[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6N4MT734G2M80FEDJ7F6RB2":3,"skill-same:01M6N4MT734G2M80FEDJ7F6RB2":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":36,"linkOnly":37,"markdownContent":38,"markdownBody":39,"frontMatter":40,"refName":44,"commitSha":45,"skillDirectory":46,"forksCount":47,"repositoryHtmlUrl":48,"repositoryHomepageUrl":6,"ownerHtmlUrl":49,"ownerBlogUrl":6,"ownerDescription":50,"updatedAt":51,"install":52,"resources":65},"01M6N4MT734G2M80FEDJ7F6RB2","office-cam",null,"Multi-camera system for office\u002Fhome monitoring. Supports USB webcams (Logitech), WiFi Wyze cameras (RTSP), and ESP32 cameras. Use to check rooms, capture photos on demand, or monitor multiple spaces.","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\u002Fskills\u002Foffice-cam\u002Fskills\u002Foffice-cam\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35],"office","office cam","cam","photos","camera system","for","usb","spaces","multi","esp32","monitor","camera","use","check","capture","system","wifi","monitoring","2026-11-10 10:12:30",false,"---\nname: office-cam\ndescription: Multi-camera system for office\u002Fhome monitoring. Supports USB webcams (Logitech), WiFi Wyze cameras (RTSP), and ESP32 cameras. Use to check rooms, capture photos on demand, or monitor multiple spaces.\nmetadata:\n  clawdbot:\n    emoji: ?\n---\n\n# Office Cam - Multi-Camera System\n\nWhole-house camera network supporting multiple camera types.\n\n## Supported Cameras\n\n| Type | Reliability | Setup | Best For |\n|------|-------------|-------|----------|\n| ?️ **USB Webcam** | ⭐⭐⭐⭐⭐ Instant | Plug & play | Desk, office |\n| ? **Wyze PTZ\u002Fv3** | ⭐⭐⭐⭐⭐ Reliable | RTSP stream | Rooms, garage, shed |\n| ? **ESP32-CAM** | ⭐⭐⭐ Experimental | ESP-NOW wireless | DIY, battery-powered |\n\n## Quick Start\n\n```bash\n# USB Webcam (instant)\n~\u002Fclawd\u002Fskills\u002Foffice-cam\u002Fscripts\u002Fcapture.sh\n\n# Wyze PTZ (one-time setup required)\n~\u002Fclawd\u002Fskills\u002Foffice-cam\u002Fscripts\u002Fwyze-dashboard add\n~\u002Fclawd\u002Fskills\u002Foffice-cam\u002Fscripts\u002Fwyze-dashboard capture shed\n\n# ESP32-CAM (ESP-NOW wireless)\n# Flash firmware, auto-discovers base station, sends photos wirelessly\n```\n\n---\n\n## ?️ USB Webcam (Logitech)\n\n**Most reliable - works instantly.**\n\n### Basic Capture\n```bash\ncd ~\u002Fclawd\u002Fskills\u002Foffice-cam\n.\u002Fscripts\u002Fcapture.sh \u002Ftmp\u002Foffice.jpg\n```\n\n### Motion Detection ⭐ NEW\n```bash\n# Start motion detection (runs continuously)\n.\u002Fscripts\u002Fmotion-detect.sh\n\n# Captures saved to ~\u002F.clawdbot\u002Fmotion-captures\u002F\n# Automatically triggers when motion detected\n# 5-second cooldown between captures\n```\n\n### ? OVERWATCH Mode (AI Monitoring) ⭐⭐⭐\n```bash\n# Start AI-powered continuous monitoring\n.\u002Fscripts\u002Foverwatch start\n\n# Check status\n.\u002Fscripts\u002Foverwatch status\n\n# Stop monitoring\n.\u002Fscripts\u002Foverwatch stop\n```\n\n**What Overwatch does:**\n- ? Monitors webcam 24\u002F7 in background\n- ? Detects motion and saves alert\n- ? Can trigger notifications (integrate with OpenClaw)\n- ? Saves motion captures to `~\u002F.clawdbot\u002Foverwatch\u002F`\n\n**Or say:** *\"Start overwatch\"* or *\"Keep overwatch\"*\n\n### ? SMART OVERWATCH (AI-Escalated) ⭐⭐⭐⭐⭐\n```bash\n# Start smart monitoring (zero cost until trigger)\n.\u002Fscripts\u002Fsmart-overwatch start\n\n# I will check for triggers and analyze when found\n```\n\n**How it works:**\n1. **? Local motion detection** (file size comparison, zero API cost, runs always)\n2. **? Motion detected** → creates trigger file in `~\u002F.clawdbot\u002Foverwatch\u002Ftriggers\u002F`\n3. **? I detect the trigger** → analyze image with vision model (only when motion happens)\n4. **? Person found?** → Send alert & optionally continue watching\n5. **? No person?** → Delete trigger, back to local monitoring\n\n**What you can say:**\n- *\"Start smart overwatch\"*\n- *\"Keep watch and tell me if you see anyone\"*\n- *\"Monitor for people only\"*\n- *\"Check overwatch triggers\"* (to manually check for pending analysis)\n\n**Cost:** Zero until motion detected, then only when I analyze the image\n\n### ? Instant Telegram Photo ⭐⭐⭐⭐⭐\n**Quick capture and send - the simplest way to check your camera**\n\n**Just say:**\n- *\"Show me the office\"*\n- *\"What's on camera?\"*\n- *\"Send me a photo\"*\n\n**What happens:**\n1. I instantly capture from your webcam\n2. Analyze for clear faces\u002Factivity\n3. Send best image directly to your Telegram\n\n**No stream needed - just instant photos when you want them.**\n\n### ? OVERWATCH PRO (Full Control System) ⭐⭐⭐⭐⭐⭐\n**The complete solution - Telegram alerts, live stream, remote control**\n\n```bash\n# Start the full system\n.\u002Fscripts\u002Foverwatch-pro start\n\n# Setup Telegram (one-time)\n.\u002Fscripts\u002Foverwatch-pro setup\n\n# Get live stream URLs\n.\u002Fscripts\u002Foverwatch-pro stream\n\n# Take manual photo\n.\u002Fscripts\u002Foverwatch-pro capture\n\n# Check status\n.\u002Fscripts\u002Foverwatch-pro status\n\n# View live log\n.\u002Fscripts\u002Foverwatch-pro log\n\n# Stop\n.\u002Fscripts\u002Foverwatch-pro stop\n```\n\n**Features:**\n- ? **Instant Telegram alerts** when motion detected\n- ? **Live MJPEG stream** at http:\u002F\u002Flocalhost:8080\n- ? **Auto-refreshes** every 2 seconds\n- ? **Saves all captures** to ~\u002F.clawdbot\u002Foverwatch\u002F\n- ? **Telegram bot replies** - respond to alerts with commands\n- ? **Morning report** (8 AM daily via cron)\n\n**Telegram Commands (reply to motion alert):**\n- `analyze` - I'll check the image and tell you what I see\n- `stream` - I'll send you the live stream link\n- `capture` - I'll take a fresh photo right now\n\n**Network Access:**\n```bash\n# Local\nhttp:\u002F\u002Flocalhost:8080\n\n# From another device on same network\nhttp:\u002F\u002F$(hostname -I | awk '{print $1}'):8080\n```\n\n**Morning Report (with Photo):**\n- Auto-generated at 8 AM (America\u002FDenver timezone)\n- **Sends a fresh morning photo of your office**\n- Summarizes overnight motion events\n- Offers to analyze captures\n- Provides quick command reference\n\n**Requirements for motion detection:**\n```bash\nbrew install imagemagick  # For image comparison\n```\n\n---\n\n## ? Wyze Cameras\n\n### One-Time Setup:\n\n1. **Enable RTSP in Wyze App:**\n   - Open Wyze app → Camera Settings → Advanced Settings\n   - Enable RTSP, set password\n   - Copy the RTSP URL\n\n2. **Add to system:**\n   ```bash\n   ~\u002Fclawd\u002Fskills\u002Foffice-cam\u002Fscripts\u002Fwyze-dashboard add\n   # Enter camera name (e.g., \"shed\")\n   # Enter RTSP URL\n   ```\n\n3. **Capture:**\n   ```bash\n   # Single camera\n   ~\u002Fclawd\u002Fskills\u002Foffice-cam\u002Fscripts\u002Fwyze-dashboard capture shed\n   \n   # All cameras\n   ~\u002Fclawd\u002Fskills\u002Foffice-cam\u002Fscripts\u002Fwyze-dashboard capture-all\n   \n   # Quick one-liner (after setup)\n   ~\u002Fclawd\u002Fskills\u002Foffice-cam\u002Fscripts\u002Fwyze-capture shed\n   ```\n\n---\n\n## ? ESP32-CAM (ESP-NOW Wireless)\n\n**No WiFi router needed!** Direct wireless between ESP32s.\n\n### Architecture:\n```\n┌─────────────────┐      ESP-NOW      ┌─────────────────┐\n│  ESP32-CAM      │  ═══════════════► │  ESP32 Base     │◄── USB ──► Mac\n│  (Camera Node)  │   (100m range)    │  (Receiver)     │\n└─────────────────┘                   └─────────────────┘\n        Battery powered                  Plugged into computer\n```\n\n### Flashing:\n\n**Base Station** (plain ESP32, plugged into Mac):\n```bash\ncd ~\u002Fclawd\u002Fskills\u002Foffice-cam\u002Ffirmware\u002Fespnow-base\npio run --target upload\n```\n\n**Camera Node** (ESP32-CAM with camera):\n```bash\ncd ~\u002Fclawd\u002Fskills\u002Foffice-cam\u002Ffirmware\u002Fespnow-cam-auto\npio run --target upload\n```\n\n### How it works:\n1. Base station broadcasts \"beacon\" every 2 seconds\n2. Camera auto-discovers base station\n3. Camera captures and sends photo wirelessly\n4. Base receives and saves to SD\u002Foutputs to serial\n\n**Range:** 100+ meters (no WiFi needed!)\n\n---\n\n## Files\n\n| Script | Purpose |\n|--------|---------|\n| `capture.sh` | USB webcam |\n| `wyze-capture` | Quick Wyze capture |\n| `wyze-dashboard` | Multi-cam management |\n| `firmware\u002Fespnow-base\u002F` | ESP32 receiver |\n| `firmware\u002Fespnow-cam-auto\u002F` | ESP32-CAM transmitter |\n\n---\n\n## Troubleshooting\n\n**Wyze \"Connection refused\":**\n- Verify RTSP enabled in Wyze app\n- Check username\u002Fpassword\n- Ensure same WiFi network\n\n**ESP32-CAM not connecting:**\n- Keep within 10 feet for testing\n- Check LED: blinking = searching, solid = capturing\n- Try resetting both boards\n\n**USB webcam not working:**\n- `brew install imagesnap`\n- System Settings → Privacy → Camera\n","# Office Cam - Multi-Camera System\n\nWhole-house camera network supporting multiple camera types.\n\n## Supported Cameras\n\n| Type | Reliability | Setup | Best For |\n|------|-------------|-------|----------|\n| ?️ **USB Webcam** | ⭐⭐⭐⭐⭐ Instant | Plug & play | Desk, office |\n| ? **Wyze PTZ\u002Fv3** | ⭐⭐⭐⭐⭐ Reliable | RTSP stream | Rooms, garage, shed |\n| ? **ESP32-CAM** | ⭐⭐⭐ Experimental | ESP-NOW wireless | DIY, battery-powered |\n\n## Quick Start\n\n```bash\n# USB Webcam (instant)\n~\u002Fclawd\u002Fskills\u002Foffice-cam\u002Fscripts\u002Fcapture.sh\n\n# Wyze PTZ (one-time setup required)\n~\u002Fclawd\u002Fskills\u002Foffice-cam\u002Fscripts\u002Fwyze-dashboard add\n~\u002Fclawd\u002Fskills\u002Foffice-cam\u002Fscripts\u002Fwyze-dashboard capture shed\n\n# ESP32-CAM (ESP-NOW wireless)\n# Flash firmware, auto-discovers base station, sends photos wirelessly\n```\n\n---\n\n## ?️ USB Webcam (Logitech)\n\n**Most reliable - works instantly.**\n\n### Basic Capture\n```bash\ncd ~\u002Fclawd\u002Fskills\u002Foffice-cam\n.\u002Fscripts\u002Fcapture.sh \u002Ftmp\u002Foffice.jpg\n```\n\n### Motion Detection ⭐ NEW\n```bash\n# Start motion detection (runs continuously)\n.\u002Fscripts\u002Fmotion-detect.sh\n\n# Captures saved to ~\u002F.clawdbot\u002Fmotion-captures\u002F\n# Automatically triggers when motion detected\n# 5-second cooldown between captures\n```\n\n### ? OVERWATCH Mode (AI Monitoring) ⭐⭐⭐\n```bash\n# Start AI-powered continuous monitoring\n.\u002Fscripts\u002Foverwatch start\n\n# Check status\n.\u002Fscripts\u002Foverwatch status\n\n# Stop monitoring\n.\u002Fscripts\u002Foverwatch stop\n```\n\n**What Overwatch does:**\n- ? Monitors webcam 24\u002F7 in background\n- ? Detects motion and saves alert\n- ? Can trigger notifications (integrate with OpenClaw)\n- ? Saves motion captures to `~\u002F.clawdbot\u002Foverwatch\u002F`\n\n**Or say:** *\"Start overwatch\"* or *\"Keep overwatch\"*\n\n### ? SMART OVERWATCH (AI-Escalated) ⭐⭐⭐⭐⭐\n```bash\n# Start smart monitoring (zero cost until trigger)\n.\u002Fscripts\u002Fsmart-overwatch start\n\n# I will check for triggers and analyze when found\n```\n\n**How it works:**\n1. **? Local motion detection** (file size comparison, zero API cost, runs always)\n2. **? Motion detected** → creates trigger file in `~\u002F.clawdbot\u002Foverwatch\u002Ftriggers\u002F`\n3. **? I detect the trigger** → analyze image with vision model (only when motion happens)\n4. **? Person found?** → Send alert & optionally continue watching\n5. **? No person?** → Delete trigger, back to local monitoring\n\n**What you can say:**\n- *\"Start smart overwatch\"*\n- *\"Keep watch and tell me if you see anyone\"*\n- *\"Monitor for people only\"*\n- *\"Check overwatch triggers\"* (to manually check for pending analysis)\n\n**Cost:** Zero until motion detected, then only when I analyze the image\n\n### ? Instant Telegram Photo ⭐⭐⭐⭐⭐\n**Quick capture and send - the simplest way to check your camera**\n\n**Just say:**\n- *\"Show me the office\"*\n- *\"What's on camera?\"*\n- *\"Send me a photo\"*\n\n**What happens:**\n1. I instantly capture from your webcam\n2. Analyze for clear faces\u002Factivity\n3. Send best image directly to your Telegram\n\n**No stream needed - just instant photos when you want them.**\n\n### ? OVERWATCH PRO (Full Control System) ⭐⭐⭐⭐⭐⭐\n**The complete solution - Telegram alerts, live stream, remote control**\n\n```bash\n# Start the full system\n.\u002Fscripts\u002Foverwatch-pro start\n\n# Setup Telegram (one-time)\n.\u002Fscripts\u002Foverwatch-pro setup\n\n# Get live stream URLs\n.\u002Fscripts\u002Foverwatch-pro stream\n\n# Take manual photo\n.\u002Fscripts\u002Foverwatch-pro capture\n\n# Check status\n.\u002Fscripts\u002Foverwatch-pro status\n\n# View live log\n.\u002Fscripts\u002Foverwatch-pro log\n\n# Stop\n.\u002Fscripts\u002Foverwatch-pro stop\n```\n\n**Features:**\n- ? **Instant Telegram alerts** when motion detected\n- ? **Live MJPEG stream** at http:\u002F\u002Flocalhost:8080\n- ? **Auto-refreshes** every 2 seconds\n- ? **Saves all captures** to ~\u002F.clawdbot\u002Foverwatch\u002F\n- ? **Telegram bot replies** - respond to alerts with commands\n- ? **Morning report** (8 AM daily via cron)\n\n**Telegram Commands (reply to motion alert):**\n- `analyze` - I'll check the image and tell you what I see\n- `stream` - I'll send you the live stream link\n- `capture` - I'll take a fresh photo right now\n\n**Network Access:**\n```bash\n# Local\nhttp:\u002F\u002Flocalhost:8080\n\n# From another device on same network\nhttp:\u002F\u002F$(hostname -I | awk '{print $1}'):8080\n```\n\n**Morning Report (with Photo):**\n- Auto-generated at 8 AM (America\u002FDenver timezone)\n- **Sends a fresh morning photo of your office**\n- Summarizes overnight motion events\n- Offers to analyze captures\n- Provides quick command reference\n\n**Requirements for motion detection:**\n```bash\nbrew install imagemagick  # For image comparison\n```\n\n---\n\n## ? Wyze Cameras\n\n### One-Time Setup:\n\n1. **Enable RTSP in Wyze App:**\n   - Open Wyze app → Camera Settings → Advanced Settings\n   - Enable RTSP, set password\n   - Copy the RTSP URL\n\n2. **Add to system:**\n   ```bash\n   ~\u002Fclawd\u002Fskills\u002Foffice-cam\u002Fscripts\u002Fwyze-dashboard add\n   # Enter camera name (e.g., \"shed\")\n   # Enter RTSP URL\n   ```\n\n3. **Capture:**\n   ```bash\n   # Single camera\n   ~\u002Fclawd\u002Fskills\u002Foffice-cam\u002Fscripts\u002Fwyze-dashboard capture shed\n   \n   # All cameras\n   ~\u002Fclawd\u002Fskills\u002Foffice-cam\u002Fscripts\u002Fwyze-dashboard capture-all\n   \n   # Quick one-liner (after setup)\n   ~\u002Fclawd\u002Fskills\u002Foffice-cam\u002Fscripts\u002Fwyze-capture shed\n   ```\n\n---\n\n## ? ESP32-CAM (ESP-NOW Wireless)\n\n**No WiFi router needed!** Direct wireless between ESP32s.\n\n### Architecture:\n```\n┌─────────────────┐      ESP-NOW      ┌─────────────────┐\n│  ESP32-CAM      │  ═══════════════► │  ESP32 Base     │◄── USB ──► Mac\n│  (Camera Node)  │   (100m range)    │  (Receiver)     │\n└─────────────────┘                   └─────────────────┘\n        Battery powered                  Plugged into computer\n```\n\n### Flashing:\n\n**Base Station** (plain ESP32, plugged into Mac):\n```bash\ncd ~\u002Fclawd\u002Fskills\u002Foffice-cam\u002Ffirmware\u002Fespnow-base\npio run --target upload\n```\n\n**Camera Node** (ESP32-CAM with camera):\n```bash\ncd ~\u002Fclawd\u002Fskills\u002Foffice-cam\u002Ffirmware\u002Fespnow-cam-auto\npio run --target upload\n```\n\n### How it works:\n1. Base station broadcasts \"beacon\" every 2 seconds\n2. Camera auto-discovers base station\n3. Camera captures and sends photo wirelessly\n4. Base receives and saves to SD\u002Foutputs to serial\n\n**Range:** 100+ meters (no WiFi needed!)\n\n---\n\n## Files\n\n| Script | Purpose |\n|--------|---------|\n| `capture.sh` | USB webcam |\n| `wyze-capture` | Quick Wyze capture |\n| `wyze-dashboard` | Multi-cam management |\n| `firmware\u002Fespnow-base\u002F` | ESP32 receiver |\n| `firmware\u002Fespnow-cam-auto\u002F` | ESP32-CAM transmitter |\n\n---\n\n## Troubleshooting\n\n**Wyze \"Connection refused\":**\n- Verify RTSP enabled in Wyze app\n- Check username\u002Fpassword\n- Ensure same WiFi network\n\n**ESP32-CAM not connecting:**\n- Keep within 10 feet for testing\n- Check LED: blinking = searching, solid = capturing\n- Try resetting both boards\n\n**USB webcam not working:**\n- `brew install imagesnap`\n- System Settings → Privacy → Camera\n",{"name":5,"metadata":41,"description":7},{"clawdbot":42},{"emoji":43},"?","main","f4cb2d49f7667e79ef7804f50396d5aaffdf1f56","其他\u002Fclawd\u002Fskills\u002Foffice-cam\u002Fskills\u002Foffice-cam",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":53,"prompt":63,"zipAvailable":64},[54,57,60],{"tool":55,"command":56},"npx","npx skills add Kernel8901\u002Fai-agent-skills-classification --skill office-cam",{"tool":58,"command":59},"bunx","bunx skills add Kernel8901\u002Fai-agent-skills-classification --skill office-cam",{"tool":61,"command":62},"pnpm","pnpm dlx skills add Kernel8901\u002Fai-agent-skills-classification --skill office-cam","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F其他\u002Fclawd\u002Fskills\u002Foffice-cam\u002Fskills\u002Foffice-cam\u002FSKILL.md",true,[66,72],{"path":67,"resourceType":68,"resourceTypeDesc":69,"sizeBytes":70,"sourceHtmlUrl":71},"README.md","REFERENCE","参考文档",8056,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F其他\u002Fclawd\u002Fskills\u002Foffice-cam\u002Fskills\u002Foffice-cam\u002FREADME.md",{"path":73,"resourceType":74,"resourceTypeDesc":75,"sizeBytes":76,"sourceHtmlUrl":77},"scripts\u002Fwyze-capture.py","SCRIPT","脚本",2354,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F其他\u002Fclawd\u002Fskills\u002Foffice-cam\u002Fskills\u002Foffice-cam\u002Fscripts\u002Fwyze-capture.py",[79,102,138,149,159,188],{"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":36},"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",[],[81,86,87,88,89,90,30,91,92,93,94,95,96,97,98,99,100,101],"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":36},"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":36},"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":36},"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":36},"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",[169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,23],"finance","yahoo finance","forex","yahoo","yahoo finance forex","github","https","sentiment","real-time","python3","install","Market","usd","news","time","currency","gbp","pip","market data",{"skillNo":189,"name":190,"nameZh":6,"description":191,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":192,"categories":193,"keywords":195,"publishedAt":36},"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",[194],{"categoryNo":166,"categoryName":167,"taxonomyType":118,"taxonomyTypeDesc":119},[169,170,172,196,197,198,31,199,200,180,201,202,203,204,205,206,207,208,137,187],"cli","homebrew","find","brew","up","local","get","stock","link","trending","sf","quotes","ln"]