Agent skill

Fitness Program

by revfactory in revfactory/harness-100

A full pipeline where an agent team collaborates to generate everything from goal-based fitness program design to progress tracking templates.

Apache-2.0Auto-check passedProductivity & Automation

Install Fitness Program

skills CLI
$ npx skills add revfactory/harness-100 --skill fitness-program -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install revfactory/harness-100 fitness-program --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/en/74-fitness-program/.claude/skills/fitness-program .claude/skills/fitness-program && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
fitness-program
GitHub stars
1.3k
Token cost
~1.8k tokens
SKILL.md length
696 words
Files
1
Skills in repo
464
Repo updated
First seen
Licence
Apache-2.0

At a glance

A full pipeline where an agent team collaborates to generate everything from goal-based fitness program design to progress tracking templates.

  • Works in 3 steps: Preparation (Orchestrator handles… → Team Assembly and Execution → Integration and Final Deliverables
  • Requests related to fitness and training programs such as create a workout program
  • SKILL.md covers Execution Modes, Agent Roster, Workflow and Mode by Request Scope, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Fitness Program is an agent skill from revfactory/harness-100. A full pipeline where an agent team collaborates to generate everything from goal-based fitness program design to progress tracking templates. Use this skill for requests related to fitness and training programs such as 'create a workout program', 'gym routine', 'strength program', 'diet workout', 'home training', 'weekly workout schedule', 'bulk-up program', 'marathon training', 'workout routine recommendation', 'PPL program', 'bodyweight routine', etc. If an existing program is provided, analysis or improvement…

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation, covering Health and fitness tracking. The licence is Apache-2.0.

When your agent uses it

  • Requests related to fitness and training programs such as create a workout program
  • Strength program
  • Weekly workout schedule
  • Bulk-up program

Example prompts

  • “create a workout program”
  • “gym routine”
  • “strength program”
  • “/fitness-program”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Preparation (Orchestrator handles directly)
  2. Team Assembly and Execution
  3. Integration and Final Deliverables

What it can do on your machine

Read from SKILL.md and the folder at commit 8e8d35c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Fitness Program loads about 1.8k tokens when it runs. Until then it costs about 183 tokens; SKILL.md has 696 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~183
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 696 words, ~1,844 tokens.

Download SKILL.mdSave it as .claude/skills/fitness-program/SKILL.md (or your agent's skills folder).
name
fitness-program
description
A full pipeline where an agent team collaborates to generate everything from goal-based fitness program design to progress tracking templates. Use this skill for requests related to fitness and training programs such as 'create a workout program', 'gym routine', 'strength program', 'diet workout', 'home training', 'weekly workout schedule', 'bulk-up program', 'marathon training', 'workout routine recommendation', 'PPL program', 'bodyweight routine', etc. If an existing program is provided, analysis or improvement is supported. However, rehabilitation program prescription (physical therapist work), performance-enhancing drug consultation, and real-time personal training are outside the scope of this skill.

Fitness Program — Full Design Pipeline

An agent team collaborates to generate goal-based program design → weekly schedule → exercise guide document → nutrition pairing chart → progress tracking template all at once.

Execution Modes

Agent Team — 4 agents communicate directly via SendMessage and perform cross-validation.

Agent Roster

AgentFileRoleType
program-architect.claude/agents/program-architect.mdProgram design, periodization, schedulinggeneral-purpose
exercise-guide.claude/agents/exercise-guide.mdExercise descriptions, form guides, substitutionsgeneral-purpose
nutrition-linker.claude/agents/nutrition-linker.mdNutrition strategy per workout, supplements, timinggeneral-purpose
template-builder.claude/agents/template-builder.mdLogs, tracking sheets, evaluation formsgeneral-purpose

Workflow

Phase 1: Preparation (Orchestrator handles directly)
  1. Extract from user input:
    • Goal: hypertrophy / strength / fat loss / fitness improvement / rehabilitation
    • Fitness level: beginner / intermediate / advanced, training history
    • Available resources: X sessions/week, X minutes/session, equipment (gym / home / bodyweight)
    • Physical info (optional): sex, age, height, weight
    • Injury history (optional): area, current condition
    • Existing program (optional): currently running program
  2. Create a _workspace/ directory at the project root
  3. Organize inputs and save to _workspace/00_input.md
  4. Determine execution mode based on request scope
Phase 2: Team Assembly and Execution
OrderTaskOwnerDepends onOutput
1Program design + weekly schedulearchitectnone01_program_design.md, 02_weekly_schedule.md
2aExercise guide documentguideTask 103_exercise_guide.md
2bNutrition pairing chartlinkerTask 104_nutrition_plan.md
3Progress tracking templatebuilderTasks 1, 2a, 2b05_tracking_template.md

Tasks 2a (exercise guide) and 2b (nutrition pairing) run in parallel.

Inter-agent communication flow:

  • architect completes → sends exercise list and precautions to guide, sends intensity/volume/goal to linker, sends periodization schedule to builder
  • guide completes → sends high-intensity exercise list to linker, sends logging items to builder
  • linker completes → sends nutrition tracking items to builder
  • builder integrates all information to create the template; if missing items are found, requests clarification from the relevant agent
Phase 3: Integration and Final Deliverables
  1. Review all files in _workspace/
  2. Verify consistency across program–schedule–guide–nutrition–template
  3. Report final summary to the user:
    • Program design doc — 01_program_design.md
    • Weekly schedule — 02_weekly_schedule.md
    • Exercise guide — 03_exercise_guide.md
    • Nutrition pairing chart — 04_nutrition_plan.md
    • Tracking template — 05_tracking_template.md

Mode by Request Scope

User Request PatternExecution ModeAgents Involved
"Build me a full workout program"Full PipelineAll 4
"Just the weekly workout schedule"Schedule Modearchitect only
"Teach me squat form"Guide Modeguide only
"Link a bulk-up diet" (program exists)Nutrition Modelinker only
"Make a workout log"Template Modebuilder only
"Analyze this program" (existing file)Analysis Modearchitect + guide

Using existing files: If the user provides an existing program, copy it to _workspace/01_program_design.md and skip the architect.

Show full SKILL.md (294 more words)Show less

Data Transfer Protocol

StrategyMethodPurpose
File-based_workspace/ directoryStore and share primary deliverables
Message-basedSendMessageReal-time key information transfer, revision requests
Task-basedTaskCreate/TaskUpdateProgress tracking, dependency management

File naming convention: {order}_{agent}_{deliverable}.{extension}

Error Handling

Error TypeStrategy
Insufficient user infoDesign using conservative (beginner) baseline; note "fitness level unconfirmed"
Injury historyExclude or substitute exercises for the affected area + "consult a specialist" note
Equipment limitationsCompose with substitute exercises within available equipment
Agent failureRetry once → if still failing, proceed without that deliverable and note the omission in the report
Program inconsistencyRequest revision from architect (up to 2 times)

Test Scenarios

Normal Flow

Prompt: "I'm a beginner at the gym and want a hypertrophy-focused program, 4 days a week. 178cm, 75kg, 28-year-old male." Expected output:

  • Program: upper/lower 4-day split, 12-week periodization (adaptation → accumulation → intensification → deload)
  • Schedule: 4 sessions/week × 60 min, sets/reps/RPE specified per exercise
  • Guide: form descriptions + substitutions for all exercises in the program (15–20 exercises)
  • Nutrition: bulk-up calories (TDEE+300), macros, pre/post-workout timing
  • Template: daily log, weekly summary, 4-week evaluation form, body composition tracker
Existing File Flow

Prompt: "Here's my current PPL routine — can you pair it with a diet?" + program file attached Expected output:

  • Copy existing program to _workspace/01_program_design.md
  • Nutrition mode: deploy linker, analyze existing program intensity, generate nutrition pairing chart
Error Flow

Prompt: "I have a herniated disc — create a workout program for me." Expected output:

  • Injury history applied: exclude high-lumbar-load exercises (deadlifts, barbell squats)
  • Include core stabilization exercises, suggest substitutes (leg press, machine-based)
  • All exercises marked with "lumbar caution" ⚠️ + "consult orthopedics/rehabilitation medicine"
  • Progressive overload set more conservatively

Per-Agent Extended Skills

AgentExtended SkillPurpose
exercise-guideexercise-biomechanicsExercise biomechanics, muscle activation, substitution exercises
program-architect, template-builderperiodization-enginePeriodization design, volume/intensity calculation, deload strategy
chitect, template-builderperiodization-enginePeriodization design, volume/intensity calculation, deload strategy

© revfactory, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in en/74-fitness-program/.claude/skills/fitness-program of revfactory/harness-100.

Open the folder on GitHubat commit 8e8d35c

Compare with similar skills

Fitness Program next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Fitness Program compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fitness Program this skillrevfactory/harness-1001.3k—~1.8kAutomated safety check: PassApache-2.0
Fitness Analyzerhuifer/WellAlly-health9606 repos~1.3kAutomated safety check: PassMIT
Coachfelixrieseberg/claude-coach1941 repos~4.9kAutomated safety check: PassMIT
Master Ajahn Chahxr843/Master-skill4421 repos~2kAutomated safety check: PassCC-BY-NC-SA-4.0
Mental Health Analyzerhuifer/WellAlly-health9606 repos~3.2kAutomated safety check: PassMIT
Nutrition Analyzerhuifer/WellAlly-health9606 repos~3.3kAutomated safety check: PassMIT

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Questions about Fitness Program

What does Fitness Program do?

A full pipeline where an agent team collaborates to generate everything from goal-based fitness program design to progress tracking templates. Fitness Program is an agent skill from revfactory/harness-100. A full pipeline where an agent team collaborates to generate everything from goal-based fitness program design to progress tracking templates.

When should I use Fitness Program?

Fitness Program fits situations like: requests related to fitness and training programs such as create a workout program; strength program; weekly workout schedule; bulk-up program.

How do I install Fitness Program in Claude Code?

Run `npx skills add revfactory/harness-100 --skill fitness-program -a claude-code`. Or copy the skill folder (en/74-fitness-program/.claude/skills/fitness-program in revfactory/harness-100) into .claude/skills/fitness-program in your project. Claude Code loads it when a task matches its description.

How do I install Fitness Program in Codex?

Run `npx skills add revfactory/harness-100 --skill fitness-program -a codex`. Or copy the skill folder (en/74-fitness-program/.claude/skills/fitness-program in revfactory/harness-100) into .agents/skills/fitness-program in your project. Codex loads it when a task matches its description.

Can I use Fitness Program in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add revfactory/harness-100 --skill fitness-program -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fitness-program, .gemini/skills/fitness-program, .github/skills/fitness-program and .opencode/skills/fitness-program in your project.

What does Fitness Program need to run?

SKILL.md names no scripts, command-line tools or credentials: Fitness Program is instructions for the agent only.

Does Fitness Program access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Fitness Program safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Fitness Program use?

Fitness Program is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Fitness Program use?

About 1.8k tokens (SKILL.md is roughly 7.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Fitness Program?

Skills that share tags, products or a category with Fitness Program: Fitness Analyzer (huifer/WellAlly-health, 960 stars), Coach (felixrieseberg/claude-coach, 194 stars), Master Ajahn Chah (xr843/Master-skill, 442 stars) and Mental Health Analyzer (huifer/WellAlly-health, 960 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fitness Program?

revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,290 GitHub stars. The repository holds 464 skills in this directory. The repository was last updated on March 22, 2026.

Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.