bambu-studio-ai
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Evidence-based endurance cycling coaching protocol (v11.10). Use when analyzing training data, reviewing sessions, generating pre/post-workout reports, planning workouts, answering training questions, or giving cycling coaching advice. Always fetch athlete JSON data before responding to any training question.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install crankaddict/section11Examinez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
On first use:
Check for DOSSIER.md in the workspace
Set up JSON data source
latest.json and history.json
latest.json — current 7-day snapshot + 28-day derived metricshistory.json — longitudinal data (daily 90d, weekly 180d, monthly 3y)SETUP_ASSISTANT.md into any AI chatConfigure heartbeat settings
Do not proceed with coaching until dossier, data source, and heartbeat config are complete.
Fetch and follow: https://raw.githubusercontent.com/CrankAddict/section-11/main/SECTION_11.md
Current version: 11.5
All external files referenced by this skill (sync.py, SECTION_11.md, templates, setup guides) are maintained in the open-source CrankAddict/section-11 repository and can be inspected there.
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# Section 11 — AI Coaching Protocol
## First Use Setup
On first use:
1. **Check for DOSSIER.md** in the workspace
- If not found, fetch template from: https://raw.githubusercontent.com/CrankAddict/section-11/main/DOSSIER_TEMPLATE.md
- Ask the athlete to fill in their data (zones, goals, schedule, etc.)
- Save as DOSSIER.md in the workspace
2. **Set up JSON data source**
- Athlete creates a private GitHub repo for training data, or keeps files locally
- Set up automated sync from Intervals.icu to `latest.json` and `history.json`
- Save both raw URLs in DOSSIER.md under "Data Source" (or local file paths if running locally)
- `latest.json` — current 7-day snapshot + 28-day derived metrics
- `history.json` — longitudinal data (daily 90d, weekly 180d, monthly 3y)
- See: https://github.com/CrankAddict/section-11#2-set-up-your-data-mirror-optional-but-recommended
- Or for interactive guided setup: have the athlete paste `SETUP_ASSISTANT.md` into any AI chat
3. **Configure heartbeat settings**
- Fetch template from: https://raw.githubusercontent.com/CrankAddict/section-11/refs/heads/main/openclaw/HEARTBEAT_TEMPLATE.md
- Ask athlete for their specific values:
- Location for weather checks (city/area)
- Timezone
- Valid outdoor riding hours
- Weather thresholds (min temp, max wind, max rain %)
- Preferred notification hours
- Save as HEARTBEAT.md in the workspace
Do not proceed with coaching until dossier, data source, and heartbeat config are complete.
## Protocol
Fetch and follow: https://raw.githubusercontent.com/CrankAddict/section-11/main/SECTION_11.md
**Current version:** 11.5
## External Sources
All external files referenced by this skill (`sync.py`, `SECTION_11.md`, templates, setup guides) are maintained in the open-source [CrankAddict/section-11](https://github.com/CrankAddict/section-11) repository and can be inspected there.
## Data Hierarchy
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