Diagram Design
cathrynlavery/diagram-design
Creates branded diagrams, from architecture, flowchart and sequence to charts and maps, as self-contained HTML with inline SVG, with import from draw.io, Mermaid and Excalidraw.
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。
Install Lzheng Training System
$ npx skills add LZheng0411/Lzheng-fitness --skill lzheng-training-system -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LZheng0411/Lzheng-fitness lzheng-training-system --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-system .claude/skills/lzheng-training-system && 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-system" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-training-system into .claude/skills/lzheng-training-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-training-system", 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-systemType 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-system -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LZheng0411/Lzheng-fitness lzheng-training-system --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-system .agents/skills/lzheng-training-system && 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-system" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-training-system into .agents/skills/lzheng-training-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-training-system", 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-system -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LZheng0411/Lzheng-fitness lzheng-training-system --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-system .cursor/skills/lzheng-training-system && 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-system" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-training-system into .cursor/skills/lzheng-training-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-training-system", 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-system--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-system -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LZheng0411/Lzheng-fitness lzheng-training-system --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-system .gemini/skills/lzheng-training-system && 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-system" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-training-system into .gemini/skills/lzheng-training-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-training-system", 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-systemInstalls 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-system -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-system .github/skills/lzheng-training-system && 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-system" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-training-system into .github/skills/lzheng-training-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-training-system", 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-system -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-system --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-system .opencode/skills/lzheng-training-system && 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-system" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-training-system into .opencode/skills/lzheng-training-system/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-training-system", 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.
Facts
- Skill name
lzheng-training-system- GitHub stars
- 119
- Token cost
- ~1.2k tokens
- SKILL.md length
- 188 words
- Files
- 11 (incl. scripts, references, assets)
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- MIT
At a glance
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。
- Works in 5 steps: 询问目标、近期训练、时间、器械、恢复、限制和可用记录； → 没有可靠动作重量时安排负荷校准，不让用户自行猜重量； → 初始化新的空目录、工作台和事实文件； → …
- Tasks that involve Technical documentation
- SKILL.md covers 首次使用者引导, 先选动作, 日常路由 and 命令, plus 2 more sections
- Runs Python scripts from its folder; calls python
What it does
Lzheng Training System is an agent skill from 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。
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including scripts, reference files and assets (for example `agents/openai.yaml`, `assets/knowledge-pack-manifest.schema.json` and `references/handoff-schema.md`).
It sits in Development, covering Technical documentation. The repository describes itself as: Lzheng的开源健身 Agent Skill 知识库. The licence is MIT.
When your agent uses it
- Tasks that involve Technical documentation
Example prompts
- “/lzheng-training-system”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- 询问目标、近期训练、时间、器械、恢复、限制和可用记录；
- 没有可靠动作重量时安排负荷校准，不让用户自行猜重量；
- 初始化新的空目录、工作台和事实文件；
- 生成第一版正式计划，将它接入当前周期、执行基准、复盘索引和工作台；
- 告诉用户以后只需说“今天练了什么”和主观体感，AI 负责下一次明确处方与刷新。
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 5 files in scripts/ (Python), 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 System loads about 1.2k tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 48 tokens; SKILL.md has 188 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.
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). 188 words, ~1,188 tokens.
Download SKILL.mdSave it as
.claude/skills/lzheng-training-system/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.- name
- lzheng-training-system
- description
- 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。
Lzheng 本地训练系统
把本 Skill 当作套件总控层：它只做安装、配置、路由、升级保护和验收；训练处方由四个训练处方 Skill 生成，营养系统独立维护 nutrition_contract，专家库只作为共享知识层，工作台只负责展示。
首次使用者引导
当用户刚完成安装、刚下载本套件，或第一次说“开始”“想增肌/减脂/提升力量”“帮我建立健身系统”时，不要要求用户先阅读 README、输入命令或记住 Skill 名称。直接回复：
我来帮你建立个人健身系统。先确定你的主要目标：增肌、减脂、力量，还是综合改善？
随后依次完成：
- 询问目标、近期训练、时间、器械、恢复、限制和可用记录；
- 没有可靠动作重量时安排负荷校准，不让用户自行猜重量；
- 初始化新的空目录、工作台和事实文件；
- 生成第一版正式计划，将它接入当前周期、执行基准、复盘索引和工作台；
- 告诉用户以后只需说“今天练了什么”和主观体感，AI 负责下一次明确处方与刷新。
若当前聊天尚未加载新 Skill，提示用户只需新开对话后说“开始建立我的健身系统”；不得让用户阅读 README 寻找下一步。
先选动作
| 用户意图 | 动作 |
|---|---|
| 新电脑、空文件夹、从零搭建 | bootstrap |
| 检查路径、数据主源、Skill、工作台或链接 | doctor |
| 日常任务读取当前状态，不加载整份工作台 HTML | inspect |
| 升级系统配置并检查界面状态 | upgrade（仅配置；需要界面升级时退出码 2） |
| 修复侧栏或升级已有工作台界面，保留事实和壁纸 | upgrade-workbench-ui |
| 只装/检查某个专业 Skill | install-skill |
| 导入用户自己的知识、书摘或资料包 | import-private-pack |
| 刷新正式工作台并生成可审计回执，可选准备本地发布副本 | refresh-workbench |
| 消费正式计划、复盘或接回后的交接并刷新工作台 | process-handoffs |
| 升级后或发布前做完整回归 | validate |
| 日常训练任务 | 按下方路由转交专业 Skill |
运行前读取 系统契约。涉及交接时读取 交接契约。涉及完整计划、力量周期或工作台 HTML 时读取 单文件 HTML 模板总契约，只允许使用其中登记的三套固定模板。
日常计划修改、训练复盘和状态确认先运行 inspect。--root 可指向含 系统/lzheng-system.json 的完整系统根目录，也可直接指向含 健身工作台.html 的训练项目根目录。它只输出紧凑状态和权威主源路径；随后按任务读取对应的一个计划、基准或复盘文件。除非正在开发视觉模板或检查器已经报告模板结构损坏，不得读取整份 健身工作台.html、工作台模板、历史计划目录或全部专家模块。
日常路由
- 完整建档、长期训练计划、短版降级：
lzheng-fitness-plan。 - 一个动作的 8—12 周力量周期：
lzheng-strength-cycle-planner；结果必须交回完整计划 Skill 合并后才可成为当前计划。 - 单练或周训练复盘、下一次处方：
lzheng-strength-training-review；正式复盘必须更新索引并触发工作台刷新。 - 停训 7 天、连续漏练 3 次、条件明显变化：
lzheng-training-return；改变执行状态时先更新执行基准或当前计划，再刷新工作台。 - 饮食建档、日型目标、餐食确认与两周趋势复盘：
lzheng-nutrition-system；它不按单次训练消耗补吃，也不自动确认照片估算。 - 工作台构建、数据刷新、迁移、发布：
lzheng-fitness-workbench-builder；它只读聚合，不给出处方。
四个训练处方 Skill 与营养 Skill 在需要来源限定判断时内部读取 lzheng-training-expert-library。专家库不是独立处方入口，不拥有当前事实、计划版本、营养协议或工作台写入权。
专业 Skill 执行前按以下优先级解析根目录：本次用户明确路径 → 系统/lzheng-system.json → 环境变量 LZHENG_FITNESS_HOME → 仅用于首次引导的保守默认目录。已存在系统配置时，计划、周期、复盘、状态和接回卡必须优先写入 output_locations 指定的知识库分区，不得继续散落到当前工作目录。未解析到系统时停止写入并说明缺失项，不把示例数据当作训练事实。
命令
python scripts/lzheng_training_system.py bootstrap --target "<空目录>"
python scripts/lzheng_training_system.py doctor --root "<系统根目录>"
python scripts/lzheng_training_system.py inspect --root "<系统根目录>"
python scripts/lzheng_training_system.py upgrade --root "<系统根目录>"
python scripts/lzheng_training_system.py upgrade-workbench-ui --root "<系统根目录>" --check-only
python scripts/lzheng_training_system.py upgrade-workbench-ui --root "<系统根目录>" --apply
python scripts/lzheng_training_system.py install-skill --root "<系统根目录>" --name lzheng-fitness-plan
python scripts/lzheng_training_system.py import-private-pack --root "<系统根目录>" --source "<用户明确指定的目录>"
python scripts/lzheng_training_system.py refresh-workbench --root "<系统根目录>" [--notion "<notion-data.json>" --notion-mode incremental|full]
python scripts/lzheng_training_system.py process-handoffs --root "<系统根目录>" [--notion "<notion-data.json>" --notion-mode incremental|full]
python scripts/lzheng_training_system.py validate --root "<系统根目录>"bootstrap 仅接受空目录；upgrade 只更新托管配置与模板清单，发现用户改过的托管文件时保留原件并报告冲突；私人知识、计划、复盘、状态档案和 Notion 导出永不覆盖。所有命令均使用 UTF-8，兼容中文、空格和非系统盘路径。
refresh-workbench 是日常单命令闸门：先预检数据，再 apply，随后用正式 checker 验证；可选增加 --deploy "<本地发布目录>" --release-mode public-anonymized。若选择 private-portable，必须再传 --confirm-private-portable，明确承认副本含完整个人训练数据且只能进入有鉴权的私有环境。命令生成 JSON 回执，分别记录 formal_refreshed、release_prepared、deployed、online_verified；它不执行上传或线上访问，所以后两项不能变成 true。
整份主项实际历史的权威替换属于高风险例外：只允许在显式提供 --notion "<完整快照>" --notion-mode full --replace-main-lift-history --confirm-replace-main-lift-history 时执行；普通同步和 process-handoffs 不得携带该替换权限。
process-handoffs 复用同一刷新闸门。只有回执中的正式 checker 为 PASS，交接才标记 formal_refreshed；旧版 refreshed 仍会被识别为已处理并跳过。交接成功不自动制作发布副本，更不代表网站已更新。
完成闸门
只有以下全部通过才可说本地系统可用：
doctor显示配置、四个训练处方 Skill、营养 Skill、专家库、工作台构建器、主源目录和工作台均可用；validate通过每个 Skill 的快速校验、工作台数据/HTML 检查和隐私扫描；- 在新的隔离空目录
bootstrap成功，并显示“待建档”而不是假重量； - 整套系统移动到不同盘符或改名后，旧绝对路径自动迁移，
doctor与upgrade继续通过； - 每次正式复盘和接回均生成
LZHENG_HANDOFF，经process-handoffs获得带 checker PASS 和回执哈希的formal_refreshed，或明确报告失败。
一句话升级与视频学习
用户要求升级整套系统时，在已核对的官方仓库读取 docs/UPGRADE.md，使用 tools/upgrade.py 完成界面检查、备份、保留记录与知识内容、更新安装 Skill。用户自定义界面由 Agent 按差异修复，不静默覆盖。安装更新不等于线上发布。
用户要学习收藏或指定视频时，调用 lzheng-video-learning；不同主题均可，只有健身内容按需回到本系统。知识上工作台用 lzheng-knowledge-library，默认空知识库，不导入作者的私人内容。
© 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 10 other files (scripts, references, assets) in skills/lzheng-training-system of LZheng0411/Lzheng-fitness.
- SKILL.md
- agents/openai.yaml
- assets/knowledge-pack-manifest.schema.json
- references/handoff-schema.md
- references/html-template-contract.md
- references/system-contract.md
- scripts/Process-LzhengHandoffs.py
- scripts/Test-LzhengTrainingSystemInspectReadOnly.py
- scripts/Test-LzhengTrainingSystemPortability.py
- scripts/lzheng_training_system.py
- scripts/validate_ui_contract.py
Open the folder on GitHubat commit c9f0b57
Compare with similar skills
Lzheng Training System 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 System this skillLZheng0411/Lzheng-fitness | 119 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Diagram Designcathrynlavery/diagram-design | 49k | 1 repos | ~7.6k | Automated safety check: Pass | MIT | |
| Simple Englishmoeru-ai/airi | 50k | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Doc SyncJetBrains/ideavim | 10k | 2 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Mailspring App ScreenshotsFoundry376/Mailspring | 18k | — | ~1.5k | Automated safety check: Pass | GPL-3.0 | |
| Draw.io Diagram StudioAgents365-ai/drawio-skill | 10k | — | ~2.4k | Automated safety check: Notes | MIT |
Similar skills
Simple English
moeru-ai/airi
Write or rewrite technical text with the rules of ASD-STE100 Simplified Technical English so it is clear, unambiguous, and free of AI slop.
- Official
Doc Sync
JetBrains/ideavim
Keeps IdeaVim documentation in sync with code changes. An agent skill from JetBrains/ideavim.
Mailspring App Screenshots
Foundry376/Mailspring
Captures screenshots of the running Mailspring dev app for docs, PRs or visual checks by launching it with a debugging port, driving the UI and clipping to an element.
Draw.io Diagram Studio
Agents365-ai/drawio-skill
Creates and edits editable draw.io diagrams from descriptions, code, infrastructure files, SQL and API schemas, with sync, review, test and export tools.
Dark Architecture Diagram Builder
Cocoon-AI/architecture-diagram-generator
Creates dark-themed system, cloud, security and network architecture diagrams as self-contained HTML files with inline SVG and CSS.
More from LZheng0411/Lzheng-fitness
All 12 skills in this repoLzheng 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。
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。
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。
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。
Lzheng Training Expert Library
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。
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。
Related
Categories
Questions about Lzheng Training System
What does Lzheng Training System do?
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。. Lzheng Training System is an agent skill from LZheng0411/Lzheng-fitness.
When should I use Lzheng Training System?
Lzheng Training System fits situations like: tasks that involve Technical documentation.
How do I install Lzheng Training System in Claude Code?
Run `npx skills add LZheng0411/Lzheng-fitness --skill lzheng-training-system -a claude-code`. Or copy the skill folder (skills/lzheng-training-system in LZheng0411/Lzheng-fitness) into .claude/skills/lzheng-training-system in your project. Claude Code loads it when a task matches its description.
How do I install Lzheng Training System in Codex?
Run `npx skills add LZheng0411/Lzheng-fitness --skill lzheng-training-system -a codex`. Or copy the skill folder (skills/lzheng-training-system in LZheng0411/Lzheng-fitness) into .agents/skills/lzheng-training-system in your project. Codex loads it when a task matches its description.
Can I use Lzheng Training System 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-system -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-system, .gemini/skills/lzheng-training-system, .github/skills/lzheng-training-system and .opencode/skills/lzheng-training-system in your project.
What does Lzheng Training System need to run?
Going by SKILL.md and its folder, Lzheng Training System needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Lzheng Training System 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 System 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 System use?
Lzheng Training System 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 System use?
About 1.2k tokens (SKILL.md is roughly 4.8k 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 2.3k tokens, read only when the agent opens those files.
What are the alternatives to Lzheng Training System?
Skills that share tags, products or a category with Lzheng Training System: Diagram Design (cathrynlavery/diagram-design, 49k stars), Simple English (moeru-ai/airi, 50k stars), Doc Sync (JetBrains/ideavim, 10k stars) and Mailspring App Screenshots (Foundry376/Mailspring, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Lzheng Training System?
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.