Agent skill

Lzheng Training Expert Library

by LZheng0411 in LZheng0411/Lzheng-fitness

为 Lzheng 计划、力量周期、训练复盘和停训接回 Skill 提供六个可移植、来源限定的训练专家模块,包含来源边界、覆盖矩阵、问题路由、知识卡、协作选择和验证状态;用于内部选择最少必要专家并保留分歧条件,不作为名人角色扮演、医疗诊断或独立动态处方入口。

MITAuto-check passed

Install Lzheng Training Expert Library

skills CLI
$ npx skills add LZheng0411/Lzheng-fitness --skill lzheng-training-expert-library -a claude-code

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

GitHub CLI
$ gh skill install LZheng0411/Lzheng-fitness lzheng-training-expert-library --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/LZheng0411/Lzheng-fitness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/lzheng-training-expert-library .claude/skills/lzheng-training-expert-library && 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
lzheng-training-expert-library
GitHub stars
119
Token cost
~320 tokens
SKILL.md length
56 words
Files
140 (incl. scripts, references)
Skills in repo
12
Repo updated
First seen
Licence
MIT

At a glance

为 Lzheng 计划、力量周期、训练复盘和停训接回 Skill 提供六个可移植、来源限定的训练专家模块,包含来源边界、覆盖矩阵、问题路由、知识卡、协作选择和验证状态;用于内部选择最少必要专家并保留分歧条件,不作为名人角色扮演、医疗诊断或独立动态处方入口。

  • Works in 5 steps: 先读 专家选择协议,把问题拆成会改变结论的变量。 → 再读 专家登记表,选择最少必要专家;通常 1 位,只有独立变量或真实冲突才增加。 → 进入 references/experts//,先读 module.json… → …
  • SKILL.md covers 使用顺序, 六个模块, 安全与版权边界 and 验证
  • Calls python

What it does

Lzheng Training Expert Library is an agent skill from LZheng0411/Lzheng-fitness. 为 Lzheng 计划、力量周期、训练复盘和停训接回 Skill 提供六个可移植、来源限定的训练专家模块,包含来源边界、覆盖矩阵、问题路由、知识卡、协作选择和验证状态;用于内部选择最少必要专家并保留分歧条件,不作为名人角色扮演、医疗诊断或独立动态处方入口。

Its SKILL.md is about 320 tokens, which your agent loads only when the skill is triggered. The skill folder holds 144 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/expert-output-protocol.md` and `references/expert-registry.json`).

The repository describes itself as: Lzheng的开源健身 Agent Skill 知识库. The licence is MIT.

Example prompts

  • “/lzheng-training-expert-library”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. 先读 专家选择协议,把问题拆成会改变结论的变量。
  2. 再读 专家登记表,选择最少必要专家;通常 1 位,只有独立变量或真实冲突才增加。
  3. 进入 references/experts//,先读 module.json 和入口文件,再按模块内部路由读取知识卡、框架或边界。
  4. 只把来源限定判断交给计划、周期、复盘或接回 Skill;当前事实、最终处方、写入和安全分流仍归主 Skill。
  5. 实际采用专家时按 输出协议 展示;没有采用时不增加专家区块。

What it can do on your machine

Read from SKILL.md and the folder at commit c9f0b57. 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

    Ships 1 file in scripts/, which the agent can run.

    Shell commands in SKILL.md call:

    • python

    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

Lzheng Training Expert Library loads about 320 tokens when it runs, and up to ~76k if it reads all its reference files. Until then it costs about 40 tokens; SKILL.md has 56 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~320
With references · SKILL.md plus every file in references/, read only if the agent opens them
~76k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from LZheng0411/Lzheng-fitness at commit c9f0b57, republished under its MIT licence (© LZheng0411). 56 words, ~320 tokens.

Download SKILL.mdSave it as .claude/skills/lzheng-training-expert-library/SKILL.md (or your agent's skills folder). This skill also uses 139 other files; get the full folder from GitHub.
name
lzheng-training-expert-library
description
为 Lzheng 计划、力量周期、训练复盘和停训接回 Skill 提供六个可移植、来源限定的训练专家模块,包含来源边界、覆盖矩阵、问题路由、知识卡、协作选择和验证状态;用于内部选择最少必要专家并保留分歧条件,不作为名人角色扮演、医疗诊断或独立动态处方入口。

Lzheng 训练专家知识库

这是 Lzheng 健身套件的内部知识层。它让主 Skill 能读取完整蒸馏模块,而不是只依赖一页通用摘要。

使用顺序

  1. 先读 专家选择协议,把问题拆成会改变结论的变量。
  2. 再读 专家登记表,选择最少必要专家;通常 1 位,只有独立变量或真实冲突才增加。
  3. 进入 references/experts/<expert-id>/,先读 module.json 和入口文件,再按模块内部路由读取知识卡、框架或边界。
  4. 只把来源限定判断交给计划、周期、复盘或接回 Skill;当前事实、最终处方、写入和安全分流仍归主 Skill。
  5. 实际采用专家时按 输出协议 展示;没有采用时不增加专家区块。

六个模块

  • Alan Aragon:营养、宏量、补给、依从性和维持。
  • Brad Schoenfeld:肌肥大机制、训练变量和增长测量。
  • Brukner 与 Khan:仅在已获专业允许活动后处理保守康复进阶、返场验证和二级预防。
  • Dan John:Point A、训练缺口、回到基础和低疲劳重复。
  • Eric Helms:依从性、训练结构、渐进、减载和峰值。
  • Greg Nuckols:力量瓶颈、专项性、变量实验、周期化和技术假设。

每个模块都包含版本边界和验证状态。content_ready_entry_acceptance_pending 表示内容、结构和路由已可审计,但真实主入口验收仍待完成;不得改写成“已全面验证”。

安全与版权边界

  • 不复制或输出整本书、原始 PDF/EPUB、文章快照或大段原文。
  • 不模拟专家本人,不声称代表其最新观点。
  • 不用旧版书替代当前医疗指南、专业评估或公共安全标准。
  • 疼痛、急性创伤、胸部不适、晕厥、异常气短、进行性神经症状、术后或疾病先走安全分流。
  • 专家模块无权覆盖用户当次确认、当前计划、执行基准或动态记录。

验证

修改模块、登记表或选择协议后运行:

powershell
python scripts/validate_expert_library.py

只有结构、隐私、链接、路由样例和状态一致性全部通过,才能声明公开专家库可安装、可访问。

© LZheng0411, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 139 other files (scripts, references) in skills/lzheng-training-expert-library of LZheng0411/Lzheng-fitness.

  • SKILL.md
  • agents/openai.yaml
  • references/expert-output-protocol.md
  • references/expert-registry.json
  • references/expert-selection-contract.md
  • references/experts/alan-aragon-flexible-dieting/00-专家总入口.md
  • references/experts/alan-aragon-flexible-dieting/00-立项与来源核验.md
  • references/experts/alan-aragon-flexible-dieting/01-全书覆盖矩阵.md
  • references/experts/alan-aragon-flexible-dieting/02-营养决策框架.md
  • references/experts/alan-aragon-flexible-dieting/03-边界与冲突处理.md
  • references/experts/alan-aragon-flexible-dieting/04-问题路由表.md
  • references/experts/alan-aragon-flexible-dieting/05-主系统接入参考.md
  • references/experts/alan-aragon-flexible-dieting/06-测试与遗漏审计.md
  • references/experts/alan-aragon-flexible-dieting/PUBLIC-SOURCE-BOUNDARY.md
  • references/experts/alan-aragon-flexible-dieting/module.json
  • references/experts/alan-aragon-flexible-dieting/知识卡/01-灵活控制不是放任.md
  • … and 124 more

Open the folder on GitHubat commit c9f0b57

Compare with similar skills

Lzheng Training Expert Library 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.

Lzheng Training Expert Library compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Lzheng Training Expert Library this skillLZheng0411/Lzheng-fitness119—~320Automated safety check: PassMIT
Ito Trainingaffaan-m/ECC277k1 repos~1.5kAutomated safety check: PassMIT
Ray Train Distributed TrainingOrchestra-Research/AI-Research-SKILLs13k2 repos~2.7kAutomated safety check: PassMIT
Fal Trainnexu-io/open-design100k—~293Automated safety check: PassApache-2.0
Train Poseruvnet/RuView97k—~504Automated safety check: PassMIT
Neural Trainingruvnet/ruflo74k1 repos~432Automated safety check: PassMIT

Similar skills

  • Ito Training

    affaan-m/ECC

    Inspect the availability of ML training on a completed Itô compute booking and, when the canonical backend becomes available, hand off an explicitly confirmed training manifest.

    277k GitHub starsUsed in 1 repo~1.5k tokens
    AI & LLM EngineeringAuto-check passed
  • Ray Train Distributed Training

    Orchestra-Research/AI-Research-SKILLs

    Scales PyTorch, TensorFlow and Hugging Face training from a single GPU to multi-node clusters with Ray Train, including Ray Tune sweeps and checkpoint recovery.

    13k GitHub starsUsed in 2 repos~2.7k tokens
    AI & LLM EngineeringAuto-check passed
  • Fal Train

    nexu-io/open-design

    Train custom AI models (LoRA) on fal.ai for personalized image generation tailored to a brand, character, or style.

    100k GitHub stars~293 tokensUpdated yesterday
    AI & LLM EngineeringAuto-check passed
  • Train Pose

    ruvnet/RuView

    Train/evaluate WiFi pose models honestly — camera-supervised (MediaPipe + CSI) and camera-free (WiFlow), always checked against the mean-pose baseline before any PCK is quoted.

    97k GitHub stars~504 tokensUpdated today
    DevelopmentAuto-check passed
  • Neural Training

    ruvnet/ruflo

    Neural pattern training with SONA (Self-Optimizing Neural Architecture), MoE (Mixture of Experts), and EWC++ for knowledge consolidation.

    74k GitHub starsUsed in 1 repo~432 tokens
    Auto-check passed
  • Neural Train

    ruvnet/ruflo

    Train SONA + MicroLoRA neural patterns from successful task completions; runs the DISTILL + CONSOLIDATE phases of the 4-step pipeline

    74k GitHub stars~1.2k tokensUpdated yesterday
    Auto-check: notes

More from LZheng0411/Lzheng-fitness

All 12 skills in this repo
  • Lzheng Fitness Plan

    LZheng0411/Lzheng-fitness

    基于用户当前状态、Skill 内置健身知识和最新官方指南,完成问诊、安全筛查、P0—L3 分层、固定器械与自由重量动作选择、完整训练计划、短期降级方案、时间快照及移动端友好 HTML 交付。用于用户要求制定、重做、解释或可视化增肌、减脂、体态重组、健康、基础力量或综合健身计划,以及询问一周练几次、如何分化、动作怎样选时;不用于单次训练复盘、医疗康复或未经用户确认的单项力量周期调用。

    119 GitHub stars~1.5k tokensUpdated 12 days ago
    Auto-check passed
  • Lzheng Fitness Workbench Builder

    LZheng0411/Lzheng-fitness

    将训练计划 JSON、执行基准、训练复盘、可选 Notion 导出和内置界面素材组装为可离线打开的个人健身工作台,并完成数据刷新、壁纸替换、内置文档阅读、可选 Obsidian 编辑、响应式页面、发布副本与自动校验。用于用户要求从零构建、迁移、重建、替换背景、打包、同步、修复或发布健身工作台,或希望在新电脑上复刻同款个人训练系统时;不用于制定个性化训练处方、单次训练复盘或医疗建议。

    119 GitHub stars~2.2k tokensUpdated 12 days ago
    Auto-check passed
  • Lzheng Training System

    LZheng0411/Lzheng-fitness

    初始化、升级、诊断、校验和迁移 Lzheng 本地训练系统,并把增肌、减脂、力量与综合健身计划、训练复盘和健身工作台串成单一主源闭环。用于用户刚下载/刚安装、说开始建立健身系统、想增肌/减脂/提升力量、新电脑搭建、系统升级或工作台异常排查;首次使用时由 AI 自然语言接管引导,不要求用户先找 README、命令或 Skill 名称。

    119 GitHub stars~1.2k tokensUpdated 12 days ago
    Auto-check passed
  • Lzheng Nutrition System

    LZheng0411/Lzheng-fitness

    建立、校验和复盘与当前训练计划联动的通用营养系统,包括建档、重训练/普通训练/休息日目标、餐食估算候选、用户确认入账和趋势调整;不用于疾病营养治疗、过敏原诊断或把照片估算包装成精确事实。

    119 GitHub stars~412 tokensUpdated 12 days ago
    Auto-check passed
  • Lzheng Strength Cycle Planner

    LZheng0411/Lzheng-fitness

    为深蹲、卧推、硬拉、负重引体、推举等力量主项制定、解释、调整或复盘完整的 8—12 周周期,并交付含主项渐进曲线的可本地打开训练计划 HTML。用于用户要求规划组数、次数、重量、RPE/RIR、顶组、回退组、减量、测试、渐进规则或未完成分支,或要求把训练计划做成网页、总览页、可视化计划时。

    119 GitHub stars~1.3k tokensUpdated 12 days ago
    Auto-check passed
  • Lzheng Video Lessons

    LZheng0411/Lzheng-fitness

    将抖音或本地健身教学视频核对为有起止点的分段课程,用直接教读者怎么做的详细解释生成播放器,接入现有知识库并按用户授权完成发布和线上验证;支持复用更新,不把视频建议自动写成个人训练处方。

    119 GitHub stars~484 tokensUpdated 12 days ago
    Auto-check passed

Questions about Lzheng Training Expert Library

What does Lzheng Training Expert Library do?

为 Lzheng 计划、力量周期、训练复盘和停训接回 Skill 提供六个可移植、来源限定的训练专家模块,包含来源边界、覆盖矩阵、问题路由、知识卡、协作选择和验证状态;用于内部选择最少必要专家并保留分歧条件,不作为名人角色扮演、医疗诊断或独立动态处方入口。. Lzheng Training Expert Library is an agent skill from LZheng0411/Lzheng-fitness.

How do I install Lzheng Training Expert Library in Claude Code?

Run `npx skills add LZheng0411/Lzheng-fitness --skill lzheng-training-expert-library -a claude-code`. Or copy the skill folder (skills/lzheng-training-expert-library in LZheng0411/Lzheng-fitness) into .claude/skills/lzheng-training-expert-library in your project. Claude Code loads it when a task matches its description.

How do I install Lzheng Training Expert Library in Codex?

Run `npx skills add LZheng0411/Lzheng-fitness --skill lzheng-training-expert-library -a codex`. Or copy the skill folder (skills/lzheng-training-expert-library in LZheng0411/Lzheng-fitness) into .agents/skills/lzheng-training-expert-library in your project. Codex loads it when a task matches its description.

Can I use Lzheng Training Expert Library 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 LZheng0411/Lzheng-fitness --skill lzheng-training-expert-library -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lzheng-training-expert-library, .gemini/skills/lzheng-training-expert-library, .github/skills/lzheng-training-expert-library and .opencode/skills/lzheng-training-expert-library in your project.

What does Lzheng Training Expert Library need to run?

Going by SKILL.md and its folder, Lzheng Training Expert Library needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Lzheng Training Expert Library 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 Lzheng Training Expert Library 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Lzheng Training Expert Library use?

Lzheng Training Expert Library is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Lzheng Training Expert Library use?

About 320 tokens (SKILL.md is roughly 1.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 76k tokens, read only when the agent opens those files.

What are the alternatives to Lzheng Training Expert Library?

Skills that share tags, products or a category with Lzheng Training Expert Library: Ito Training (affaan-m/ECC, 277k stars), Ray Train Distributed Training (Orchestra-Research/AI-Research-SKILLs, 13k stars), Fal Train (nexu-io/open-design, 100k stars) and Train Pose (ruvnet/RuView, 97k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lzheng Training Expert Library?

LZheng0411 (a GitHub user) maintains it in LZheng0411/Lzheng-fitness, which has 119 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 29, 2026.

Source: LZheng0411/Lzheng-fitness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.