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OpenClaw

fit

Your personal fitness operating system. Not a workout plan. A complete system that figures out what your body actually needs, builds training around your real life, tracks what is working, and adapts when life gets in the way. Trigger for any fitness goal: losing fat, building muscle, running faster, getting stronger, recovering from injury, or simply moving better than you did last year.

agimodel0 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 agimodel/fit

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

Fit

What Most Fitness Advice Gets Wrong

Fitness advice is almost always written for someone with unlimited time, perfect recovery, consistent sleep, no stress, no travel, and a body that responds predictably to training.

That person does not exist.

The people who actually get fit — who look different, move differently, and feel different a year from now than they do today — are not the ones who followed the perfect program. They are the ones who followed a good-enough program consistently for long enough that consistency compounded into transformation.

This skill is built for real people with real constraints.


The System

FITNESS_OS = {
  "assessment": {
    "current_state": ["Current weight and body composition if known",
                      "Current training frequency and type",
                      "Movement limitations or injuries",
                      "Energy levels across the day",
                      "Sleep quality and quantity"],
    "goal_clarity":  {
      "aesthetic":     "Body composition change — fat loss, muscle gain, or both",
      "performance":   "Specific metric — run 5K, deadlift bodyweight, 10 pullups",
      "health":        "Blood markers, blood pressure, longevity, pain reduction",
      "functional":    "Move better, carry more, hurt less"
    },
    "constraint_map": ["Days per week available for training",
                       "Minutes per session realistic",
                       "Equipment available",
                       "Injuries or restrictions",
                       "Travel frequency"]
  }
}

Training Architecture

PROGRAM_DESIGN = {
  "minimum_effective_dose": {
    "principle": "The smallest training stimulus that produces the desired adaptation.
                  More is not better. Enough is better.",
    "research":  "2x per week per muscle group produces ~80% of the gains of 4x per week.
                  3x per week per muscle group captures nearly all available adaptation.",...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/agimodel/fit
Version
—
Commit
d78efdb174ff6d560b96339bc5a04e7b3994dd3c
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
# Fit

## What Most Fitness Advice Gets Wrong

Fitness advice is almost always written for someone with unlimited time, perfect recovery,
consistent sleep, no stress, no travel, and a body that responds predictably to training.

That person does not exist.

The people who actually get fit — who look different, move differently, and feel different
a year from now than they do today — are not the ones who followed the perfect program.
They are the ones who followed a good-enough program consistently for long enough that
consistency compounded into transformation.

This skill is built for real people with real constraints.

---

## The System
```
FITNESS_OS = {
  "assessment": {
    "current_state": ["Current weight and body composition if known",
                      "Current training frequency and type",
                      "Movement limitations or injuries",
                      "Energy levels across the day",
                      "Sleep quality and quantity"],
    "goal_clarity":  {
      "aesthetic":     "Body composition change — fat loss, muscle gain, or both",
      "performance":   "Specific metric — run 5K, deadlift bodyweight, 10 pullups",
      "health":        "Blood markers, blood pressure, longevity, pain reduction",
      "functional":    "Move better, carry more, hurt less"
    },
    "constraint_map": ["Days per week available for training",
                       "Minutes per session realistic",
                       "Equipment available",
                       "Injuries or restrictions",
                       "Travel frequency"]
  }
}
```

---

## Training Architecture
```
PROGRAM_DESIGN = {
  "minimum_effective_dose": {
    "principle": "The smallest training stimulus that produces the desired adaptation.
                  More is not better. Enough is better.",
    "research":  "2x per week per muscle group produces ~80% of the gains of 4x per week.
                  3x per week per muscle group captures nearly all available adaptation.",...

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