A specialized tool for fetching and analyzing COROS sports data, focusing on running performance, training load, and schedule management.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install coros-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install coros-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is COROS Running Data Integration?
The COROS Running Data Integration is a robust skill designed for athletes and developers who want to bring professional-grade sports metrics into their AI workflows. It leverages the COROS API to retrieve comprehensive data including training status, load analysis, and detailed activity logs. By using this skill within the Openclaw Skills ecosystem, users can automate the retrieval of their running history and performance insights.
This skill goes beyond simple data fetching by providing deep dive metrics such as Short-term Load (ATI), Long-term Load (CTI), and heart rate statistics. Whether you are building a personal training assistant or a fitness dashboard, this integration provides the technical bridge to COROS's rich data environment.
COROS Running Data Integration Use Cases
- Reviewing recent running performance and detailed activity splits.
- Analyzing training load balance (ATI/CTI) to prevent overtraining.
- Synchronizing and updating training schedules and targets.
- Generating automated post-run summaries and training reviews.
- Monitoring weekly training volume and heart rate trends.
How COROS Running Data Integration Works
- Authentication: The skill initiates a secure login process using account credentials, supporting Token and Cookie caching for persistent sessions.
- Dashboard Retrieval: It fetches high-level metrics including current training status, fatigue levels, and recent exercise summaries.
- Activity Querying: The agent can query a paginated list of activities or fetch exhaustive details for a specific run, including weather and lap data.
- Schedule Management: It accesses the training calendar to retrieve or update scheduled workouts and objectives.
- Data Formatting: All time-based metrics are standardized to HH:MM:SS format to ensure consistency with the COROS web interface.
COROS Running Data Integration Setup
To get started with this integration in the Openclaw Skills framework, configure your credentials in the config.json file:
{
"coros": {
"account": "[email protected]",
"p1": "hashed_password_part_1",
"p2": "hashed_password_part_2"
},
"demo_mode": false
}
Run the integration locally using Python:
python3 main.py
COROS Running Data Integration Data Schema & Taxonomy
The skill organizes data into several logical modules to ensure clarity and scannability:
| Module | Data Points |
|---|---|
| Training Status | Short-term Load (ATI), Long-term Load (CTI), Load Ratio |
| Activity Details | Distance, Duration, Pace, Heart Rate, Training Load (TL), Weather, Lap Splits |
| Schedule | Training Calendar, Target Summaries, Program Lists |
| System | Login Tokens, Cookie Cache, Account Metadata |
COROS Running Data Integration Advanced Features
- Smart Authentication Cache: Automatically manages Token/Cookie lifecycle to minimize redundant login requests.
- Safety Write Mode: Training schedules are preview-only by default; explicit confirmation is required to enable real-time updates/writes.
- Estimate & Calculate Engine: Advanced endpoints for training program estimation and calculation based on historical data.
- Multi-Environment Ready: Pre-configured with
.clawhubignoreto ensure sensitive credentials are never leaked during deployment to Openclaw Skills hubs.
SKILL.md
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