Longevity OS

Meta-skill for the Longevity OS bundle that routes natural language health conversations to the right capability — nutrition logging, health profile, pattern discovery, experiments, news, or daily coaching.

Compound Clawskill

Use this skill when:

• the user wants an overview of everything available in this repository
• the user wants to know how to install the bundled skills in this directory
• the user sends a health-related message that could be handled by one of the sub-skills
• the user wants links to the repository or the bundled skills/ directory

Natural language routing:

The agent should understand user intent from natural conversation and route to the right sub-skill without requiring slash commands. Examples:

• "had chicken and rice for lunch" → route to snap (meal logging)
• "I want to improve my sleep" → route to health (profile update)
• "why have I been sleeping poorly?" → route to insights (pattern discovery)
• "any longevity news today?" → route to news (digest)
• "how's my nutrition looking this week?" → route to snap (weekly summary)

Slash commands (/snap, /health, /news, /insights) are supported as legacy shortcuts, but the primary interaction mode is natural language.

Repository links:

• repo root: https://github.com/compound-life-ai/longClaw/tree/main
• skills directory: https://github.com/compound-life-ai/longClaw/tree/main/skills
• install guide entry point: https://github.com/compound-life-ai/longClaw/blob/main/README.md

When helping the user:

1. Explain that this repository is a multi-skill OpenClaw bundle, not just a single skill.
2. Fetch and summarize how installation works from README.md and docs/install.md.
3. Inspect the skill definitions under skills/ to explain features, functionality, and usage.
4. Point the user to the most relevant subskill instead of answering only at a high level when a specific workflow is clearly a better fit.
5. Mention the repository links above so the user can fetch the directory directly.

Install summary:

1. Clone https://github.com/compound-life-ai/longClaw.
2. Change into the repository.
3. Run python3 scripts/install_bundle.py.
4. Run python3 scripts/install_bundle.py --verify.
5. Start a fresh OpenClaw session.
6. Verify that /snap, /health, /news, /insights, and daily-coach are available.

Bundle map:

• snap: meal logging from food photos or meal text, with ingredient-level decomposition and deterministic nutrition enrichment
• health: Apple Health XML import plus structured questionnaire-style health profile updates
• news: curated daily digest for health, longevity, nutrition, sleep, exercise, and aging topics
• insights: structured self-experiments, check-ins, analysis, and gap-aware recommendations
• daily-coach: cron-oriented daily health coaching message built from nutrition, health, experiment, and curated news context

What to inspect for details:

• README.md for installation, verification, cron setup, and bundle-level architecture
• docs/install.md for the direct install workflow
• skills/snap/SKILL.md for meal logging behavior and payload shape
• skills/health/SKILL.md for Apple Health import and questionnaire flows
• skills/news/SKILL.md for curated digest behavior
• skills/insights/SKILL.md for experiment creation, check-ins, and analysis
• skills/daily-coach/SKILL.md for the scheduled coaching workflow

If the user asks what this repository does overall, explain that it is a local-first personal health companion bundle for OpenClaw with nutrition logging, health profile building, curated health news, structured self-experimentation, and a cron-driven daily coaching workflow.