| Follower growth tracking | `apify\u002Finstagram-followers-count-scraper` | Growth metrics |\n| Comment engagement | `apify\u002Finstagram-comment-scraper` | Comment analysis |\n| Hashtag performance | `apify\u002Finstagram-hashtag-scraper` | Branded hashtags |\n| Mention tracking | `apify\u002Finstagram-tagged-scraper` | Tag tracking |\n| Comprehensive metrics | `apify\u002Finstagram-scraper` | Full data |\n| API-based analytics | `apify\u002Finstagram-api-scraper` | API access |\n| Facebook post performance | `apify\u002Ffacebook-posts-scraper` | Post metrics |\n| Reaction analysis | `apify\u002Ffacebook-likes-scraper` | Engagement types |\n| Facebook Reels metrics | `apify\u002Ffacebook-reels-scraper` | Reels performance |\n| Ad performance tracking | `apify\u002Ffacebook-ads-scraper` | Ad analytics |\n| Facebook comment analysis | `apify\u002Ffacebook-comments-scraper` | Comment engagement |\n| Page performance audit | `apify\u002Ffacebook-pages-scraper` | Page metrics |\n| YouTube video metrics | `streamers\u002Fyoutube-scraper` | Video performance |\n| YouTube Shorts analytics | `streamers\u002Fyoutube-shorts-scraper` | Shorts performance |\n| TikTok content metrics | `clockworks\u002Ftiktok-scraper` | TikTok analytics |\n\n### Step 2: Fetch Actor Schema\n\nFetch the Actor's input schema and details dynamically using mcpc:\n\n```bash\nexport $(grep APIFY_TOKEN .env | xargs) && mcpc --json mcp.apify.com --header \"Authorization: Bearer $APIFY_TOKEN\" tools-call fetch-actor-details actor:=\"ACTOR_ID\" | jq -r \".content\"\n```\n\nReplace `ACTOR_ID` with the selected Actor (e.g., `apify\u002Finstagram-post-scraper`).\n\nThis returns:\n- Actor description and README\n- Required and optional input parameters\n- Output fields (if available)\n\n### Step 3: Ask User Preferences\n\nBefore running, ask:\n1. **Output format**:\n   - **Quick answer** - Display top few results in chat (no file saved)\n   - **CSV** - Full export with all fields\n   - **JSON** - Full export in JSON format\n2. **Number of results**: Based on character of use case\n\n### Step 4: Run the Script\n\n**Quick answer (display in chat, no file):**\n```bash\nnode --env-file=.env ${CLAUDE_PLUGIN_ROOT}\u002Freference\u002Fscripts\u002Frun_actor.js \\\n  --actor \"ACTOR_ID\" \\\n  --input 'JSON_INPUT'\n```\n\n**CSV:**\n```bash\nnode --env-file=.env ${CLAUDE_PLUGIN_ROOT}\u002Freference\u002Fscripts\u002Frun_actor.js \\\n  --actor \"ACTOR_ID\" \\\n  --input 'JSON_INPUT' \\\n  --output YYYY-MM-DD_OUTPUT_FILE.csv \\\n  --format csv\n```\n\n**JSON:**\n```bash\nnode --env-file=.env ${CLAUDE_PLUGIN_ROOT}\u002Freference\u002Fscripts\u002Frun_actor.js \\\n  --actor \"ACTOR_ID\" \\\n  --input 'JSON_INPUT' \\\n  --output YYYY-MM-DD_OUTPUT_FILE.json \\\n  --format json\n```\n\n### Step 5: Summarize Findings\n\nAfter completion, report:\n- Number of content pieces analyzed\n- File location and name\n- Key performance insights\n- Suggested next steps (deeper analysis, content optimization)\n\n\n## Error Handling\n\n`APIFY_TOKEN not found` - Ask user to create `.env` with `APIFY_TOKEN=your_token`\n`mcpc not found` - Ask user to install `npm install -g @apify\u002Fmcpc`\n`Actor not found` - Check Actor ID spelling\n`Run FAILED` - Ask user to check Apify console link in error output\n`Timeout` - Reduce input size or increase `--timeout`\n\n","# Content Analytics\n\nTrack and analyze content performance using Apify Actors to extract engagement metrics from multiple platforms.\n\n## Prerequisites\n(No need to check it upfront)\n\n- `.env` file with `APIFY_TOKEN`\n- Node.js 20.6+ (for native `--env-file` support)\n- `mcpc` CLI tool: `npm install -g @apify\u002Fmcpc`\n\n## Workflow\n\nCopy this checklist and track progress:\n\n```\nTask Progress:\n- [ ] Step 1: Identify content analytics type (select Actor)\n- [ ] Step 2: Fetch Actor schema via mcpc\n- [ ] Step 3: Ask user preferences (format, filename)\n- [ ] Step 4: Run the analytics script\n- [ ] Step 5: Summarize findings\n```\n\n### Step 1: Identify Content Analytics Type\n\nSelect the appropriate Actor based on analytics needs:\n\n| User Need | Actor ID | Best For |\n|-----------|----------|----------|\n| Post engagement metrics | `apify\u002Finstagram-post-scraper` | Post performance |\n| Reel performance | `apify\u002Finstagram-reel-scraper` | Reel analytics |\n| Follower growth tracking | `apify\u002Finstagram-followers-count-scraper` | Growth metrics |\n| Comment engagement | `apify\u002Finstagram-comment-scraper` | Comment analysis |\n| Hashtag performance | `apify\u002Finstagram-hashtag-scraper` | Branded hashtags |\n| Mention tracking | `apify\u002Finstagram-tagged-scraper` | Tag tracking |\n| Comprehensive metrics | `apify\u002Finstagram-scraper` | Full data |\n| API-based analytics | `apify\u002Finstagram-api-scraper` | API access |\n| Facebook post performance | `apify\u002Ffacebook-posts-scraper` | Post metrics |\n| Reaction analysis | `apify\u002Ffacebook-likes-scraper` | Engagement types |\n| Facebook Reels metrics | `apify\u002Ffacebook-reels-scraper` | Reels performance |\n| Ad performance tracking | `apify\u002Ffacebook-ads-scraper` | Ad analytics |\n| Facebook comment analysis | `apify\u002Ffacebook-comments-scraper` | Comment engagement |\n| Page performance audit | `apify\u002Ffacebook-pages-scraper` | Page metrics |\n| YouTube video metrics | `streamers\u002Fyoutube-scraper` | Video performance |\n| YouTube Shorts analytics | `streamers\u002Fyoutube-shorts-scraper` | Shorts performance |\n| TikTok content metrics | `clockworks\u002Ftiktok-scraper` | TikTok analytics |\n\n### Step 2: Fetch Actor Schema\n\nFetch the Actor's input schema and details dynamically using mcpc:\n\n```bash\nexport $(grep APIFY_TOKEN .env | xargs) && mcpc --json mcp.apify.com --header \"Authorization: Bearer $APIFY_TOKEN\" tools-call fetch-actor-details actor:=\"ACTOR_ID\" | jq -r \".content\"\n```\n\nReplace `ACTOR_ID` with the selected Actor (e.g., `apify\u002Finstagram-post-scraper`).\n\nThis returns:\n- Actor description and README\n- Required and optional input parameters\n- Output fields (if available)\n\n### Step 3: Ask User Preferences\n\nBefore running, ask:\n1. **Output format**:\n   - **Quick answer** - Display top few results in chat (no file saved)\n   - **CSV** - Full export with all fields\n   - **JSON** - Full export in JSON format\n2. **Number of results**: Based on character of use case\n\n### Step 4: Run the Script\n\n**Quick answer (display in chat, no file):**\n```bash\nnode --env-file=.env ${CLAUDE_PLUGIN_ROOT}\u002Freference\u002Fscripts\u002Frun_actor.js \\\n  --actor \"ACTOR_ID\" \\\n  --input 'JSON_INPUT'\n```\n\n**CSV:**\n```bash\nnode --env-file=.env ${CLAUDE_PLUGIN_ROOT}\u002Freference\u002Fscripts\u002Frun_actor.js \\\n  --actor \"ACTOR_ID\" \\\n  --input 'JSON_INPUT' \\\n  --output YYYY-MM-DD_OUTPUT_FILE.csv \\\n  --format csv\n```\n\n**JSON:**\n```bash\nnode --env-file=.env ${CLAUDE_PLUGIN_ROOT}\u002Freference\u002Fscripts\u002Frun_actor.js \\\n  --actor \"ACTOR_ID\" \\\n  --input 'JSON_INPUT' \\\n  --output YYYY-MM-DD_OUTPUT_FILE.json \\\n  --format json\n```\n\n### Step 5: Summarize Findings\n\nAfter completion, report:\n- Number of content pieces analyzed\n- File location and name\n- Key performance insights\n- Suggested next steps (deeper analysis, content optimization)\n\n\n## Error Handling\n\n`APIFY_TOKEN not found` - Ask user to create `.env` with `APIFY_TOKEN=your_token`\n`mcpc not found` - Ask user to install `npm install -g @apify\u002Fmcpc`\n`Actor not found` - Check Actor ID spelling\n`Run FAILED` - Ask user to check Apify console link in error output\n`Timeout` - Reduce input size or increase `--timeout`\n\n",{"name":5,"description":7},"main","def8531e65114c0fca8fb8551c1871ee0eed705c","skills\u002Fapify\u002Fagent-skills\u002Fapify-content-analytics",24,"https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub","https:\u002F\u002Fskillshub.wtf","https:\u002F\u002Fgithub.com\u002FComeOnOliver","AI & Blockchain Engineer\r\n","2026-06-24 22:07:19",{"source":8,"skillName":5,"commands":62,"prompt":72,"zipAvailable":73},[63,66,69],{"tool":64,"command":65},"npx","npx skills add ComeOnOliver\u002Fskillshub --skill apify-content-analytics",{"tool":67,"command":68},"bunx","bunx skills add ComeOnOliver\u002Fskillshub --skill apify-content-analytics",{"tool":70,"command":71},"pnpm","pnpm dlx skills add ComeOnOliver\u002Fskillshub --skill apify-content-analytics","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fapify\u002Fagent-skills\u002Fapify-content-analytics\u002FSKILL.md",true,[],[76,88,98,107,113,120],{"skillNo":77,"name":78,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":79,"categories":80,"keywords":84,"publishedAt":47},"01M6FKJN13GMG4KY57J3QD8GY5","model-hierarchy-skill","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzscole\u002Fmodel-hierarchy-skill\u002Fmodel-hierarchy-skill\u002FSKILL.md",[81],{"categoryNo":82,"categoryName":83,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[85,86,87],"model","model hierarchy","model hierarchy skill",{"skillNo":89,"name":90,"nameZh":6,"description":6,"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":94,"publishedAt":47},"01M6FKJJJ6GCAMR4PPPRD12M5X","zoom-mcp","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fzoom-mcp\u002FSKILL.md",[93],{"categoryNo":82,"categoryName":83,"taxonomyType":21,"taxonomyTypeDesc":22},[95,96,97],"MCP","zoom","zoom mcp",{"skillNo":99,"name":100,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":101,"categories":102,"keywords":103,"publishedAt":47},"01M6FKJE3KYT3KPEZMEEHYKA6K","zoom-apps-sdk","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fzoom-apps-sdk\u002FSKILL.md",[],[104,105,106,96],"sdk","zoom apps sdk","apps",{"skillNo":108,"name":109,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":110,"categories":111,"keywords":112,"publishedAt":47},"01M6FKJ9EDH9Q5VWDF8HAJRSP0","windows","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fwindows\u002FSKILL.md",[],[109],{"skillNo":114,"name":115,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":119,"publishedAt":47},"01M6FKJ666BEEFC3AE9GJ72Q93","whiteboard","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fwhiteboard\u002FSKILL.md",[118],{"categoryNo":82,"categoryName":83,"taxonomyType":21,"taxonomyTypeDesc":22},[115],{"skillNo":121,"name":122,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":123,"categories":124,"keywords":125,"publishedAt":47},"01M6FKJ21WFCDGTJQ2Q91T9DVW","websockets","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fwebsockets\u002FSKILL.md",[],[122]]