MCP App StoreMCP App Store
from vitaclaw17
Analyzes caffeine intake and sleep data to identify sensitivity thresholds, predict safe cutoff times, and provide personalized recommendations to improve sleep
Analyzes the relationship between a user's caffeine consumption and sleep quality. The skill coordinates beverage logging, applies a half-life decay model to estimate residual caffeine, analyzes sleep metrics (duration, efficiency, onset latency, stages when available), correlates intake patterns with sleep outcomes, and generates personalized cutoff times and recommendations. Optional genotype (CYP1A2) analysis can adjust metabolism assumptions. Outputs daily and weekly reports plus genotype summaries when provided.
Use this skill when a user drinks caffeinated beverages regularly and wants to understand or improve how caffeine affects their sleep — e.g., after tracking beverages for several days, when experiencing prolonged sleep onset, or to set a personalized caffeine cutoff time. Also useful for weekly trend analysis and genotype-informed guidance.
Likely compatible with general Agent Skills-capable assistants that expose Read/Grep/Write/Edit tools and can call sub-skills for tracking and analysis (Claude Code, Cursor-style agents, Copilot-like assistants).
Caffeine & Sleep Advisor skill coordinates 8 sub-skills in a chain to analyze caffeine-sleep correlations, including half-life decay modeling, sleep scoring, trend analysis, and optional CYP1A2 genotype analysis. No scripts were bundled; the skill is entirely SKILL.md-driven orchestration. The documentation is thorough with specific formulas, reference tables, alert rules, output templates, and a medical disclaimer. Well-structured for a health-advisory skill with no security concerns.
Clean skill with no security issues. Pure documentation/orchestration skill with no scripts. Good example of a well-structured multi-step advisory skill. Main risk is dependency on 8 other skills that may not be installed.
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