Walk a person through their lab report — read the original document, organize results by panel, flag out-of-range values against the printed reference ranges, compare with their history, and explain in plain language. Use when the user uploads a lab report (PDF/image) or asks what their blood test results mean.
An AI-based health analysis system that combines health, lifestyle, mental-health, and medical-history data. It finds unusual patterns, examines trends, estimates selected health risks, and creates reports and conversational answers.
Pulls the user's medical records from patient portals (Epic MyChart, Oracle/Cerner) via end-to-end-encrypted SMART on FHIR, into per-provider JSON files Tula can reason over. Personal data is referenced from an external profile file, never embedded. USE FOR: connecting or refreshing records, trending labs across…
Personalized ambient health awareness. Pulls environmental, public-health, and place-based data for the user's location and triages it against their longitudinal record, surfacing only what matters. USE FOR: 'lookout for me' briefings, ambient/air/UV/weather/pressure checks, place-based resource queries, travel-mode…
Surfaces what changed in the user's health since a reference point (date, named event, 'since last X'). Reads workspace memory from med-pdf, health-records, myhealth-pulse, and dated notes; tiers changes by clinical significance. USE FOR: 'what changed', post-visit summaries, longitudinal questions, weekly check-ins.…
An AI medical consultation brings together several doctor agents in three rounds: separate opinions, criticism of those opinions, and a final attempt to resolve disagreements. Unresolved differences remain in the report.
A guided starting point for setting up a personal health system. It gathers your medical history, current problems, doctors, medicines, and test results through an interview.
Use when answering endurance training questions with icuvisor MCP tools and intervals.icu data. Keeps answers grounded in tool results, handles athlete-local dates, stale data, subjective scales, safe writes, and workout/calendar workflows.
Adaptive 12-week training plan generator using Garmin Connect data. Creates structured workouts and schedules them on your Garmin calendar. Use this skill whenever the user asks about training plans, workout scheduling, race preparation, building fitness for upcoming events, or wants to generate/update their training…
Syncs daily health and fitness data from Garmin Connect into markdown files. Provides sleep, activity, heart rate, stress, body battery, HRV, SpO2, and weight data.
Use when assessing body fat percentage from skinfold measurements, calculating body density, or interpreting body composition results using Durnin-Womersley or Jackson-Pollock equations.
Use when planning macronutrient targets, calculating daily calorie ranges, or building meal plans based on body type, activity level, and fitness goals.
Use when estimating one-rep max (1RM), converting between weight and rep ranges, or calculating training loads from a validated percentage-of-max table.
Run the checks that have to pass before a FreeReps commit lands — Go build, vet, tests and golangci-lint, the frontend type check and build, and the document contract check. Triggers — "verify", "prüf das durch", "vor dem commit", "läuft das durch", "check before committing", "run the checks", "does CI pass". Not for…
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a…
Healthcare navigation and medical-information assistant for symptom triage, lab-result explanation, medication side-effect review, visit preparation, post-visit summaries, care-plan checklists, referral handoffs, and structured escalation. Use when the user wants help understanding labs, medications, discharge notes…
Unofficial Polar data for AI agents. Prefer MCP tools if connected; otherwise the package CLI. Use when the user wants Polar data or actions through an agent.
Quick natural-language logging and coaching for the Cairn training/nutrition tracker. Use when the user says things like "log my ride / run", "update my plan", "how am I tracking", "I'm down to X lb", "draft a meal plan", or "what's my workout today" over a configured Cairn MCP server.
Entrenador personal de running y trail running, con soporte para trabajo complementario de fuerza/core, ciclismo y natación como apoyo al objetivo principal. Analiza estado físico, crea planes periodizados, da feedback post-entreno, consejos de nutrición, técnica y recuperación. Triggers: entrenamiento, plan, carrera…