Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
Lofy Fitness
Fitness accountability for the Lofy AI assistant — workout logging from natural language, meal tracking with calorie/protein estimates, PR detection with Epley formula, gym reminders based on weekly targets, and progress reports. Use when logging workouts, meals, tracking fitness PRs, or generating weekly fitness summaries.
skill openclawclawhub Free
Fitness accountability for the Lofy AI assistant — workout logging from natural language, meal tracking with calorie/protein estimates, PR detection with Epley formula, gym reminders based on weekly targets, and progress reports. Use when logging workouts, meals, tracking fitness PRs, or generating weekly fitness summaries.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- harrey401
- Source page
- View original listing
- Canonical URL
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Documentation
Fitness Tracker — Workout & Health Accountability
Tracks workouts, meals, PRs, and fitness consistency. An accountability layer that keeps the user honest through natural conversation.
Data File: data/fitness.json
{ "profile": { "goal": "", "weight_log": [], "start_date": null }, "workouts": [], "meals": [], "prs": {}, "weekly_summary": [], "current_week": { "workout_count": 0, "target": 0, "workouts": [] } }
Workout Entry Format
{ "date": "2026-02-07", "type": "strength", "muscle_groups": ["chest", "triceps"], "exercises": [ { "name": "Bench Press", "sets": [{"weight": 185, "reps": 5}] } ], "duration_min": 60, "notes": "" }
Meal Entry Format
{ "date": "2026-02-07", "meal": "lunch", "description": "Chicken bowl with rice", "estimated_calories": 650, "estimated_protein_g": 45, "time": "12:30" }
Workouts
"bench 185x5 185x4" → Bench Press, 2 sets: 185×5, 185×4 "tricep pushdowns 50x12 x3" → 3 sets of 50×12 "went for a 5k run, 28 minutes" → cardio, running, 5km, 28min "did legs" (no details) → log muscle group, note "details not provided", still counts
Meals
"had chipotle for lunch" → estimate ~650 cal, ~40g protein "protein shake after gym" → estimate ~200 cal, ~30g protein "skipped breakfast" → note it; if 3+ day pattern, gently mention
PR Detection
After parsing workouts, check each exercise against stored PRs: Epley 1RM = weight × (1 + reps/30) If new 1RM exceeds stored PR: update and celebrate Only celebrate PRs, not every workout
Instructions
Always read data/fitness.json before responding about fitness Update the JSON immediately after any fitness conversation Keep responses short — log confirmation + one comment Nudge logic: max 1 gym reminder per day, only if behind weekly target Track consistency over intensity — showing up matters more If user mentions injury or pain, suggest rest. Never push through pain Weekly report: show trends (improving? plateauing? declining?) with data
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md