genpark-personal-agent-post-exercise-epoc-recovery-skill
mcp
Uyari
Health Uyari
- License — License: MIT
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Low visibility — Only 7 GitHub stars
Code Gecti
- Code scan — Scanned 4 files during light audit, no dangerous patterns found
Permissions Gecti
- Permissions — No dangerous permissions requested
Bu listing icin henuz AI raporu yok.
Deterministic personal agent skill for modeling excess post-exercise oxygen consumption (EPOC), bi-exponential metabolic debt clearance, and post-workout fuel partitioning.
README.md
Post-Exercise EPOC & Metabolic Recovery Kinetics Skill
A sovereign personal agent capability for deterministic mathematical modeling of Excess Post-Exercise Oxygen Consumption (EPOC), bi-exponential recovery kinetics, and post-workout fuel replenishment timing.
Architecture
flowchart TD
Workout["Workout Parameters (Duration, %VO2max, Body Mass)"] --> BiExpModel["Gaesser-Brooks Bi-Exponential Kinetic Model"]
BiExpModel --> FastPhase["Fast Alactacid Phase (PCr & Oxymyoglobin Reloading)"]
BiExpModel --> SlowPhase["Slow Lactacid Phase (Cori Cycle, Q10 Thermal Debt)"]
FastPhase & SlowPhase --> CumulativeO2["Integrated Oxygen Debt (L) & Caloric Burn (kcal)"]
CumulativeO2 --> RecoveryTimeline["95% Clearance Horizon & Fuel Partitioning"]
RecoveryTimeline --> AgentGuidance["OpenClaw / Hermes Hydration & Refueling Directives"]
Quickstart
from client import PostExerciseEpocClient
client = PostExerciseEpocClient()
# Model recovery following a 45-minute interval workout
epoc = client.calculate_epoc_trajectory(
exercise_duration_min=45.0,
vo2_max_ml_kg_min=50.0,
exercise_intensity_pct_vo2max=82.0,
body_mass_kg=72.0,
post_exercise_time_min=30.0
)
print("Cumulative EPOC:", epoc["cumulative_epoc_o2_liters"], "L O2")
print("Calories Burned:", epoc["epoc_calories_expended_kcal"], "kcal")
print("Phase:", epoc["recovery_phase"])
MCP Server Integration
Add to your claude_desktop_config.json or OpenClaw tool registry:
{
"mcpServers": {
"post-exercise-epoc": {
"command": "python",
"args": ["/path/to/genpark-personal-agent-post-exercise-epoc-recovery-skill/mcp_server.py"]
}
}
}
License
MIT License.
Yorumlar (0)
Yorum birakmak icin giris yap.
Yorum birakSonuc bulunamadi