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.
处理停训达到7天、连续漏练3次、生病或伤病评估后恢复、训练条件或能力明显变化、4周内反复中断,以及用户主动询问“如何重新开始训练”的情况。基于原计划、时间化状态快照和 Skill 内置训练接回知识重新建档,输出正常版、降级版、最低版任务、48小时接回动作与《Lzheng 个人训练接回卡》。漏练1—2次或单日状态差仍由 lzheng-fitness-plan 的短期降级规则处理;本 Skill…
$ npx skills add LZheng0411/Lzheng-fitness --skill lzheng-training-return -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LZheng0411/Lzheng-fitness lzheng-training-return --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-return .claude/skills/lzheng-training-return && 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-return" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-training-return into .claude/skills/lzheng-training-return/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-training-return", 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-returnType 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-return -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LZheng0411/Lzheng-fitness lzheng-training-return --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-return .agents/skills/lzheng-training-return && 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-return" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-training-return into .agents/skills/lzheng-training-return/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-training-return", 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-return -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LZheng0411/Lzheng-fitness lzheng-training-return --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-return .cursor/skills/lzheng-training-return && 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-return" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-training-return into .cursor/skills/lzheng-training-return/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-training-return", 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-return--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-return -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LZheng0411/Lzheng-fitness lzheng-training-return --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-return .gemini/skills/lzheng-training-return && 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-return" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-training-return into .gemini/skills/lzheng-training-return/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-training-return", 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-returnInstalls 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-return -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-return .github/skills/lzheng-training-return && 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-return" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-training-return into .github/skills/lzheng-training-return/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-training-return", 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-return -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-return --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-return .opencode/skills/lzheng-training-return && 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-return" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-training-return into .opencode/skills/lzheng-training-return/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-training-return", 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-return处理停训达到7天、连续漏练3次、生病或伤病评估后恢复、训练条件或能力明显变化、4周内反复中断,以及用户主动询问“如何重新开始训练”的情况。基于原计划、时间化状态快照和 Skill 内置训练接回知识重新建档,输出正常版、降级版、最低版任务、48小时接回动作与《Lzheng 个人训练接回卡》。漏练1—2次或单日状态差仍由 lzheng-fitness-plan 的短期降级规则处理;本 Skill…
Lzheng Training Return is an agent skill from LZheng0411/Lzheng-fitness. 处理停训达到7天、连续漏练3次、生病或伤病评估后恢复、训练条件或能力明显变化、4周内反复中断,以及用户主动询问“如何重新开始训练”的情况。基于原计划、时间化状态快照和 Skill 内置训练接回知识重新建档,输出正常版、降级版、最低版任务、48小时接回动作与《Lzheng 个人训练接回卡》。漏练1—2次或单日状态差仍由 lzheng-fitness-plan 的短期降级规则处理;本 Skill 不作医疗诊断,也不把停训前重量直接照搬回来。
Its SKILL.md is about 720 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `agents/openai.yaml`, `references/evidence-base.md` and `references/knowledge-routing.md`).
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 step headings 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.
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.
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 Return loads about 721 tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 61 tokens; SKILL.md has 154 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); files beside SKILL.md are not scanned.
The full file from LZheng0411/Lzheng-fitness at commit c9f0b57, republished under its MIT licence (© LZheng0411). 154 words, ~721 tokens.
.claude/skills/lzheng-training-return/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.把“中断了,不知道怎么回来”变成一条安全、低阻力、能在 48 小时内启动的接回路径。先判断是否适合恢复,再依据当前事实调整原计划;不把恢复期做成惩罚性补课,也不重写与中断无关的长期目标。
满足任一条件时使用本 Skill:
以下情况不在本 Skill 内直接安排普通训练:
漏练 1 次不补课,按原顺序继续。漏练 2 次由主 Skill 生成 30 分钟或状态差版,完成后接回原计划。
开始诊断前完整读取:
references/knowledge-routing.mdreferences/return-workflow.mdreferences/return-card-spec.mdreferences/evidence-base.md../lzheng-training-expert-library/references/expert-selection-contract.md(仅在独立专家变量会改变接回路径时)再按知识路由读取与当前情况相关的内置资料;容易变化的恢复安全标准应联网核验官方来源。不得仅凭模型记忆作出处方。
目标含糊、反复中断或“回到基础”是关键变量时可读取 Dan John;只有用户已经获得合格专业人员评估并允许活动,且问题是功能进阶、返场验证或二级预防时才读取 Brukner 与 Khan。未评估疼痛、急性创伤、术后未获许可、疾病或红旗症状先走安全分流,不进入专家讨论。专家不能批准恢复训练,也不能覆盖医疗限制、当前事实和本 Skill 的最终接回决定。
优先收集:
找不到原计划时明确标记 unknown,不得虚构原重量、频率或动作。必要时输出保守的重新评估周,而不是假装“接回原计划”。
至少确认:
把信息分为 confirmed、inferred、unknown,生成新的不可覆盖时间快照。不得覆盖中断前快照。
输出以下之一:
normal_return:无明显安全阻断,条件基本未变,可进入保守接回;degraded_return:无明显危险信号,但恢复或条件不足,需要降低训练压力;minimum_return:心理或时间阻力很大,只安排能维持连续性的最低任务;hold_and_refer:当前不宜生成普通恢复计划,建议先获得合适的专业评估。遵循 references/return-workflow.md:
如果中断导致动作阶段、器械或能力明显变化,调用 lzheng-fitness-plan 重新评估相关维度;只有用户明确要求或确认单项周期时,才调用 lzheng-strength-cycle-planner。
生成并保存:
用户指定输出目录时优先使用;否则先读取已初始化系统的 系统/lzheng-system.json,把状态快照和接回卡写入 output_locations.returns;只有尚未建立系统配置时,才写入 LZHENG_FITNESS_HOME/returns/ 或当前工作目录的 lzheng-fitness-output/returns/。客户模式只使用代号。真实姓名、联系方式、病史原文不写入公共知识库或示例。
交付必须让用户无需重新阅读长篇分析就能行动,至少包含:
最终以 references/return-card-spec.md 的结构生成《Lzheng 个人训练接回卡》。如果用户同时需要完整 HTML,可把接回卡数据交给 lzheng-fitness-plan 的 HTML 渲染结构,但不得伪装成新的长期完整计划。
© 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 5 other files (references) in skills/lzheng-training-return of LZheng0411/Lzheng-fitness.
Open the folder on GitHubat commit c9f0b57
Lzheng Training Return 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 Return this skillLZheng0411/Lzheng-fitness | 119 | — | ~721 | 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
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。
处理停训达到7天、连续漏练3次、生病或伤病评估后恢复、训练条件或能力明显变化、4周内反复中断,以及用户主动询问“如何重新开始训练”的情况。基于原计划、时间化状态快照和 Skill 内置训练接回知识重新建档,输出正常版、降级版、最低版任务、48小时接回动作与《Lzheng 个人训练接回卡》。漏练1—2次或单日状态差仍由 lzheng-fitness-plan 的短期降级规则处理;本 Skill…. Lzheng Training Return is an agent skill from LZheng0411/Lzheng-fitness.
Run `npx skills add LZheng0411/Lzheng-fitness --skill lzheng-training-return -a claude-code`. Or copy the skill folder (skills/lzheng-training-return in LZheng0411/Lzheng-fitness) into .claude/skills/lzheng-training-return in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LZheng0411/Lzheng-fitness --skill lzheng-training-return -a codex`. Or copy the skill folder (skills/lzheng-training-return in LZheng0411/Lzheng-fitness) into .agents/skills/lzheng-training-return 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-return -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-return, .gemini/skills/lzheng-training-return, .github/skills/lzheng-training-return and .opencode/skills/lzheng-training-return in your project.
SKILL.md names no scripts, command-line tools or credentials: Lzheng Training Return is instructions for the agent only.
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. Review the folder before installing.
Lzheng Training Return is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 721 tokens (SKILL.md is roughly 2.9k 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 2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Lzheng Training Return: 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.