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Fitness Diet Planner Free
Weekly training + daily meal plans with deterministic calorie/macro math, photo meal logging, and progress auto-adjustment. Zero API keys.
Free
fitness-diet-planner-free
Example session with this skill installed
I'm a 31-year-old male, 176 cm / 84 kg, office job, goal: lose fat. At home I have dumbbells, a flat bench and a pull-up bar; I can train 4 days/week. Lactose intolerant, 3 meals a day. Build my weekly plan.
- Read your context and instructions
- Compiled the fitness-diet-planner-free
Summary
Collected your profile (male, 31, 176 cm / 84 kg, lactose-intolerant, home dumbbells, 4 days/week, cut -18%) and generated a full plan in fitness-plan/.
Energy & macro targets (computed, not guessed)
| Metric | Value |
|---|---|
| BMR (Mifflin-St Jeor) | 1790 kcal |
| TDEE (light activity) | 2461 kcal |
| Daily target | 2018 kcal (-18%) |
| Protein | 185 g (2.2 g/kg) |
| Carbs / Fat | 194 g / 56 g |
| Expected pace | -0.7% bodyweight / week |
Monday - Upper (home dumbbells)
| Exercise | Sets x reps | Rest |
|---|---|---|
| Dumbbell bench press | 4x6-8 | 2-3 min |
| One-arm dumbbell row | 4x6-8 | 2-3 min |
| Seated dumbbell press | 4x6-8 | 2-3 min |
| Pull-up | 4x6-8 | 2-3 min |
| Curl + triceps extension | 3x10-12 | 60-90 s |
Monday meals (lactose auto-filtered)
| Meal | Foods | kcal |
|---|---|---|
| Breakfast | Shrimp 195 g, rice 185 g, broccoli/cucumber, avocado 60 g | 592 |
| Lunch | Lean beef 270 g, brown rice 200 g, spinach/pepper, nuts 25 g | 950 |
| Dinner | Tuna 165 g, oats 60 g, tomato/mushroom, peanut butter 15 g | 625 |
| Total | actual macros 186 P / 194 C / 65 F | 2030 |
Next steps
Weigh in fasted every morning; in 2 weeks run the check-in (weight trend + adherence) and the engine adjusts calories automatically. Send a food photo any time to log a meal.

Connects securely to your tools. The creator never sees your data.
About this skill
fitness-diet-planner-free turns your body data, goals, diet preferences and available equipment into a complete weekly training plan plus daily meal plans. Calories and macros are computed by a deterministic Python engine (Mifflin-St Jeor / Katch-McArdle BMR, activity multipliers, goal-based deficit/surplus) — never guessed by the model.
Headline feature: photo meal logging. Send a food photo and the agent's own vision identifies dishes and portions, matched against a 75+ ingredient & Chinese-dish database, with intake checked against your daily targets. No API keys, no external services.
Also includes: equipment-aware training splits (bodyweight to full gym), injury-safe exercise swaps, diet & allergy filters (vegan, vegetarian, no-pork, lactose, gluten, nuts...), bi-weekly progress check-ins that auto-adjust calories with safety floors, and hard safety rails (rejects pregnancy deficits, BMI<17.5 cuts, aggressive intensity with eating-disorder history).
Stdlib-only, zero dependencies, MIT licensed. Works with Codex, Claude Code, Cursor and any SKILL.md-compatible agent. 20 self-tests, CI green on Python 3.10-3.13.


How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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