Skill: madeyexz/longevity-os (version 0.1.1)

--- name: compound-clawskill description: 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. user-invocable: true --- # 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.


Security scan verdicts — ClawScan: suspicious | static analysis: suspicious | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)