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.
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。
$ npx skills add LZheng0411/Lzheng-fitness --skill lzheng-training-expert-library -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LZheng0411/Lzheng-fitness lzheng-training-expert-library --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "lzheng-training-expert-library" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-training-expert-library into .claude/skills/lzheng-training-expert-library/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-training-expert-library", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-training-expert-libraryType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LZheng0411/Lzheng-fitness --skill lzheng-training-expert-library -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LZheng0411/Lzheng-fitness lzheng-training-expert-library --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LZheng0411/Lzheng-fitness.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/lzheng-training-expert-library .agents/skills/lzheng-training-expert-library && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lzheng-training-expert-library" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-training-expert-library into .agents/skills/lzheng-training-expert-library/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-training-expert-library", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LZheng0411/Lzheng-fitness --skill lzheng-training-expert-library -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LZheng0411/Lzheng-fitness lzheng-training-expert-library --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LZheng0411/Lzheng-fitness.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/lzheng-training-expert-library .cursor/skills/lzheng-training-expert-library && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "lzheng-training-expert-library" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-training-expert-library into .cursor/skills/lzheng-training-expert-library/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-training-expert-library", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LZheng0411/Lzheng-fitness.git --path skills/lzheng-training-expert-library--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LZheng0411/Lzheng-fitness --skill lzheng-training-expert-library -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LZheng0411/Lzheng-fitness lzheng-training-expert-library --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LZheng0411/Lzheng-fitness.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/lzheng-training-expert-library .gemini/skills/lzheng-training-expert-library && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "lzheng-training-expert-library" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-training-expert-library into .gemini/skills/lzheng-training-expert-library/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-training-expert-library", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LZheng0411/Lzheng-fitness lzheng-training-expert-libraryInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LZheng0411/Lzheng-fitness --skill lzheng-training-expert-library -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LZheng0411/Lzheng-fitness.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/lzheng-training-expert-library .github/skills/lzheng-training-expert-library && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "lzheng-training-expert-library" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-training-expert-library into .github/skills/lzheng-training-expert-library/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-training-expert-library", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LZheng0411/Lzheng-fitness --skill lzheng-training-expert-library -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LZheng0411/Lzheng-fitness lzheng-training-expert-library --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LZheng0411/Lzheng-fitness.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/lzheng-training-expert-library .opencode/skills/lzheng-training-expert-library && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "lzheng-training-expert-library" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-training-expert-library into .opencode/skills/lzheng-training-expert-library/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-training-expert-library", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
lzheng-training-expert-library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. 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.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit c9f0b57. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from LZheng0411/Lzheng-fitness at commit c9f0b57, republished under its MIT licence (© LZheng0411). 56 words, ~320 tokens.
.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.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。
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。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”。
修改模块、登记表或选择协议后运行:
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
SKILL.md and 139 other files (scripts, references) in skills/lzheng-training-expert-library of LZheng0411/Lzheng-fitness.
Open the folder on GitHubat commit c9f0b57
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Lzheng Training Expert Library this skillLZheng0411/Lzheng-fitness | 119 | — | ~320 | Automated safety check: Pass | MIT | |
| Ito Trainingaffaan-m/ECC | 277k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Ray Train Distributed TrainingOrchestra-Research/AI-Research-SKILLs | 13k | 2 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Fal Trainnexu-io/open-design | 100k | — | ~293 | Automated safety check: Pass | Apache-2.0 | |
| Train Poseruvnet/RuView | 97k | — | ~504 | Automated safety check: Pass | MIT | |
| Neural Trainingruvnet/ruflo | 74k | 1 repos | ~432 | Automated safety check: Pass | MIT |
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.
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.
nexu-io/open-design
Train custom AI models (LoRA) on fal.ai for personalized image generation tailored to a brand, character, or style.
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.
ruvnet/ruflo
Neural pattern training with SONA (Self-Optimizing Neural Architecture), MoE (Mixture of Experts), and EWC++ for knowledge consolidation.
ruvnet/ruflo
Train SONA + MicroLoRA neural patterns from successful task completions; runs the DISTILL + CONSOLIDATE phases of the 4-step pipeline
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。
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。
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。
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。
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。
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。
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.