This skill logs and visualizes workouts in a local SQLite database, auto-filling rest times and recognizing equipment from images to tailor prompts.
npx playbooks add skill marswangyang/workout-tracker --skill workout-tracker
The Workout Tracker skill is used to log and visualize workouts, storing the data in a local SQLite database. It can auto-fill rest times and recognize equipment from images, using this information to tailor prompts for the user. A developer would use this skill when creating an application that needs to track and analyze workout data, providing a personalized experience for users.
The 22-word prompt provides structured prompt engineering guidance — covering detailed methodology and consistent output formats. Install it in one command.
This skill logs and visualizes workouts in a local SQLite database, auto-filling rest times and recognizing equipment from images to tailor prompts.
Workout Tracker is a free prompt engineering skill for AI coding agents. This skill logs and visualizes workouts in a local SQLite database, auto-filling rest times and recognizing equipment from images to tailor prompts.. It provides a specialized system prompt that configures your agent with prompt engineering expertise.
Run npx playbooks add skill marswangyang/workout-tracker --skill workout-tracker in your terminal to install Workout Tracker into your Claude Code session. It works immediately after installation.
Workout Tracker is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Workout Tracker is completely free and open source. The full source is available on GitHub at https://github.com/marswangyang/workout-tracker/tree/main/SKILL.md. You only need a subscription to the AI agent you use it with.
Weekly roundup of top Claude Code skills, MCP servers, and AI coding tips.