Lzheng Fitness Skills

Twelve skills build a training plan, meal targets and an offline workbench page, with install checks that verify every file.

  • 142 ★ on the repository
  • Last commit
  • MIT
Skill

Extended access

Why this level

  • The agent writes project files holding health and nutrition data.
  • Load and nutrition advice is written by a model and does not replace a doctor.
All reasons and checks

lzheng0411/lzheng-fitness

Install

In your terminal, with SkillFoxx CLI

npx skillfoxx add skills/lzheng-fitness-skills

Detects the agents on your machine, shows the access level and pins the version.

Other ways to install

Access and checks

How we review

Extended accessThe tool runs code or makes network calls and only reads external data.

  • The agent writes project files holding health and nutrition data.
  • Load and nutrition advice is written by a model and does not replace a doctor.

This is third-party code. Review the repository files before installing.

What it does

Lzheng Fitness Skills is a set of 12 MIT-licensed skills that run a personal fitness system through conversation with an agent. The agent collects a profile and a safety screen, writes a plan and 8-12 week strength cycles, reviews sessions and brings a person back on schedule after missed training. Separate skills handle nutrition, learning from saved videos and a knowledge library. A workbench builder produces a responsive page that opens offline. No services or accounts are needed, and personal data stays in a project on the computer. A Python installer copies the skills into the agent directory and records a file list with SHA-256, so differences from the repository can be checked with `--verify`. The repository text and interface are Chinese, with an English README.

Who it is for. People who train on their own and want plan, nutrition and reviews run by an agent without cloud apps. Needs Codex or another skill-capable agent.

Good fit when

  • A training plan with a safety screen and working-weight calibration.
  • After a week of missed sessions, training should resume without a jump.
  • A strength cycle of 8-12 weeks for one lift.
  • Plan and reports must open offline on a phone and a computer.
  • A new computer to which the system is moved with its history.

Not a fit when

  • A doctor or coach is needed: the system does not replace medical advice.
  • The agent does not support skills.
  • Photo recognition of meals is expected inside the page, which has no model.

Example request

Start building my fitness system: ask about goals and health, write the plan and build the offline page.

Limitations

The interface and instructions are mostly Chinese, with an English README. The agent writes plans and reviews, so check loads and nutrition against common sense and do not use them in place of a doctor. One optional component, `dbs-learning`, uses CC BY-NC 4.0 and is excluded from the default `--all` install. The agent does not publish the site to CloudBase on its own. Repository checks run on Linux and Windows. The last commit is from 1 November 2026 and the README version is 3.5.0.

How to disable. Remove the `lzheng-*` skill directories from the agent directory. Training records, the `.lzheng-fitness` folder and created projects live separately, so delete them by hand.

FAQ

What is required to install?

Python 3.10 or newer. No third-party Python packages are needed. Interface checks also need Node.js, Playwright and Chromium.

How do I verify a complete install?

Run `python tools/install.py --platform codex --all --verify`. It only reads files and lists missing, modified and extra ones.

Can I install only some skills?

Yes. Planning, return after a break, strength cycle, review and nutrition install separately, and the installer adds needed dependencies.

How do I upgrade and keep my records?

Ask the agent to upgrade the system and keep records and wallpaper. It follows `docs/UPGRADE.md`, makes a backup and rolls back when a check fails.

What data does the system keep?

Profile, plans, training records and nutrition live in a project on your computer. The public package holds no personal data.

Discussion

No questions or reviews yet.

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README in short

The repository splits professional skills from two service skills that assemble results into one offline page. No cloud services or third-party data ship in the package.

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