Setup & Installation
openclaw skills install @harrey401/lofy-fitness
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
npx clawhub install lofy-fitness
What This Skill Does
Fitness accountability layer for the Lofy AI assistant. Logs workouts and meals from natural language, detects personal records using the Epley formula, and generates weekly progress summaries. Tracks consistency through conversation without requiring a separate app.
Eliminates manual data entry by parsing free-form descriptions into structured logs that persist across sessions.
When to use it
- Logging a gym session by describing exercises in plain text
- Tracking a meal estimate after eating out
- Finding out if a new bench press set is a PR
- Getting a reminder when behind on weekly workout target
- Reviewing a weekly fitness trend report
Example Workflow
Here's how your AI assistant might use this skill in practice.
INPUT
User says: bench 225x3 225x2, then had a chicken bowl for lunch
AGENT
- 1Read data/fitness.json to load current workout and PR history
- 2Parse bench press sets: 225×3 and 225×2, compute Epley 1RM (~247.5 lb)
- 3Compare computed 1RM against stored bench PR and update if exceeded
- 4Log meal as lunch, estimate ~650 cal and ~40g protein
- 5Write updated workouts, meals, and PR fields back to data/fitness.json
OUTPUT
Logged bench press (2 sets) and lunch. New bench PR: ~248 lb 1RM. Workout 3 of 4 this week.