Use Case
Diet Logger is a powerful AI agent skill that extends your assistant with new capabilities. Record daily meals and save to Obsidian library. Used when the user is asked to record breakfast, lunch, dinner, snacks, food diary or similar food tracking tasks. Use the scripts/log_diet.py script to ensure a consistent format. This guide walks you through installing Diet Logger, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install Diet Logger: npx clawhub@latest --dir ~/.claude/skills install diet-logger
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to documents & notes to trigger Diet Logger
Review the output and refine your prompt for better results
Combine Diet Logger with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing Diet Logger
Help me get started with Diet Logger
What can Diet Logger do for my documents & notes workflow?
Show me an example of using Diet Logger
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install diet-loggerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install diet-loggerβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/diet-logger/π‘Extract and place the folder at the path above, then restart your agent.