[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6N4JPVDDMNA7J55GZ2SWC20":3,"skill-same:01M6N4JPVDDMNA7J55GZ2SWC20":78},{"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":17,"publishedAt":37,"linkOnly":38,"markdownContent":39,"markdownBody":40,"frontMatter":41,"refName":42,"commitSha":43,"skillDirectory":44,"forksCount":45,"repositoryHtmlUrl":46,"repositoryHomepageUrl":6,"ownerHtmlUrl":47,"ownerBlogUrl":6,"ownerDescription":48,"updatedAt":49,"install":50,"resources":63},"01M6N4JPVDDMNA7J55GZ2SWC20","clawdsense",null,"Real-time image analysis from ClawdSense ESP32 dongle. Monitors media receiver, captures photos from device, analyzes instantly with Groq Vision. Use when ClawdSense sends photos via \u002Fphoto command or button controls. Provides instant room analysis, occupancy detection, and environmental awareness.","Kernel8901\u002Fai-agent-skills-classification","Kernel8901","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F72647553?v=4","01M6KV388J2H5PNC8D8P940BJD","01M6KV38CS5B3AY63RKZB410YM",7,"MIT","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F其他\u002Fclawd\u002Fclawdsense-skill\u002FSKILL.md",[],[5,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36],"photos","with","controls","image analysis","via","receiver","environmental","esp32","time","image","use","command","instant","groq","Media","analysis","real-time","detection","awareness","2026-11-10 10:12:30",false,"---\nname: clawdsense\ndescription: Real-time image analysis from ClawdSense ESP32 dongle. Monitors media receiver, captures photos from device, analyzes instantly with Groq Vision. Use when ClawdSense sends photos via \u002Fphoto command or button controls. Provides instant room analysis, occupancy detection, and environmental awareness.\n---\n\n# ClawdSense Skill\n\nReal-time image capture and analysis from ClawdSense ESP32 dongle.\n\n## Quick Start\n\n### Start Services\n\n```bash\n# Terminal 1: Media receiver (accepts photo uploads from ESP32)\nnode ~\u002Fclawd\u002Fclawdsense-skill\u002Fscripts\u002Fmedia-receiver.js\n\n# Terminal 2: Analyzer (monitors inbound folder, analyzes with Groq)\nnode ~\u002Fclawd\u002Fclawdsense-skill\u002Fscripts\u002Fanalyzer.js\n\n# Terminal 3: Health monitor (keeps both services alive)\nnode ~\u002Fclawd\u002Fclawdsense-skill\u002Fscripts\u002Fhealth-monitor.js\n```\n\n### Usage\n\n1. **Send `\u002Fphoto` command to ClawdSense** via Telegram\n2. **Device captures and POSTs to media receiver** (port 5555)\n3. **Analyzer detects new photo** and analyzes with Groq Vision\n4. **Results printed to console**\n\n## Architecture\n\n### Three Components\n\n**Media Receiver** (port 5555)\n- Accepts multipart\u002Fform-data uploads from ESP32\n- Stores photos in `~\u002F.clawdbot\u002Fmedia\u002Finbound\u002F`\n- Endpoints:\n  - POST `\u002Finbound\u002Fphoto` - JPEG photos\n  - POST `\u002Finbound\u002Faudio` - WAV audio\n  - POST `\u002Finbound\u002Fvideo` - AVI video\n\n**Analyzer** (real-time polling)\n- Polls inbound folder every 500ms\n- Detects new photos automatically\n- Sends to Groq Vision API for analysis\n- Uses pixtral-12b model for instant results\n\n**Health Monitor**\n- Checks both services every 30s\n- Restarts if either dies\n- Logs status to console\n\n## Performance\n\n- **Detection latency:** ~500ms (polling interval)\n- **Analysis time:** 1-3s (Groq API)\n- **Total end-to-end:** ~2-5s from capture to results\n\n## Configuration\n\n### ESP32 Firmware Settings\n\nDevice must be configured with:\n```\nMEDIA_RECEIVER_URL = \"http:\u002F\u002Flocalhost:5555\"\nor for public: \"https:\u002F\u002Fyour-ngrok-url\"\n```\n\n### Groq API Key\n\nStored in environment:\n```bash\nexport GROQ_API_KEY=\"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\"\n```\n\n## Troubleshooting\n\n**\"Media receiver is DOWN\"**\n- Check if port 5555 is in use\n- Restart: `node ~\u002Fclawd\u002Fclawdsense-skill\u002Fscripts\u002Fmedia-receiver.js`\n\n**\"No new photos detected\"**\n- Is device sending to media receiver? Check device logs\n- Is media receiver running? Curl http:\u002F\u002Flocalhost:5555\u002Fhealth\n- Check inbound folder permissions\n\n**\"Groq API errors\"**\n- Verify API key is set\n- Check account quota\u002Fbilling\n\n## References\n\n- See `references\u002Fgroq-vision-api.md` for Groq setup\n- See `references\u002Fesp32-setup.md` for device configuration\n","# ClawdSense Skill\n\nReal-time image capture and analysis from ClawdSense ESP32 dongle.\n\n## Quick Start\n\n### Start Services\n\n```bash\n# Terminal 1: Media receiver (accepts photo uploads from ESP32)\nnode ~\u002Fclawd\u002Fclawdsense-skill\u002Fscripts\u002Fmedia-receiver.js\n\n# Terminal 2: Analyzer (monitors inbound folder, analyzes with Groq)\nnode ~\u002Fclawd\u002Fclawdsense-skill\u002Fscripts\u002Fanalyzer.js\n\n# Terminal 3: Health monitor (keeps both services alive)\nnode ~\u002Fclawd\u002Fclawdsense-skill\u002Fscripts\u002Fhealth-monitor.js\n```\n\n### Usage\n\n1. **Send `\u002Fphoto` command to ClawdSense** via Telegram\n2. **Device captures and POSTs to media receiver** (port 5555)\n3. **Analyzer detects new photo** and analyzes with Groq Vision\n4. **Results printed to console**\n\n## Architecture\n\n### Three Components\n\n**Media Receiver** (port 5555)\n- Accepts multipart\u002Fform-data uploads from ESP32\n- Stores photos in `~\u002F.clawdbot\u002Fmedia\u002Finbound\u002F`\n- Endpoints:\n  - POST `\u002Finbound\u002Fphoto` - JPEG photos\n  - POST `\u002Finbound\u002Faudio` - WAV audio\n  - POST `\u002Finbound\u002Fvideo` - AVI video\n\n**Analyzer** (real-time polling)\n- Polls inbound folder every 500ms\n- Detects new photos automatically\n- Sends to Groq Vision API for analysis\n- Uses pixtral-12b model for instant results\n\n**Health Monitor**\n- Checks both services every 30s\n- Restarts if either dies\n- Logs status to console\n\n## Performance\n\n- **Detection latency:** ~500ms (polling interval)\n- **Analysis time:** 1-3s (Groq API)\n- **Total end-to-end:** ~2-5s from capture to results\n\n## Configuration\n\n### ESP32 Firmware Settings\n\nDevice must be configured with:\n```\nMEDIA_RECEIVER_URL = \"http:\u002F\u002Flocalhost:5555\"\nor for public: \"https:\u002F\u002Fyour-ngrok-url\"\n```\n\n### Groq API Key\n\nStored in environment:\n```bash\nexport GROQ_API_KEY=\"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\"\n```\n\n## Troubleshooting\n\n**\"Media receiver is DOWN\"**\n- Check if port 5555 is in use\n- Restart: `node ~\u002Fclawd\u002Fclawdsense-skill\u002Fscripts\u002Fmedia-receiver.js`\n\n**\"No new photos detected\"**\n- Is device sending to media receiver? Check device logs\n- Is media receiver running? Curl http:\u002F\u002Flocalhost:5555\u002Fhealth\n- Check inbound folder permissions\n\n**\"Groq API errors\"**\n- Verify API key is set\n- Check account quota\u002Fbilling\n\n## References\n\n- See `references\u002Fgroq-vision-api.md` for Groq setup\n- See `references\u002Fesp32-setup.md` for device configuration\n",{"name":5,"description":7},"main","f4cb2d49f7667e79ef7804f50396d5aaffdf1f56","其他\u002Fclawd\u002Fclawdsense-skill",1,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification","https:\u002F\u002Fgithub.com\u002FKernel8901","a little little little dobe in life but science geek","2026-04-05 16:43:56",{"source":8,"skillName":5,"commands":51,"prompt":61,"zipAvailable":62},[52,55,58],{"tool":53,"command":54},"npx","npx skills add Kernel8901\u002Fai-agent-skills-classification --skill clawdsense",{"tool":56,"command":57},"bunx","bunx skills add Kernel8901\u002Fai-agent-skills-classification --skill clawdsense",{"tool":59,"command":60},"pnpm","pnpm dlx skills add Kernel8901\u002Fai-agent-skills-classification --skill clawdsense","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F其他\u002Fclawd\u002Fclawdsense-skill\u002FSKILL.md",true,[64,70,74],{"path":65,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":68,"sourceHtmlUrl":69},"scripts\u002Fanalyzer.js","SCRIPT","脚本",3759,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F其他\u002Fclawd\u002Fclawdsense-skill\u002Fscripts\u002Fanalyzer.js",{"path":71,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":72,"sourceHtmlUrl":73},"scripts\u002Fhealth-monitor.js",2298,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F其他\u002Fclawd\u002Fclawdsense-skill\u002Fscripts\u002Fhealth-monitor.js",{"path":75,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":76,"sourceHtmlUrl":77},"scripts\u002Fmedia-receiver.js",3587,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F其他\u002Fclawd\u002Fclawdsense-skill\u002Fscripts\u002Fmedia-receiver.js",[79,102,138,149,159,187],{"skillNo":80,"name":81,"nameZh":6,"description":82,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":83,"categories":84,"keywords":85,"publishedAt":37},"01M6Q5R6WZ06RRB9RQTW54B34B","zyfai","Earn yield on any Ethereum wallet on Base, Arbitrum, and Plasma. Use when a user wants passive DeFi yield on their funds. Deploys a non-custodial subaccount (Safe) linked to their EOA, enables automated yield optimization, and lets them deposit\u002Fwithdraw anytime.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzyfai-sdk\u002FSKILL.md",[],[81,86,87,88,89,90,28,91,92,93,94,95,96,97,98,99,100,101],"safe","ethereum","defi","Optimization","user","Wallet","base","deposit","withdraw","yield","arbitrum","non-custodial","passive","defi yield","earn","yield optimization",{"skillNo":103,"name":104,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":105,"categories":106,"keywords":120,"publishedAt":37},"01M6Q5R337B5JSNER4P4YS03TN","zerion-api","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api\u002FSKILL.md",[107,112,115],{"categoryNo":108,"categoryName":109,"taxonomyType":110,"taxonomyTypeDesc":111},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":113,"categoryName":114,"taxonomyType":110,"taxonomyTypeDesc":111},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":116,"categoryName":117,"taxonomyType":118,"taxonomyTypeDesc":119},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[121,122,123,124,125,126,127,88,128,91,129,130,131,132,133,134,135,136,137],"api","zerion api","zerion","MCP","mcp server","server","blockchain","transactions","crypto wallet","crypto","evm","solana","query","across","positions","token","prices",{"skillNo":139,"name":140,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":141,"categories":142,"keywords":146,"publishedAt":37},"01M6Q5QZFYTDAZMZ27BN5VZXAR","zerion-api-skill","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-skill\u002FSKILL.md",[143,144,145],{"categoryNo":108,"categoryName":109,"taxonomyType":110,"taxonomyTypeDesc":111},{"categoryNo":113,"categoryName":114,"taxonomyType":110,"taxonomyTypeDesc":111},{"categoryNo":116,"categoryName":117,"taxonomyType":118,"taxonomyTypeDesc":119},[121,147,148,122,123,124,125,126,127,88,128,91,130,131,132,133,134,135,136,137],"api skill","zerion api skill",{"skillNo":150,"name":151,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":152,"categories":153,"keywords":157,"publishedAt":37},"01M6Q5QW17QW98RA3FE45E4RD8","zerion-api-mcp","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-mcp\u002FSKILL.md",[154,155,156],{"categoryNo":108,"categoryName":109,"taxonomyType":110,"taxonomyTypeDesc":111},{"categoryNo":113,"categoryName":114,"taxonomyType":110,"taxonomyTypeDesc":111},{"categoryNo":116,"categoryName":117,"taxonomyType":118,"taxonomyTypeDesc":119},[124,121,158,122,123,125,126,88,128,91,129,130,131,132,133,134,135,136,137],"zerion api mcp",{"skillNo":160,"name":161,"nameZh":6,"description":162,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":163,"categories":164,"keywords":168,"publishedAt":37},"01M6Q5QQYZB7A501BDEQWKGSJT","yahoo-finance-forex","Fetches real-time FOREX news and market data from Yahoo Finance for major currency pairs (EUR\u002FUSD, GBP\u002FUSD, USD\u002FJPY, etc.). Analyzes sentiment and provides trading context.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fyahoo-finance-forex\u002FSKILL.md",[165],{"categoryNo":166,"categoryName":167,"taxonomyType":118,"taxonomyTypeDesc":119},"01JBSEEDCAT000000000000040","财务",[169,170,171,172,173,174,175,176,34,177,178,179,180,181,26,182,183,184,185,186],"finance","yahoo finance","forex","yahoo","yahoo finance forex","github","https","sentiment","python3","install","Market","usd","news","currency","gbp","pip","market data","for",{"skillNo":188,"name":189,"nameZh":6,"description":190,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":191,"categories":192,"keywords":194,"publishedAt":37},"01M6Q5QM6VS84WZVM7BKXXPF32","yahoo-finance","This skill should be used when the user asks to \"get stock prices\", \"check stock quotes\", \"look up earnings\", \"get financial data\", \"find trending stocks\", or needs stock market data from Yahoo Finance.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fyahoo-finance-cli\u002FSKILL.md",[193],{"categoryNo":166,"categoryName":167,"taxonomyType":118,"taxonomyTypeDesc":119},[169,170,172,195,196,197,198,199,200,179,201,202,203,204,205,206,207,208,137,185],"cli","homebrew","find","check","brew","up","local","get","stock","link","trending","sf","quotes","ln"]