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.
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。
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Install Lzheng Strength Training Review
$ npx skills add LZheng0411/Lzheng-fitness --skill lzheng-strength-training-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LZheng0411/Lzheng-fitness lzheng-strength-training-review --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-strength-training-review .claude/skills/lzheng-strength-training-review && 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-strength-training-review" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-strength-training-review into .claude/skills/lzheng-strength-training-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-strength-training-review", 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-strength-training-reviewType 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-strength-training-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LZheng0411/Lzheng-fitness lzheng-strength-training-review --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-strength-training-review .agents/skills/lzheng-strength-training-review && 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-strength-training-review" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-strength-training-review into .agents/skills/lzheng-strength-training-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-strength-training-review", 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-strength-training-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LZheng0411/Lzheng-fitness lzheng-strength-training-review --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-strength-training-review .cursor/skills/lzheng-strength-training-review && 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-strength-training-review" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-strength-training-review into .cursor/skills/lzheng-strength-training-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-strength-training-review", 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-strength-training-review--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-strength-training-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LZheng0411/Lzheng-fitness lzheng-strength-training-review --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-strength-training-review .gemini/skills/lzheng-strength-training-review && 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-strength-training-review" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-strength-training-review into .gemini/skills/lzheng-strength-training-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-strength-training-review", 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-strength-training-reviewInstalls 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-strength-training-review -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-strength-training-review .github/skills/lzheng-strength-training-review && 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-strength-training-review" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-strength-training-review into .github/skills/lzheng-strength-training-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-strength-training-review", 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-strength-training-review -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-strength-training-review --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-strength-training-review .opencode/skills/lzheng-strength-training-review && 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-strength-training-review" agent skill from https://github.com/LZheng0411/Lzheng-fitness/tree/main/skills/lzheng-strength-training-review into .opencode/skills/lzheng-strength-training-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lzheng-strength-training-review", 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-strength-training-review- GitHub stars
- 119
- Token cost
- ~946 tokens
- SKILL.md length
- 160 words
- Files
- 9 (incl. references)
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- MIT
At a glance
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。
- Works in 4 steps: 周训练阶段复盘 weekly：用户说“这周复盘 / 周总结 /… → 周期单练复盘… → 滚动渐进… → …
- SKILL.md covers 必读上下文, 模式选择, 共同硬门槛：体感与含糊记录 and 单练复盘流程, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Lzheng Strength Training Review is an agent skill from LZheng0411/Lzheng-fitness. 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。
Its SKILL.md is about 950 tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files (for example `agents/openai.yaml`, `references/evidence-base.md` and `references/local-review-record-spec.md`).
The repository describes itself as: Lzheng的开源健身 Agent Skill 知识库. The licence is MIT.
Example prompts
- “这次练得怎么样”
- “这周训练复盘/总结”
- “是否严格执行”
- “/lzheng-strength-training-review”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 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。
- 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。
- 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。
- 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。
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
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.
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 Strength Training Review loads about 946 tokens when it runs, and up to ~6.6k if it reads all its reference files. Until then it costs about 49 tokens; SKILL.md has 160 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from LZheng0411/Lzheng-fitness at commit c9f0b57, republished under its MIT licence (© LZheng0411). 160 words, ~946 tokens.
Download SKILL.mdSave it as
.claude/skills/lzheng-strength-training-review/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.- name
- lzheng-strength-training-review
- description
- 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。
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：
- 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。 - 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。 - 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。 - 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
- 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。
- 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。
- 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。 - 询问并记录个人体感；对含糊或重复问题做最小追问。
- 评估恢复与安全，生成下一次明确处方或待确认调整。
- 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。
© 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 8 other files (references) in skills/lzheng-strength-training-review of LZheng0411/Lzheng-fitness.
- SKILL.md
- agents/openai.yaml
- references/evidence-base.md
- references/local-review-record-spec.md
- references/lzheng-cycle-adjustment-rules.md
- references/review-output-spec.md
- references/rolling-review-rules.md
- references/weekly-review-rules.md
- references/weekly-review-template.md
Open the folder on GitHubat commit c9f0b57
Compare with similar skills
Lzheng Strength Training Review 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 Strength Training Review this skillLZheng0411/Lzheng-fitness | 119 | — | ~946 | 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 |
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Questions about Lzheng Strength Training Review
What does Lzheng Strength Training Review 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。. Lzheng Strength Training Review is an agent skill from LZheng0411/Lzheng-fitness.
How do I install Lzheng Strength Training Review in Claude Code?
Run `npx skills add LZheng0411/Lzheng-fitness --skill lzheng-strength-training-review -a claude-code`. Or copy the skill folder (skills/lzheng-strength-training-review in LZheng0411/Lzheng-fitness) into .claude/skills/lzheng-strength-training-review in your project. Claude Code loads it when a task matches its description.
How do I install Lzheng Strength Training Review in Codex?
Run `npx skills add LZheng0411/Lzheng-fitness --skill lzheng-strength-training-review -a codex`. Or copy the skill folder (skills/lzheng-strength-training-review in LZheng0411/Lzheng-fitness) into .agents/skills/lzheng-strength-training-review in your project. Codex loads it when a task matches its description.
Can I use Lzheng Strength Training Review 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-strength-training-review -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-strength-training-review, .gemini/skills/lzheng-strength-training-review, .github/skills/lzheng-strength-training-review and .opencode/skills/lzheng-strength-training-review in your project.
What does Lzheng Strength Training Review need to run?
SKILL.md names no scripts, command-line tools or credentials: Lzheng Strength Training Review is instructions for the agent only.
Does Lzheng Strength Training Review 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 Strength Training Review 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. Review the folder before installing.
What licence does Lzheng Strength Training Review use?
Lzheng Strength Training Review 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 Strength Training Review use?
About 946 tokens (SKILL.md is roughly 3.8k 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 5.7k tokens, read only when the agent opens those files.
What are the alternatives to Lzheng Strength Training Review?
Skills that share tags, products or a category with Lzheng Strength Training Review: 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.
Who maintains Lzheng Strength Training Review?
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.