Lzheng Strength Training Review logo

Lzheng Strength Training Review

Community
LZheng0411
lzheng-strength-training-review

复盘一次力量训练或一个训练周。支持按当前计划定位 Wn 和训练职责、无周期滚动渐进、数据不足时的基准训练,以及固定格式的周训练阶段复盘。用于“今天练了”“这次练得怎么样”“下次练什么”“这周训练复盘/总结”“是否严格执行”“是否需要减载或调整计划”等;正式沉淀前必须询问个人体感,并对会影响判断的含糊外部训练记录和重复问题做追问。

Overview

PublisherLZheng0411
RepositoryLzheng-fitness
Skill namelzheng-strength-training-review
Stars
137
Forks
10
Bundled files
8
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.

  • 8 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 Strength Training Review 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-strength-training-review
  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-strength-training-review .claude/skills/lzheng-strength-training-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lzheng Strength Training Review 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 Strength Training Review 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 Strength Training Review 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—力量训练复盘

把单次训练或一个训练周放回可验证的推进路径。先核对事实,再收集个人体感,最后形成下一次处方或周度决策;不得用客观数字替代用户的真实感受。

必读上下文

  • 动态训练事实:用户直接提供的完整当次记录优先;用户授权且当前环境可访问外部训练记录时,再查询最近记录、恢复信息和体重。
  • 当前处方:读取用户明确指定的当前计划;未指定时先读取 系统/lzheng-system.json 的 output_locations.plans,尚未建立系统配置时再检查 LZHENG_FITNESS_HOME/plans/ 和当前工作目录的 lzheng-fitness-output/plans/。不要把历史 HTML 或保留副本当作当前处方。
  • 周期调整:需要审核或修改多周计划时,读取 Lzheng 周期调整规则。即使没有安装周期规划 Skill,本 Skill 也必须能够完成调整判断。
  • 无周期推进:进入滚动或基准模式时,读取 无周期滚动复盘规则。
  • 周训练阶段复盘:读取 周训练复盘规则 和 周训练复盘模板。
  • 输出与沉淀:读取 复盘输出规范 和 本地记录规范。
  • 证据边界:读取 证据基础。
  • 专家知识:仅当营养、肌肥大、计划结构、力量瓶颈、反复中断或已获专业允许活动后的返场变量会改变复盘时,按 训练专家选择协议 读取最少必要模块。

专家模块不得覆盖当次训练事实、个人体感、当前计划或下一次处方。实际采用时先展示来源限定判断与保留,再由本 Skill 在 Lzheng健身系统总结 中结合当前记录给出最终复盘;未采用时不增加专家区块。

模式选择

只选择一个模式:

  1. 周训练阶段复盘 weekly:用户说“这周复盘 / 周总结 / 本周训练怎么样”,或明确要求汇总一个 Wn;汇总该周全部训练日、主项暴露、重复问题与关键决策。
  2. 周期单练复盘 cycle:存在当前有效计划,并能核验计划版本、Wn、训练日和动作职责。
  3. 滚动渐进 rolling:没有当前有效周期,但至少存在两次可比记录;先审核用户现有渐进方式。
  4. 基准训练 baseline:没有当前有效周期,且只有一次或没有可靠可比记录。

疑似存在周期但版本、周次或训练职责无法对应时,先提出最少量澄清问题;不得为了给出答案擅自切换到滚动模式。周复盘的周次同样以当前计划和复盘索引为准,不按自然日期猜测。

共同硬门槛:体感与含糊记录

个人体感先于正式沉淀

在给出正式结论、修改周期或写入“已复盘”前,先问用户本次训练 / 本周的个人体感。若用户已经提供足够明确的体感,不重复提问。

  • 单练至少问:整体感觉、最顺/最别扭的动作、疼痛或异常疲劳、与上次可比训练的差异。
  • 周复盘至少问:整体恢复与训练意愿、最顺与最消耗的一节、疼痛/动作失控/心理抗拒,以及外部记录未体现但会影响下周的感受。
  • 用户未回复时,可以保存事实副本为 待补全;不得把推测写成正式结论,也不得据此修改计划。安全红旗除外,应立即停止相关高强度推进并说明原因。

外部记录含糊时做最小追问

只在含糊字段影响安全、可比性或处方时追问,并明确缺什么、为何重要:

  • RPE/RIR、重量、组数、次数、器械或正式组不清;
  • “酸、累、不舒服、有感觉”等描述的部位、性质、时点和持续时间不清;
  • 实际与处方差异明显但未说明原因;
  • 负重引体等自重负重动作缺当天体重或动作标准。

不得把“不清楚”自动解释为正常疲劳、动作错误或计划失效。

重复问题必须问原因

同一类问题在两次可比训练或连续两周出现时,不能只写“下次注意”。必须向用户追问:是选重、额外加组、休息、刻意追求力竭、技术、生活恢复,还是处方本身不合适;并询问是否愿意调整。用户未回答前,只能给保守执行限制,不得重写正式计划。

单练复盘流程

  1. 核验训练日期、动作与器械、正式组、逐组 RPE/RIR、动作标准、休息、疼痛和异常疲劳;负重自重动作记录当天体重。
  2. 定位周期处方,或读取最近 2—4 次可比记录,或建立保守基准。
  3. 逐动作比较重量、次数、组数、动作标准与逐组 RPE;多组事实写逐组 RPE,未来处方写 首组 RPE→末组 RPE。
  4. 询问并记录个人体感;对含糊或重复问题做最小追问。
  5. 评估恢复与安全,生成下一次明确处方或待确认调整。
  6. 按本地记录规范沉淀、更新索引;在 Wn 进度或处方变化时,先把当前计划 schedule 更新为覆盖今天的真实日期、统一 Wn 与已确认处方,再创建交接并刷新训练摘要/工作台。

不要因首组偏轻、末组正常变难或一次状态差判定方案失效;不同动作独立推进,不能因一个主项偏轻让整堂训练一起加码。

周训练阶段复盘流程

按 周训练复盘规则 执行。核心顺序固定为:

总目标与当前水平 → 当前周期及本周进度 → 主项严格执行度 → 个人体感与记录澄清 → 偏差分级与重复问题追问 → 关键决策 → 下周验证 → 正式沉淀

周复盘不是训练流水账。它必须明确本周哪些目标已通过、哪些仍待验证,以及本周沉淀了什么会影响下周、本周期或下周期的决策。

权限边界

  • 每次完成复盘后写入可移植的本地 Markdown 记录并更新索引。用户指定目录优先;否则先使用 系统/lzheng-system.json 的 output_locations.reviews,尚未建立系统配置时才使用 LZHENG_FITNESS_HOME/reviews/ 或当前工作目录的 lzheng-fitness-output/reviews/。
  • 不得编造、补全或篡改外部原始训练记录;默认不写回外部服务。
  • 周期模式中,改变周次、动作、重量、次数、组数、RPE 路径、测试目标或后续周期,先给完整待确认方案;确认后创建新的 -vNN.html,不得覆盖旧版本。
  • 滚动模式中,可以直接给出下一次的小幅调整:一次只改变重量、次数或组数中的一个主要变量;加重不超过最小加重单位,减重通常为 2.5%—7.5%,或减少 1 组。
  • 创建多周周期、改变每周频率、训练日结构、动作体系或测试目标,仍需先确认。
  • 周复盘可直接沉淀已确认的事实和决策;涉及当前计划变更仍遵守上述确认边界。
  • 周次进入下一周但处方本质未变时,可以同步 schedule 的日期与 Wn;若动作、重量、组次、RPE 或训练结构发生实质变化,仍须按版本规则先确认并创建新计划版本。

固定输出与质量检查

严格按 复盘输出规范 输出。每次完成后按 本地记录规范 创建或修订一个记录并更新索引;同一来源不得重复建档。

完成前检查:

  • 没有伪造 Wn、计划版本、训练日、体重或个人体感;
  • 用户体感已询问或已在来源中明确记录;
  • 含糊外部记录和重复问题已追问,或明确标为待补全;
  • 一次异常没有被误判为长期或周期问题;
  • 下一次训练含明确重量/选重规则、组次、RPE 和执行条件;
  • 未经确认没有创建周期、重构训练安排或修改外部训练记录;
  • 记录、索引与需要更新的训练摘要已保存并验证。
  • 进入新周时,当前计划 schedule 已覆盖今天、训练日使用统一 Wn,且工作台周切换回归已通过。

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 Strength Training Review AI skill do?

复盘一次力量训练或一个训练周。支持按当前计划定位 Wn 和训练职责、无周期滚动渐进、数据不足时的基准训练,以及固定格式的周训练阶段复盘。用于“今天练了”“这次练得怎么样”“下次练什么”“这周训练复盘/总结”“是否严格执行”“是否需要减载或调整计划”等;正式沉淀前必须询问个人体感,并对会影响判断的含糊外部训练记录和重复问题做追问。

Why use Lzheng Strength Training Review on TypingMind?

Because you install it once and use it with any model. Lzheng Strength Training Review 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 Strength Training Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-strength-training-review. 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 Strength Training Review?

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 Strength Training Review?

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

Is the Lzheng Strength Training Review 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇