Store and retrieve daily weight records in a JSON database by date.
npx skills add https://github.com/marcopeg/diary --skill weight-track-database
Please help me install this Agent Skill. Skill: Weight Track Database Source: https://github.com/marcopeg/diary/tree/main/.github/skills/weight-tracker-db Command: npx skills add https://github.com/marcopeg/diary --skill weight-track-database
Manages a lightweight JSON-based storage for recording and querying daily weight entries, simplifying persistence and retrieval of weight data.
Initialize or load the weight-tracker.json database and perform basic CRUD operations to manage weight entries.
High-intent search queries and answers about installing and using this skill.
Store daily weight tracking data in a JSON database by applying a deterministic year, month, and day mapping structure with numeric weight values. This structure ensures simple retrieval and consistent overrides for existing dates.
The best way to structure a JSON file for daily weight records is a strict year, month, and day hierarchical mapping. This deterministic data model simplifies adding, updating, and reading personal health tracking entries.
Yes, you can update an existing weight entry for a specific date without duplicating data. The database applies consistent overrides for existing dates within the year, month, and day structure.
No, this weight tracking database requires no external dependencies to run. It uses a lightweight JSON file to manage persistence and retrieval of daily weight entries.
Read and retrieve historical weight entries from a JSON file by targeting the specific date within the year, month, and day data structure. This provides a simple query workflow for personal health tracking.
heroveAnalyze weight loss data and compute BMR, TDEE, and energy gap.
meimeitouRecord time-series health metrics and query historical logs by type or date range.
davekilleenGenerate a daily plan from calendar events, tasks, and weekly priorities.
TeiNamPerform in-memory analytics on CSV, Parquet, and JSON files with DuckDB.
