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Lzheng Training Return

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LZheng0411
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 不作医疗诊断,也不把停训前重量直接照搬回来。

Overview

PublisherLZheng0411
RepositoryLzheng-fitness
Skill namelzheng-training-return
Stars
137
Forks
10
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by LZheng0411 on GitHub. Read the source before you install it.

Installation

Install the Lzheng Training Return AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-training-return
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/LZheng0411/Lzheng-fitness.git /tmp/Lzheng-fitness
mkdir -p .claude/skills
cp -r /tmp/Lzheng-fitness/skills/lzheng-training-return .claude/skills/lzheng-training-return
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lzheng Training Return in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Lzheng Training Return on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Lzheng Training Return is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Lzheng 训练中断恢复

目标

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。

使用边界

满足任一条件时使用本 Skill:

  • 停训达到 7 天;
  • 连续漏练 3 次;
  • 生病后恢复,或伤病已经过适当评估并获准恢复;
  • 训练场地、器械、时间或身体能力明显变化;
  • 4 周内反复中断;
  • 用户主动询问中断恢复或重新开始训练。

以下情况不在本 Skill 内直接安排普通训练:

  • 胸痛、晕厥、异常气短等需要医疗评估的症状;
  • 疼痛加重、麻木、明显功能受限或尚未明确能否恢复运动;
  • 急性发热、全身症状仍在持续;
  • 用户无法确认关键安全信息。

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。

必读资料

开始诊断前完整读取:

  1. references/knowledge-routing.md
  2. references/return-workflow.md
  3. references/return-card-spec.md
  4. references/evidence-base.md
  5. ../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。

工作流

1. 读取当前执行基准

优先收集:

  • 最近一份带时间戳的状态快照;
  • 中断前正在执行的计划及最近完成训练;
  • 本次用户确认的动态事实;
  • 用户授权且当前环境可访问时,读取外部训练记录服务中的当前记录、日记和恢复状态;
  • 中断前后的器械、时间和生活条件变化。

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”。

2. 做最小恢复问诊

至少确认:

  • 最后一次训练日期和中断时长;
  • 中断原因与过去 4 周的反复情况;
  • 当前症状、疼痛、活动受限及医疗建议;
  • 睡眠、压力、食欲、主观精力;
  • 当前可训练时间、场地与器械;
  • 中断前计划、主要动作及可复现重量;
  • 用户现在最愿意完成的最小训练任务。

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。

3. 判定恢复权限

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。

4. 选择接回路径

遵循 references/return-workflow.md:

  • 保留原计划主线和熟悉动作;
  • 第一周以出勤、动作感觉、疼痛反应和恢复为主要判据;
  • 不补课、不叠加错过的训练量、不测试极限;
  • 根据中断长度、原因和当前状态回退训练压力;
  • 给出正常、降级、最低三档任务;
  • 设定 48 小时内能完成的下一步;
  • 明确何时升级、维持、继续降级或暂停。

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。

5. 保存产物

生成并保存:

  1. 新的状态快照;
  2. 《Lzheng 个人训练接回卡》;
  3. 如用户需要,更新后的第一周训练安排。

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。

输出要求

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:

  • 中断事实与当前恢复权限;
  • 本周目标和不做事项;
  • 第一次训练的正常/降级/最低三档;
  • 接下来 7 天的安排;
  • 48 小时内的具体行动;
  • 升级、维持、降级、暂停标准;
  • 需要继续确认的未知信息;
  • 本次实际读取的本地资料、联网核验与用户事实。

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。

禁止事项

  • 不要求把漏掉的训练补回来;
  • 不使用惩罚性有氧;
  • 不在恢复首周测试 1RM、力竭或高技术动作极限;
  • 不因一次中断就随机更换全部动作;
  • 不把推断写成已确认事实;
  • 不提供伤病诊断或替代医疗建议;
  • 不自动调用专项力量周期 Skill。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Lzheng Training Return AI skill do?

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。

Why use Lzheng Training Return on TypingMind?

Because you install it once and use it with any model. Lzheng Training Return is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Lzheng Training Return in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-training-return. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Lzheng Training Return?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Lzheng Training Return?

As many as you like. As long as a model supports skills, you can use Lzheng Training Return with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Lzheng Training Return AI skill free?

Yes. It is published on GitHub by LZheng0411 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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