Menu
A free skill by Kami SmartHome. Get notified the moment a package arrives at your door. Detects packages, parcels, and bags from RTSP camera streams using AI vision.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Order food/drinks (点餐) on an Android device paired as an OpenClaw node. Uses in-app menu and cart; add goods, view cart, submit order (demo, no real payment).
Access the full suite of CarsXE vehicle data APIs — VIN decoding, license plate lookup, market value, vehicle history, safety recalls, lien/theft checks, OBD-II diagnostic code decoding, vehicle images, international VIN decoding, Year/Make/Model lookups, and plate/VIN OCR from images. Use this skill any time the user asks about a vehicle by VIN, plate, make/model, or OBD code. Also triggers for: "what's this car worth", "check for recalls", "vehicle history report", "decode this plate", "what does check engine code X mean", or any automotive data query. Always use this skill when working with CarsXE APIs — do not guess API behavior without it.
Generate images using Google Gemini models (Nano Banana 2 / gemini-3-pro-image-preview). Use when the user asks to create, generate, or make an image, picture, photo, or visual from a text description. Also supports image-to-image generation (modify/edit existing images). Supports multiple aspect ratios (1:1, 16:9, 9:16, 4:3, 3:4) and resolutions up to 4K. Triggers on phrases like "generate an image", "create a picture", "make me a photo", "draw", "visualize", "edit this image", "modify this picture", or any request to produce or transform visual content.
Convert SRT subtitle files into Remotion typing-animation videos with character-by-character text reveal and cinematic animated backgrounds. Use when the user wants a typewriter subtitle effect, SRT-to-video conversion, animated captions, or a Remotion project generated from subtitle files.
Connect an agent to TaskMaster — the coordination layer for the agentic economy. Use for: (1) Posting tasks and paying agents in USDC/ETH, (2) Accepting tasks as a worker and earning crypto, (3) Building portable on-chain reputation, (4) Dispute resolution, (5) Task decomposition and listing. Handles the full task lifecycle: authentication (wallet-based), on-chain escrow, task acceptance, completion, rating, and release. Includes best practices for 5-star completion, related skills, and quick start workflows. Requires a wallet with a small ETH balance on Base, Optimism, or Arbitrum.
Notion via notion-cli — a Rust CLI + MCP server for Notion API 2025-09-03+. Three-tier agent integration (read-only default, opt-in runtime writes, opt-in admin lifecycle) with rate limiting, response-size cap, untrusted-source output envelope, per-tier JSONL audit logs, and --check-request dry-runs. Supports the new data-source model, 22 property types, 12 block types, admin schema mutation, relation wiring, dedicated page-move endpoint, db update, and users me (v0.4).
| name | kami-package-detection |
| description | A free skill by Kami SmartHome. Get notified the moment a package arrives at your door. Detects packages, parcels, and bags from RTSP camera streams using AI vision. |
| version | 1.0.2 |
| author | kami-smarthome |
| tags | ["smart-home","object-detection","yolo","package-detection","parcel-detection","iot","camera","rtsp","onnx","edge-ai","delivery","monitoring","notification"] |
| triggers | ["detect packages","detect parcels","check for deliveries","package detection","is there a package","monitor packages","check camera for packages","any deliveries at the door"] |
| metadata | {"openclaw":{"requires":{"bins":["python3"]},"emoji":"📦"}} |
Get notified the moment a package arrives at your door.
Monitor your camera feed for packages, parcels, backpacks, handbags, and suitcases. When detected, returns the object class and bounding box as JSON — ready for automation.
bash setup.sh
Creates .venv/ and installs onnxruntime, opencv-python-headless, numpy. Idempotent.
python3 and python3-venv installedyolov8s-worldv2.onnx model file in the skill directoryThe yolov8s-worldv2.onnx model file is included in the skill package. If missing, re-download this skill from ClawHub:
clawhub install kami-package-detection
Before running, confirm these parameters with the user:
| Parameter | Default | Description |
|---|---|---|
--rtsp_url | rtsp://127.0.0.1/live/TNPUSAQ-757597-DRFMY | RTSP camera URL |
--conf_threshold | 0.25 | Confidence threshold (0.0–1.0) |
--class_names | parcel package "delivery box" person "Cardboard box" "Packaging Box" backpack handbag suitcase | Classes to detect |
--run_time | 60 | Max seconds; 0 = unlimited |
Ask the user: do any parameters need to be changed?
.venv/bin/python yolo_world_onnx.py \
--rtsp_url rtsp://your-camera-address \
--run_time 60
{
"detections": [
{
"class_name": "parcel",
"bbox": {"x1": 100, "y1": 200, "x2": 300, "y2": 400}
}
]
}
| Field | Type | Description |
|---|---|---|
class_name | string | Detected object class |
bbox.x1, y1, x2, y2 | int | Bounding box coordinates |
| Code | Meaning |
|---|---|
0 | Target detected, JSON output written |
1 | Error (model missing, RTSP failure, runtime exception) |
2 | Timeout, no target detected within --run_time |
bash: .venv/bin/python: No such file or directory → Run bash setup.shModel file not found → Place yolov8s-worldv2.onnx in the skill directoryCannot open video → Check camera is online and --rtsp_url is correct