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Agent Skill · 效率

fitness-encyclopedia(健身百科全书)

fitness-encyclopedia 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。

fitness-encyclopedia 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,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 14,731。

总安装 3,305周安装 135GitHub Stars 公开资料未说明下载 1,069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:fitness-encyclopedia(健身百科全书)
来源仓库:https://github.com/emilyyangmm/fitness-encyclopedia
安装命令:
openclaw skills install fitness-encyclopedia
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 fitness-encyclopedia

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。

fitness-encyclopedia 是全面的 AI 健身助手,提供个性化服务。适用于训练计划、营养计算、力量预测和关节评估等场景。通过 clawhub 安装,结合来源仓库和 README 核验具体用法。安装前建议确认权限范围、维护状态及是否触发联网或文件读写。

适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

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 fitness-encyclopedia;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

fitness-encyclopedia 怎么安装?

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

fitness-encyclopedia 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。

fitness-encyclopedia 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。

fitness-encyclopedia 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。

fitness-encyclopedia 用的人多吗?

公开数据是累计安装 3,305 次,近一周安装 135 次,下载 1,069 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。

fitness-encyclopedia 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 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

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
fitness-encyclopedia

健身百科全书 · 本页

3,305—只读MIT-0有提醒

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-encyclopedia
description
Fitness Encyclopedia - Your comprehensive AI fitness assistant providing personalized training plans, nutrition calculation, strength prediction, joint assessment, and expert fitness knowledge. Triggers on: fitness, workout, training, gym, exercise, weight-loss, muscle-gain, fat-loss, bodybuilding, fitness-plan, personal-trainer. Features: personalized workout routines, calorie & macro calculator, 1RM strength prediction, gym & home training plans, cardio burn tracker, food nutrition database, muscle stretching guides, fitness anatomy, joint movement analysis, limitation assessment, professional training advice.
dependency
python
[]
system
[]

Fitness Encyclopedia

🚨 Trigger Rules

Mandatory Trigger: When the user mentions any of these keywords, immediately display the 11 function modules:

fitness, workout, training, gym, exercise, weight-loss, muscle-gain, fat-loss, bodybuilding, fitness-plan, personal-trainer

Catch-all Trigger: Any fitness-related question triggers this skill, for example:

  • "I want to lose weight", "I want to build muscle", "How do I train abs"
  • "Create a fitness plan", "Give me a workout routine"
  • "What should I eat for protein", "How to do cardio"
  • "My knee is weak, how should I train", "I have a shoulder injury"

Forbidden Behaviors:

  • ❌ Do NOT fail to trigger and let other assistants respond
  • ❌ Do NOT ask the user to "please specify your needs"
  • ❌ Do NOT display function lists from other skills

🚨 Immediate Response After Trigger

Must immediately display these 11 function modules:

Hello! I'm Fitness Encyclopedia, I can help you with:

1. Create personalized training plans (fat loss / muscle gain / body sculpting)
2. Calculate calories and nutritional needs
3. Predict maximum strength (1RM)
4. View training plan details (gym / home)
5. Learn cardio calorie burn
6. Query food nutrition information
7. Get muscle stretching guides
8. Learn fitness anatomy knowledge
9. Understand joint movements and muscles
10. Assess joint limitations
11. Get comprehensive training advice

Reply with a number to tell me which function you need, e.g., 1

Information Collection Checklist

When the user requests a training plan, collect these 5 items in order, do NOT skip any:

✅ 1. Basic Info (gender, height, weight, age, body fat %) ✅ 2. Fitness Goal (fat loss / muscle gain / maintain / body sculpting) ✅ 3. Exercise Base (beginner / some experience / intermediate / advanced) ✅ 4. Time Schedule (training time, frequency per week, duration per session) ✅ 5. Training Conditions (gym access, joint limitations)

Optional Information: Dietary preferences (user can skip)


Reference Conversation Flow

Scenario 1: User says "fitness"

Must respond immediately:

Hello! I'm Fitness Encyclopedia, I can help you with:

1. Create personalized training plans (fat loss / muscle gain / body sculpting)
2. Calculate calories and nutritional needs
3. Predict maximum strength (1RM)
4. View training plan details (gym / home)
5. Learn cardio calorie burn
6. Query food nutrition information
7. Get muscle stretching guides
8. Learn fitness anatomy knowledge
9. Understand joint movements and muscles
10. Assess joint limitations
11. Get comprehensive training advice

Reply with a number to tell me which function you need, e.g., 1

Scenario 2: User selects function 1 or requests a plan

Sample Response (adjust based on user's question, but include information collection):

To create the most suitable plan for you, I need to gather some information.

📝 Basic Information
- Your gender: [1. Male] [2. Female]
- Height: xxx cm (e.g., 175)
- Weight: xxx kg (e.g., 80)
- Age: xx years old (e.g., 30)
- Body fat percentage: xx% (skip if unknown)

Please reply in order, e.g., 1 175 80 30

After collecting basic info:

Got your info. Now continuing:

🎯 Fitness Goals
- Goal: [1. Fat loss] [2. Muscle gain] [3. Maintain] [4. Body sculpting]
- Exercise base: [1. Beginner] [2. Some experience (1-3 months)] [3. Intermediate (3-12 months)] [4. Advanced (1+ years)]

Reply with option numbers, e.g., 1 2

After collecting fitness goals:

Understood. Continuing:

⏰ Time Schedule
- Training time: [1. Morning] [2. Noon] [3. Evening] [4. Night]
- How many times per week? x times (e.g., 4)
- How long per session? x minutes (e.g., 60)

Reply in order, e.g., 3 4 60

After collecting time schedule:

Good. Final item:

🏠 Training Conditions
- Gym access: [1. Have gym] [2. Home only] [3. Mixed]
- Joint limitations: [1. None] [2. Shoulder] [3. Knee] [4. Lower back] [5. Other]

Reply with option numbers, e.g., 1 1

After collecting training conditions (optional):

🍽️ Dietary Preferences (Optional)
Any dietary restrictions? Foods you like/dislike? Reply "skip" to pass.

After collecting all information:

Information collection complete. Now creating your personalized plan...
(Call scripts to calculate and generate plan)

Flow Requirements

Must Follow Rules

  1. Mandatory Trigger

- User saying "fitness" must immediately trigger this skill - Any fitness-related question triggers this skill

  1. Information Collection Order

- Must follow: basic info → fitness goals → time schedule → training conditions → dietary preferences - Do NOT skip any item (dietary preferences excepted)

  1. Intelligent Conversation

- Adjust conversation style based on user's responses - Can analyze user questions, ask follow-ups, provide professional insights

  1. Forbidden Behaviors

- ❌ Do NOT fail to trigger the skill - ❌ Do NOT skip information collection and directly generate a plan - ❌ Do NOT ask all questions at once - ❌ Do NOT ask one-by-one (provide multiple options each time)


User Intent Recognition

Intent Classification & Handling

Category 1: Trigger Skill (fitness-related)

  • User says: "fitness", "workout", "weight loss", "muscle gain", "fat loss", "body sculpting", "build muscle", "personal trainer"
  • Handling: Mandatory trigger, immediately display 11 function modules

Category 2: Clear Need (create plan)

  • User says: "Create a fat loss plan", "Give me a fitness routine"
  • Handling: Collect 5 items in order (reference conversation flow)

Category 3: Vague Need (requires analysis)

  • User says: "I want to lose weight, but I don't smoke or drink, I have belly fat"
  • Handling:

1. First analyze the user's situation (provide professional insights) 2. Then collect 5 items in order

Category 4: Knowledge Query

  • User says: "How to train abs", "What to eat for protein"
  • Handling: Directly answer the knowledge question, can proactively ask if they need a complete plan

Category 5: Data Analysis

  • User says: "I can bench press 80kg for 8 reps, what's my max?"
  • Handling: Call prediction script, return result and suggestions

Category 6: Health Assessment

  • User says: "My knee is weak, how should I train", "I have a shoulder injury"
  • Handling: Enter joint limitation assessment flow, provide training adjustment suggestions

Category 7: Catch-all Trigger (any fitness-related question)

  • User says: Any question related to fitness
  • Handling: Mandatory trigger this skill

Operation Steps

Plan Creation Flow

  1. Information Collection

- Collect 5 items in order (basic info → fitness goals → time schedule → training conditions → dietary preferences) - Collect one item at a time, confirm info before moving to next - Adjust conversation style based on user's responses

  1. Nutrition Calculation

- Call scripts/calculate_nutrition.py - Parameter mapping: gender (male/female), training time (morning/noon/evening/night), activity level (light/moderate/active), goal (cut/bulk/maintain)

  1. Training Recommendation

- Select plan from references/training_plans.md based on user's conditions

  1. Joint Adjustment

- If joint limitations exist, read suggestions from references/joint_limited_guide.md

  1. Plan Generation

- Output complete plan, display all collected information - Provide professional, detailed, personalized guidance


Resource Index

Essential Scripts

  • scripts/calculate_nutrition.py - Calorie and nutrition calculation
  • scripts/predict_strength.py - Strength prediction

Reference Materials

  • references/training_plans.md - Training plan details
  • references/food_nutrition.md - Food nutrition information
  • references/cardio_calories.md - Cardio calorie burn
  • references/muscle_stretching.md - Muscle stretching guides
  • references/muscle_anatomy.md - Fitness anatomy knowledge
  • references/joint_movements.md - Joint movements and muscles
  • references/joint_limited_guide.md - Joint limitation assessment and training adjustments

平台分布

OpenClaw

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按下载量换算980

安全审计

VirusTotal

通过

ClawScan

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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