bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
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.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install crankaddict/section11打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
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.
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# 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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