mcpbeat

Nutrition Planning

cosmicstack-labs/nutrition-planning

Macronutrients, meal prep, dietary patterns, supplementation, hydration, and sustainable eating

389 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
365
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/cosmicstack-labs/mercury-agent-skills --skill nutrition-planning

The instruction itself

7 sections, as written by the author

Nutrition Planning

Build sustainable nutrition plans for health and performance.

Macronutrient Basics

| Macro | Cal/g | Role | Sources |

|-------|-------|------|---------|

| Protein | 4 | Muscle repair, satiety | Meat, eggs, beans, tofu |

| Carbs | 4 | Energy, recovery | Grains, fruit, vegetables |

| Fat | 9 | Hormones, absorption | Nuts, oils, avocado |

Daily Targets (General)

  • Protein: 1.6-2.2g per kg of bodyweight
  • Fat: 0.8-1.0g per kg of bodyweight
  • Carbs: Remaining calories (2-4g per kg)

Meal Prep Strategy

Weekly Workflow

  • Sunday: Plan 5 dinners, shop, batch-cook proteins + grains
  • Pre-portion: Containers for work lunches
  • Prep veggies: Wash, chop, store in airtight containers
  • Sauces/dressings: Make 1-2 versatile options

Template Day

| Meal | Composition |

|------|-------------|

| Breakfast | Protein + complex carb |

| Lunch | Lean protein + veggies + grain |

| Dinner | Protein + veggies + healthy fat |

| Snacks | Fruit, nuts, yogurt |

Sustainable Habits

  • 80/20 rule: 80% nutritious, 20% flexible
  • Hydrate: 2-3L water daily (more if active)
  • Eat whole foods > supplements
  • Eat slowly — it takes 20 min for satiety signals
  • One change at a time — consistency beats perfection

How to use it

Copy the folder

Take cosmicstack-labs/nutrition-planning from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.