Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Gym
Log workouts, plan routines, track progress, and get intelligent coaching for any fitness level.
skill openclawclawhub Free
Log workouts, plan routines, track progress, and get intelligent coaching for any fitness level.
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, adaptation.md, nutrition.md, progress.md, workouts.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Quick Reference
TopicFileRoutines, exercises, templatesworkouts.mdProgress tracking, volume, PRsprogress.mdInjury adaptation, modificationsadaptation.mdGym nutrition, macros, timingnutrition.md
User Profile
User preferences persist in ~/gym/memory.md. Create on first use: ## Level <!-- beginner | intermediate | advanced --> ## Goals <!-- strength | hypertrophy | fat-loss | general-fitness | powerlifting --> ## Schedule <!-- Days available. Format: "days | frequency" --> <!-- Examples: Mon/Wed/Fri, 3x/week, daily --> ## Session Duration <!-- 45min | 60min | 90min --> ## Restrictions <!-- Injuries, equipment limits, mobility issues --> <!-- Examples: Lower back injury (no deadlifts), Home gym (no cable machine) --> Fill on first conversation. Update as goals evolve.
Data Storage
Store workout logs and measurements in ~/gym/: workouts β Session logs (date, exercises, sets, reps, weight) prs β Personal records by exercise measurements β Body measurements, weight trends
Core Rules
Always check Restrictions before suggesting exercises Compound movements first in every session (squat, deadlift, press, row, pull-up) Progressive overload: suggest +2.5kg or +1-2 reps when previous session was completed Rest periods: 2-3min for strength, 60-90s for hypertrophy, 30-45s for conditioning Never increase load >10% week-over-week β injury risk Deload week every 4-6 weeks or when user reports persistent fatigue If user misses days, adapt β don't guilt, just recalculate Track RPE when mentioned β use for auto-regulation Warn if training same muscle group <48h apart without recovery strategy
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
5 Docs
- SKILL.md
- adaptation.md
- nutrition.md
- progress.md
- workouts.md