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moody-cli

v1.1.0

Published

A CLI mindfulness mood tracker

Readme

Moody

Moody is a simple CLI mindfulness app to track your daily moods and reflections.

Features

  • Log your mood with a reflection note and optional tags (comma-separated)
  • View your mood history with numbered entries, including tags
  • Filter history by mood, date range, and multiple tags (all tags must match)
  • Delete individual entries or clear all entries
  • Export your mood data (including tags) to CSV
  • Set a daily reminder to check in at a custom time that is remembered until changed

Usage

1. Logging Mood with Tags

moody check-in

During the prompt, you can enter tags as a comma-separated list (e.g., work, urgent, stress) to categorize your mood entry.


2. Viewing History with Filtering

moody history [options]

Options for filtering:

| Option | Description | |---------------|--------------------------------------------| | --mood <mood> | Filter by mood (exact match) | | --tag <tag> | Filter by one or more tags (AND logic) (can specify multiple times) | | --from <YYYY-MM-DD> | Show entries on or after this date | | --to <YYYY-MM-DD> | Show entries on or before this date |

Example:

moody history --tag work --tag stress --mood Sad --from 2024-01-01

This command shows entries tagged both work and stress with mood Sad from January 1, 2024 onward.


3. Managing Custom Views

  • Save a view:

    moody view save <name> [filters...]
  • Load a view:

    moody view load <name>

Example:

moody view save focused --mood Happy --tag work --from 2024-01-01
moody view load focused

4. Export to CSV

moody export

Exports all mood entries to mood_log.csv, including tags.


5. Reminder

moody reminder

Set or update a daily reminder time. You’ll get a desktop notification plus a CLI prompt at the set time daily.


6. Data Management

moody delete <num>   # Delete a specific entry by its number
moody clear          # Clear all mood entries

Installation

npm install -g
npm link

Data Storage

  • Entries, configs, and views are saved locally in the data/ folder.
  • Exported CSV appears in the project root as mood_log.csv.

Enjoy mindful coding! 🌱