Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Wind & Site
Wind rose, wind speed/direction at a site; supports site and urban wind assessment (data only; detailed CFD is out of scope).
skill openclawclawhub Free
Wind rose, wind speed/direction at a site; supports site and urban wind assessment (data only; detailed CFD is out of scope).
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0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, clawhub.json, requirements.txt, scripts/wind_info.py, scripts/wind_rose.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.1.1
Provenance
- Publisher
- QROST
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Wind & Site
Wind climate and current wind at a location: wind rose (direction and speed frequency) and latest wind conditions. Uses Open-Meteo (no API key). For detailed urban or building wind effects (pedestrian comfort, corner acceleration), use CFD tools; this skill provides the site wind data needed for context and input to such studies.
Dependencies
requests numpy matplotlib Setup: OpenClaw does not install Python packages automatically. After installing this skill, run once: pip install -r requirements.txt (from the skill folder). If a script fails with ModuleNotFoundError, install the missing package.
1. Current or recent wind
Parameters: --lat, --lon, optional --days (0 = current from forecast; >0 = last N days from archive). python3 scripts/wind_info.py --lat 31.23 --lon 121.47 python3 scripts/wind_info.py --lat 34.05 --lon -118.24 --days 7 Output: latest wind speed (m/s) and direction (Β°), and period mean if multiple hours.
2. Wind rose
Parameters: --lat, --lon, --days (default 30), --output (default wind_rose.png). python3 scripts/wind_rose.py --lat 31.23 --lon 121.47 --days 30 --output wind_rose.png Fetches hourly wind from Open-Meteo historical API and plots a wind rose (% of hours by direction and speed bins).
Sending images to Telegram
Used from the OpenClaw Telegram conversation. The wind rose is an image: run wind_rose.py with --output <path>.png. Then send that PNG to the user via the OpenClaw message/media tool. wind_info.py is text-only; use it for numbers and use the wind rose image for the visual. OpenClaw allowed paths: The message tool can only send files from allowed directories. If you see "Local media path is not under an allowed directory", the image was saved outside them. Always use an allowed output path for the PNG: ~/.openclaw/media/ (e.g. --output ~/.openclaw/media/wind_rose.png) ~/.openclaw/agents/ The system temp dir (e.g. /tmp/wind_rose.png) Do not use the skill install directory (e.g. ~/.openclaw/skills/windsite/) as --output; that path is not allowed and sending will fail. Agent behavior: When the user asks for wind at a site or a wind rose (with location or lat/lon), run the script directly with exec: use wind_info.py for current/recent wind text, and wind_rose.py --output <path>.png for the diagram, where <path> must be under an allowed directory (e.g. ~/.openclaw/media/wind_rose.png or /tmp/wind_rose.png); then send the wind rose PNG and summarize the numbers. Do not ask for confirmation; execute and return the image and data.
Urban wind effect
This skill does not run CFD or pedestrian wind simulation. It provides: Wind rose and wind speed/direction for the site, so you can see prevailing wind and strength. Use that data as input to CFD or specialist tools (e.g. SimScale, OpenFOAM, or wind-tunnel studies) for building/urban wind effects and comfort.
Examples
User: "What's the wind like at this site?" Action: Run wind_info.py for the site lat/lon; return speed, direction, and brief interpretation. User: "Give me a wind rose for Shanghai for the last 30 days." Action: Run wind_rose.py --lat 31.23 --lon 121.47 --days 30 --output ~/.openclaw/media/wind_rose.png (or /tmp/wind_rose.png); send that file and return a short summary. User: "I need to assess urban wind around a new tower." Action: Run wind_rose and wind_info for the site; explain that for building/urban effects they should use CFD or wind-tunnel studies, with this data as climate input.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Scripts1 Docs1 Config1 Files
- SKILL.md
- scripts/wind_info.py
- scripts/wind_rose.py
- clawhub.json
- requirements.txt