[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M717RTGPX44H58A86P32DZJB":3,"skill-same:01M717RTGPX44H58A86P32DZJB":70},{"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":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":44,"commitSha":45,"skillDirectory":46,"forksCount":14,"repositoryHtmlUrl":47,"repositoryHomepageUrl":6,"ownerHtmlUrl":48,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":49,"install":50,"resources":63},"01M717RTGPX44H58A86P32DZJB","apify-trend-analysis",null,"Discover and track emerging trends across Google Trends, Instagram, Facebook, YouTube, and TikTok to inform content strategy.","sapsapshen\u002Fai-memory-router","sapsapshen","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F20347959?v=4","01M6XDQEF1DP50DKF37H81J3J5","shenmian","01M6XDQEJPE41Y3DT2763X8ZJN",0,"MIT","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fglobal\u002Fapify-trend-analysis\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"analysis","apify","trend analysis","trend","apify trend analysis","facebook","track","unknown","google trends","trends","discover","across","google","tiktok","community","youtube","strategy","instagram","content strategy","content","2026-11-10 10:12:30",false,"---\nname: apify-trend-analysis\ndescription: Discover and track emerging trends across Google Trends, Instagram, Facebook, YouTube, and TikTok to inform content strategy.\nrisk: unknown\nsource: community\n---\n\n# Trend Analysis\n\nDiscover and track emerging trends using Apify Actors to extract data 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 trend type (select Actor)\n- [ ] Step 2: Fetch Actor schema via mcpc\n- [ ] Step 3: Ask user preferences (format, filename)\n- [ ] Step 4: Run the analysis script\n- [ ] Step 5: Summarize findings\n```\n\n### Step 1: Identify Trend Type\n\nSelect the appropriate Actor based on research needs:\n\n| User Need | Actor ID | Best For |\n|-----------|----------|----------|\n| Search trends | `apify\u002Fgoogle-trends-scraper` | Google Trends data |\n| Hashtag tracking | `apify\u002Finstagram-hashtag-scraper` | Hashtag content |\n| Hashtag metrics | `apify\u002Finstagram-hashtag-stats` | Performance stats |\n| Visual trends | `apify\u002Finstagram-post-scraper` | Post analysis |\n| Trending discovery | `apify\u002Finstagram-search-scraper` | Search trends |\n| Comprehensive tracking | `apify\u002Finstagram-scraper` | Full data |\n| API-based trends | `apify\u002Finstagram-api-scraper` | API access |\n| Engagement trends | `apify\u002Fexport-instagram-comments-posts` | Comment tracking |\n| Product trends | `apify\u002Ffacebook-marketplace-scraper` | Marketplace data |\n| Visual analysis | `apify\u002Ffacebook-photos-scraper` | Photo trends |\n| Community trends | `apify\u002Ffacebook-groups-scraper` | Group monitoring |\n| YouTube Shorts | `streamers\u002Fyoutube-shorts-scraper` | Short-form trends |\n| YouTube hashtags | `streamers\u002Fyoutube-video-scraper-by-hashtag` | Hashtag videos |\n| TikTok hashtags | `clockworks\u002Ftiktok-hashtag-scraper` | Hashtag content |\n| Trending sounds | `clockworks\u002Ftiktok-sound-scraper` | Audio trends |\n| TikTok ads | `clockworks\u002Ftiktok-ads-scraper` | Ad trends |\n| Discover page | `clockworks\u002Ftiktok-discover-scraper` | Discover trends |\n| Explore trends | `clockworks\u002Ftiktok-explore-scraper` | Explore content |\n| Trending content | `clockworks\u002Ftiktok-trends-scraper` | Viral content |\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\u002Fgoogle-trends-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 results found\n- File location and name\n- Key trend insights\n- Suggested next steps (deeper analysis, content opportunities)\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\n## When to Use\nUse this skill when tackling tasks related to its primary domain or functionality as described above.\n","# Trend Analysis\n\nDiscover and track emerging trends using Apify Actors to extract data 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 trend type (select Actor)\n- [ ] Step 2: Fetch Actor schema via mcpc\n- [ ] Step 3: Ask user preferences (format, filename)\n- [ ] Step 4: Run the analysis script\n- [ ] Step 5: Summarize findings\n```\n\n### Step 1: Identify Trend Type\n\nSelect the appropriate Actor based on research needs:\n\n| User Need | Actor ID | Best For |\n|-----------|----------|----------|\n| Search trends | `apify\u002Fgoogle-trends-scraper` | Google Trends data |\n| Hashtag tracking | `apify\u002Finstagram-hashtag-scraper` | Hashtag content |\n| Hashtag metrics | `apify\u002Finstagram-hashtag-stats` | Performance stats |\n| Visual trends | `apify\u002Finstagram-post-scraper` | Post analysis |\n| Trending discovery | `apify\u002Finstagram-search-scraper` | Search trends |\n| Comprehensive tracking | `apify\u002Finstagram-scraper` | Full data |\n| API-based trends | `apify\u002Finstagram-api-scraper` | API access |\n| Engagement trends | `apify\u002Fexport-instagram-comments-posts` | Comment tracking |\n| Product trends | `apify\u002Ffacebook-marketplace-scraper` | Marketplace data |\n| Visual analysis | `apify\u002Ffacebook-photos-scraper` | Photo trends |\n| Community trends | `apify\u002Ffacebook-groups-scraper` | Group monitoring |\n| YouTube Shorts | `streamers\u002Fyoutube-shorts-scraper` | Short-form trends |\n| YouTube hashtags | `streamers\u002Fyoutube-video-scraper-by-hashtag` | Hashtag videos |\n| TikTok hashtags | `clockworks\u002Ftiktok-hashtag-scraper` | Hashtag content |\n| Trending sounds | `clockworks\u002Ftiktok-sound-scraper` | Audio trends |\n| TikTok ads | `clockworks\u002Ftiktok-ads-scraper` | Ad trends |\n| Discover page | `clockworks\u002Ftiktok-discover-scraper` | Discover trends |\n| Explore trends | `clockworks\u002Ftiktok-explore-scraper` | Explore content |\n| Trending content | `clockworks\u002Ftiktok-trends-scraper` | Viral content |\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\u002Fgoogle-trends-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 results found\n- File location and name\n- Key trend insights\n- Suggested next steps (deeper analysis, content opportunities)\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\n## When to Use\nUse this skill when tackling tasks related to its primary domain or functionality as described above.\n",{"name":5,"risk":26,"source":33,"description":7},"main","7a38d8e7073e61c16eda85681cb32fb68a8657a5","skills-store\u002Fglobal\u002Fapify-trend-analysis","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router","https:\u002F\u002Fgithub.com\u002Fsapsapshen","2026-04-14 21:12:12",{"source":8,"skillName":5,"commands":51,"prompt":61,"zipAvailable":62},[52,55,58],{"tool":53,"command":54},"npx","npx skills add sapsapshen\u002Fai-memory-router --skill apify-trend-analysis",{"tool":56,"command":57},"bunx","bunx skills add sapsapshen\u002Fai-memory-router --skill apify-trend-analysis",{"tool":59,"command":60},"pnpm","pnpm dlx skills add sapsapshen\u002Fai-memory-router --skill apify-trend-analysis","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fglobal\u002Fapify-trend-analysis\u002FSKILL.md",true,[64],{"path":65,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":68,"sourceHtmlUrl":69},"reference\u002Fscripts\u002Frun_actor.js","SCRIPT","脚本",11744,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fglobal\u002Fapify-trend-analysis\u002Freference\u002Fscripts\u002Frun_actor.js",[71,95,118,128,141,159],{"skillNo":72,"name":73,"nameZh":6,"description":74,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":75,"categories":76,"keywords":82,"publishedAt":39},"01M71ATQRKG48SH06FQ697T5G9","wechat-search","Search WeChat Official Account articles using OpenClaw's web search and fetch capabilities with compliance-focused design.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fwechat-search-release\u002FSKILL.md",[77],{"categoryNo":78,"categoryName":79,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000037","律师与法务","PROFESSION","适用职业",[83,84,85,86,87,88,89,90,91,92,93,94],"wechat search","wechat","search","capabilities","openclaw","design","web search","compliance","web","official","fetch","with",{"skillNo":96,"name":97,"nameZh":6,"description":98,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":99,"categories":100,"keywords":101,"publishedAt":39},"01M71ATNAVGZB35PFYM2GC5N00","trend-tap","Real-time trending topics aggregator across 7 platforms (X\u002FTwitter, Reddit, Google Trends, Hacker News, Zhihu, Bilibili, Weibo). Trigger: when user says 'trend', 'trends', 'trend tap', '热点', '热搜', or asks what is trending\u002Fhot. 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