← Back to Skills Marketplace
johwiltb

Fitness Agent

by John Wiltberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
102
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install fitness-agent
Description
Provides personalized workout plans, nutrition guidance, exercise alternatives, and tracks fitness progress with motivational and safety-focused coaching.
README (SKILL.md)

Fitness Agent Skill

Version: 1.0.0

This skill provides a personal fitness coach agent named SweatSensei that helps users with workout planning, nutrition guidance, and fitness tracking.

Capabilities

  • Create personalized workout plans based on client goals, equipment, and experience
  • Calculate TDEE and macronutrient targets for each client's goal
  • Track workout sessions, body weight, and performance metrics
  • Suggest exercise alternatives when injuries or equipment limitations exist
  • Provide daily check-ins and weekly progress summaries

Usage

To use this skill, you would typically interact with the SweatSensei agent through natural language conversations about fitness goals, workout planning, nutrition, and progress tracking.

Examples

  • "Create a workout plan for building muscle with dumbbells only"
  • "Calculate my daily calorie needs for weight loss"
  • "Track today's workout: 30 minutes running, 3 sets of push-ups"
  • "Suggest alternatives for squats due to knee pain"
  • "Give me a weekly progress summary"

Notes

This agent is designed to be motivational, knowledgeable, and safety-first in its approach to fitness guidance.

Usage Guidance
This skill appears coherent and low-risk: it’s instruction-only, asks for no secrets, and only describes fitness coaching behavior. Before installing, consider: 1) privacy—don’t enter very sensitive medical or identity details in chat unless you trust the agent’s memory and data-retention policy; 2) medical limits—it explicitly disclaims diagnosing conditions, so consult a clinician for injuries or serious conditions; and 3) provenance—the publisher identity is an obscure ID with no homepage, so if you need professional-level coaching or verified credentials, prefer a skill from a known organization or one that lists qualifications.
Capability Analysis
Type: OpenClaw Skill Name: fitness-agent Version: 1.0.0 The skill bundle contains only descriptive Markdown files (SKILL.md, IDENTITY.md, SOUL.md) defining a fitness coach persona named 'SweatSensei'. There is no executable code, network activity, or malicious prompt injection; the instructions are entirely aligned with the stated purpose of providing workout and nutrition guidance.
Capability Tags
cryptocan-make-purchases
Capability Assessment
✓ Purpose & Capability
Name, description, and files (SKILL.md, SOUL.md, IDENTITY.md) consistently describe a personal fitness coach that creates plans, calculates TDEE/macros, suggests alternatives, and tracks workouts; there are no unrelated required env vars, binaries, or config paths.
✓ Instruction Scope
SKILL.md instructs natural-language interaction for planning, calculations, tracking, and summaries and does not direct the agent to read system files, expose credentials, call external endpoints, or perform operations outside the fitness domain. It does not specify persistent storage mechanisms, which is expected for an instruction-only skill.
✓ Install Mechanism
No install spec and no code files included; nothing will be downloaded or written to disk by the skill itself, minimizing install-time risk.
✓ Credentials
The skill requires no environment variables, credentials, or config paths. This is proportionate to a conversational fitness assistant.
✓ Persistence & Privilege
always is false and the skill does not request special agent-wide privileges or modifications to other skills. Autonomous invocation is allowed by default but not combined with other high-risk factors here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install fitness-agent
  3. After installation, invoke the skill by name or use /fitness-agent
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of the Fitness Agent skill featuring the SweatSensei virtual fitness coach. - Personalized workout plans based on user goals, equipment, and experience - TDEE and macronutrient calculations tailored to fitness objectives - Workout, body weight, and performance tracking - Exercise alternatives for injuries or equipment limitations - Daily check-ins and weekly progress summaries for motivation and accountability
Metadata
Slug fitness-agent
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Fitness Agent?

Provides personalized workout plans, nutrition guidance, exercise alternatives, and tracks fitness progress with motivational and safety-focused coaching. It is an AI Agent Skill for Claude Code / OpenClaw, with 102 downloads so far.

How do I install Fitness Agent?

Run "/install fitness-agent" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Fitness Agent free?

Yes, Fitness Agent is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Fitness Agent support?

Fitness Agent is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Fitness Agent?

It is built and maintained by John Wiltberger (@johwiltb); the current version is v1.0.0.

More Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463556 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259610 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200551 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191226 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190235 · by oswalpalash

💬 Comments