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PythonReactSEOPDF
OpenClaw

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.

harrey4010 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install harrey401/lofy-fitness

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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"
}

Parsing Natural Language

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

  1. Always read data/fitness.json before responding about fitness
  2. Update the JSON immediately after any fitness conversation
  3. Keep responses short — log confirmation + one comment
  4. Nudge logic: max 1 gym reminder per day, only if behind weekly target
  5. Track consistency over intensity — showing up matters more
  6. If user mentions injury or pain, suggest...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/harrey401/lofy-fitness
Version
—
Commit
c60b01e8f28b1fa19a6326a622e6ad7485bcd232
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# 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`

```json
{
  "profile": { "goal": "", "weight_log": [], "start_date": null },
  "workouts": [],
  "meals": [],
  "prs": {},
  "weekly_summary": [],
  "current_week": { "workout_count": 0, "target": 0, "workouts": [] }
}
```

### Workout Entry Format
```json
{
  "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
```json
{
  "date": "2026-02-07",
  "meal": "lunch",
  "description": "Chicken bowl with rice",
  "estimated_calories": 650,
  "estimated_protein_g": 45,
  "time": "12:30"
}
```

## Parsing Natural Language

### 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

1. Always read `data/fitness.json` before responding about fitness
2. Update the JSON immediately after any fitness conversation
3. Keep responses short — log confirmation + one comment
4. Nudge logic: max 1 gym reminder per day, only if behind weekly target
5. Track consistency over intensity — showing up matters more
6. If user mentions injury or pain, suggest...

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