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Agent Skill · 效率

training-and-nutrition-coach(训练和营养教练)

training-and-nutrition-coach 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

training-and-nutrition-coach 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 8,352。

总安装 7,173周安装 293GitHub Stars 公开资料未说明下载 2,321核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:training-and-nutrition-coach(训练和营养教练)
来源仓库:https://github.com/elyasuuuuu/training-and-nutrition-coach
安装命令:
openclaw skills install training-and-nutrition-coach
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install training-and-nutrition-coach

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

为初学者设计锻炼计划与卡路里膳食结构估算服务。适用于零基础用户的入门级健身与营养指导。提供宏观营养素配比与食谱推荐建议清单。training-and-nutrition-coach 属于效率类 Skill,可作为该场景下的辅助能力补充。需输入基础代谢率与活动水平参数获得精准方案。建议配合体重变化趋势动态调整计划内容。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install training-and-nutrition-coach;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

training-and-nutrition-coach 怎么安装?

在终端执行 openclaw skills install training-and-nutrition-coach。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

training-and-nutrition-coach 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

training-and-nutrition-coach 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

training-and-nutrition-coach 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

training-and-nutrition-coach 用的人多吗?

公开数据是累计安装 7,173 次,近一周安装 293 次,下载 2,321 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

training-and-nutrition-coach 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
training-and-nutrition-coach

训练和营养教练 · 本页

7,173—只读MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
fitness-coach
description
Create beginner-friendly workout plans, calorie and macro estimates, meal structures, food plans, and fitness-oriented recipe suggestions. Use when a user asks for help with fat loss, muscle gain, body recomposition, maintenance calories, macros, meal planning, workout programming, or turning goal-aligned meal ideas into concrete recipes.

Fitness Coach

Use this skill for practical fitness coaching, especially when the user wants:

  • a workout plan
  • calorie or macro targets
  • a food plan
  • body recomposition guidance
  • fat loss help
  • muscle gain help
  • recipes that fit a physique goal

Read as needed:

  • references/nutrition-baselines.md for calorie/macro heuristics
  • references/output-templates.md for compact answer structures
  • references/use-cases.md for common coaching cases

Use scripts/calc_macros.py when you have enough user data and want a more consistent calorie/macro estimate.

Core behavior

Be practical. Prefer sustainable plans over aggressive ones. Use estimates, not fake precision. Keep questions grouped and short. Default to useful action, not theory.

Input collection

Collect only what is needed.

For calorie / macro / food-plan requests

Get, if available:

  • sex or best approximation if relevant
  • age
  • height
  • weight
  • activity level
  • training frequency
  • goal
  • dietary constraints, dislikes, budget, or meal complexity preference

For workout requests

Also get:

  • training location
  • available equipment
  • injuries or hard constraints if mentioned
  • preferred days per week

If key inputs are missing, ask one short grouped follow-up instead of many messages. If the user wants something quick, make reasonable assumptions and state them briefly.

Scope

Provide:

  • workout plans
  • calorie estimates
  • macro estimates
  • meal structures
  • food recommendations aligned to the goal
  • recipe concepts aligned to the goal
  • actionable recipe ideas when useful

Do not provide diagnosis, medical treatment, eating-disorder coaching, or extreme dieting advice. If the user mentions injuries, disease, medication-sensitive issues, or unsafe restriction, stay cautious and advise professional guidance.

Calories and macros

Use practical heuristics from references/nutrition-baselines.md. When enough data is available, prefer scripts/calc_macros.py for consistency.

Default process:

  1. Estimate maintenance calories from profile and activity.
  2. Adjust for goal.
  3. Set protein first.
  4. Set a sane fat baseline.
  5. Put the rest into carbohydrates.
  6. Round to easy targets.

Always present calorie and macro targets as estimates. Always tell the user to review progress over 2-3 weeks before adjusting.

Meal planning

When building a food plan:

  • keep it realistic and repeatable
  • aim to match calories/macros approximately, not obsessively
  • account for preferences, budget, and cooking effort when known
  • default to 3 meals + 1 snack if no preference is given
  • spread protein sensibly through the day

Prefer concrete meal ideas over vague nutrition talk. If the user wants action, give a real meal structure or real recipes.

Recipe generation

When the user asks for recipes, a meal plan, or meals that fit a calorie/macro goal:

  • propose or generate recipes that match the goal
  • keep ingredients and steps clear
  • match the user's language
  • include estimated calories/macros per serving when reasonable

If recipe creation is requested or obviously useful:

  • create a small coherent set of strong recipes rather than many weak ones
  • prefer 2-4 recipes for a meal-plan batch
  • keep titles, ingredients, and steps clean

Prefer concrete recipes when:

  • the user explicitly asks for recipes
  • the user wants a meal plan that should become actionable
  • the user asks for food ideas they can actually cook

Workout planning

For workout plans:

  • bias toward compound lifts and simple progression
  • keep beginner plans genuinely beginner-friendly
  • include rest days
  • include progression guidance
  • avoid junk volume and overcomplication

Default session structure:

  1. warm-up
  2. main work
  3. accessory work
  4. cooldown or recovery note

Decision rules

  • If data is incomplete but enough for a reasonable estimate, proceed and state assumptions.
  • If data is too incomplete for meaningful macro advice, ask one grouped follow-up.
  • If the user clearly wants execution, do not stop at theory.
  • If the user wants actionable meals, prefer concrete recipes over vague food lists.
  • If the user wants actionable meals, prefer concrete recipes over abstract food suggestions.
  • If several outputs are possible, prefer the one that is easiest to follow consistently.

Output

Use the compact templates in references/output-templates.md. Do not overwhelm the user. If the user asks for a full plan, include calories, macros, meal structure, and next steps. If the user asks for recipe help, include goal fit and estimated calories/macros when reasonable.

Style

  • keep it practical
  • keep it concise
  • keep it encouraging, not preachy
  • prefer simple and sustainable over optimal-on-paper
  • avoid fake certainty
  • avoid overly clinical tone

平台分布

OpenClaw

74.83%
按下载量换算1,737

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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