Coordinate ten subagents to generate personalized daily health coaching messages.
npx skills add https://github.com/compound-life-ai/Turri --skill daily-coach
Please help me install this Agent Skill. Skill: daily-coach Source: https://github.com/compound-life-ai/Turri/tree/main/daily-coach Command: npx skills add https://github.com/compound-life-ai/Turri --skill daily-coach
Streams the complexity of daily health guidance into a coordinated, lightweight process by dispatching ten specialist subagents that each review the user's data and contribute a separate Telegram bubble message.
Generate today's personalized daily health coaching message.
High-intent search queries and answers about installing and using this skill.
Automated daily health coaching coordinates ten specialist subagents to analyze your personal data and generate tailored guidance. It dispatches parallel reviews across domains like diet and vitals to produce separate Telegram bubble messages for a cohesive daily briefing.
Multi-agent daily coaching dispatches ten specialist subagents to each review your data and contribute a separate Telegram message. It applies context from weekly nutrition summaries to produce ten per-domain messages, ensuring conservative, data-driven guidance.
Yes, the daily coaching workflow outputs directly to Telegram as individual bubble messages. Ten subagents each analyze a health domain and publish a separate message, creating an automated, cohesive daily briefing delivered through Telegram.
Yes, generating personalized daily health messages requires OpenClaw-enabled parallel dispatch to coordinate the ten subagents. This setup ensures safety checks are applied to deliver conservative, data-driven guidance across all ten health domains.
You can generate today's personalized daily coaching briefing by triggering a scheduled or on-demand prompt. The workflow uses your coaching_context and weekly nutrition summaries to dispatch ten subagents, producing tailored health messages instantly.
Multi-agent daily coaching recommendations are constrained by built-in safety checks to ensure conservative, data-driven guidance. The system relies on available coaching_context and weekly nutrition summaries, meaning output quality depends on input data completeness.
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