skills.rest
junghan0611
junghan0611COMMUNITY
Explore all skills by this author →
Website𝕏@junghanacsGitHub

lifetract

Consolidates Samsung Health and aTimeLogger data into unified, JSON-friendly per-day summaries.

6|Updated Nov 14, 2025
Search Tags:#json-output#data-aggregation#health-data#time-tracking#lifetract#denote-id
One-click install
npx skills add https://github.com/junghan0611/agent-config --skill lifetract
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lifetract
Source: https://github.com/junghan0611/agent-config/tree/main/skills/lifetract
Command: npx skills add https://github.com/junghan0611/agent-config --skill lifetract

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Consolidate health metrics from Samsung Health and time-tracking data from aTimeLogger into a single, per-day view with consistent Denote IDs, enabling seamless analysis and reasoning for personal health and productivity.

Core Features & Use Cases

  • Unified data model across Samsung Health (sleep, heart rate, steps, stress, exercise, weight, HRV) and aTimeLogger intervals, aligned by Denote IDs.
  • DB-first architecture with lifetract.db for fast queries and a CSV fallback when the database is unavailable.
  • JSON output designed for agents and automated reasoning, ready to be consumed by downstream tools.
  • Use cases include daily health and activity summaries, cross-day timelines, and integrated views of health metrics with time-category logs.

Quick Start

Run lifetract today to view today's integrated health and time-tracking summary.

Frequently Asked Questions about lifetract

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I consolidate Samsung Health and aTimeLogger data into a single view?▼

To consolidate health and time-tracking data, this Skill merges Samsung Health metrics and aTimeLogger intervals into a unified, per-day view aligned by Denote IDs. It outputs deterministic JSON ready for automated analysis.

Can I query my personal health data without a live database connection?▼

You can query personal health data without a live database by using the CSV fallback. The Skill uses a DB-first architecture with lifetract.db for fast queries, but automatically falls back to CSV when the DB is unavailable.

What health and time metrics are available for daily, weekly, and monthly analysis?▼

Metrics available for daily, weekly, and monthly analysis include sleep, heart rate, steps, stress, exercise, weight, HRV, and time-category intervals. These unified metrics are consolidated from Samsung Health and aTimeLogger sources.

How do I generate JSON output from my health and time-tracking data for agents?▼

To generate JSON output from health and time-tracking data for agents, the Skill processes your consolidated daily metrics and produces deterministic JSON. This output is specifically designed for consumption by downstream automated reasoning tools.

Do I need a local lifetract.db file to analyze my health and time data?▼

You do not strictly need a local lifetract.db file to analyze health and time data. While the database provides fast DB queries, the Skill includes a CSV fallback mechanism to ensure data aggregation remains functional without it.

Related Skills

Explore More Data & Analytics Skills→
TeamDay-AITeamDay-AI
2

sqlite

Create and query SQLite databases for local data storage and CSV staging.

Official
Intermediate
ASRagabASRagab

session-analytics

Analyze coding agent session histories to reveal usage patterns and productivity insights.

Community
Intermediate
DoubleslashSEDoubleslashSE
4

health-checks

Assess infrastructure health with standardized checks for GitHub Actions, Railway, Supabase, and Postgres.

Community
Basic
glebisglebis
345

health-data

Query Apple Health SQLite data to generate Markdown, JSON, and FHIR R4 reports.

Community
Advanced