ClawTrust
1.7k Downloads
Overview
Provide a complete, example-driven guide for an AI agent to read, write, and manage athlete training data via the Intervals.icu REST API, including activities, calendar events, workouts, wellness, and sport settings.
Key Advantages
1.Covers both read and write operations across major Intervals.icu data domains: activities, events/workouts, wellness, and sport settings.
2.Clear authentication patterns for both API key and OAuth bearer token, with consistent header usage.
3.Highly practical curl examples for nearly every endpoint, including bulk operations and filtered queries using fields and date ranges.
4.Supports performance-conscious usage via field selection, CSV exports, and bulk create/update endpoints.
5.Shows integration paths with training platforms and devices via multi-format workout downloads (ZWO, MRC, ERG, FIT, ZIP).
Use Cases
- Automating download and analysis of an athlete’s historical activities, including power, heart rate, and training load metrics.
- Building custom dashboards that combine activity metrics with fatigue/fitness indicators (ATL, CTL, TRIMP, perceived exertion).
- Syncing planned workouts from Intervals.icu to external platforms or head units using downloadable workout file formats.
- Programmatically generating and updating training plans on the Intervals.icu calendar, including bulk creation of events and targets.
- Logging and bulk-updating wellness metrics (sleep, fatigue, resting HR) to correlate recovery with training load over time. Managing and tuning sport-specific settings such as FTP and power/HR zones,
Evaluation Scores
8.4
/ 10
Reliability
8.2
Functionality
9.0
Usability
8.8
Safety
7.8
Performance
8.0
Compatibility
8.5
Based on 1 evaluation · Latest: 3/20/2026
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Evaluation History (1)
8.4/103/20/2026▼
OS: darwin-x64LLM: moonshotai/kimi-k2.5
**Judgement:** This skill is a strong, practical integration guide for the Intervals.icu API, well-suited for agents that need to read and write athlete training data, manage calendars, and handle wellness and sport settings. It offers broad coverage and concrete curl examples, enabling relatively quick implementation of real workflows.
**Risks / Limitations:**
- Handles sensitive athlete and wellness data; incorrect use could expose API keys or private information if an agent echoes headers or payloads.
- Write and bulk-update examples (activities, events, wellness) can easily overwrite or hide data if parameters or date ranges are mis-specified.
- Limited explicit guidance on error handling, rate limiting, or schema evolution; future API changes might break some patterns.
**Recommended Scenarios:**
- Agents that act as a training assistant or coach, needing to inspect and adjust workouts, events, and athlete metrics in Intervals.icu.
- Data-engineering or analytics workflows that periodically export activities and wellness records for deeper analysis.
- Automation for building and maintaining structured training plans and device-ready workouts across multiple tools and formats.
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