Token导航 LogoToken导航

Agent Skill · 开发

run-coach(跑步教练)

run-coach 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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。

run-coach 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 4,352。

总安装 8,460周安装 349GitHub Stars 公开资料未说明下载 2,764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
1.0.7

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:run-coach(跑步教练)
来源仓库:https://github.com/enawareness/run-coach
安装命令:
openclaw skills install run-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 run-coach

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

基于科学的跑步教练,提供高清视觉训练计划和 Garmin 同步功能。适合所有跑步者——从 5 公里健身到马拉松。

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 run-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

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

run-coach 怎么安装?

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

run-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。

run-coach 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

run-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。

run-coach 用的人多吗?

公开数据是累计安装 8,460 次,近一周安装 349 次,下载 2,764 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。

run-coach 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。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
run-coach

跑步教练 · 本页

8,460—接触敏感数据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
run-coach
description
Science-based running coach with HD visual training plans and Garmin sync. For all runners — from 5K fitness to marathon.
metadata
openclaw
requires
env
anyBins
primaryEnv
TELEGRAM_BOT_TOKEN
emoji
🏃
tags

Run Coach 🏃

A science-based running coach that works through Telegram. Logs your training, sends visual training plans as HD photo albums, syncs Garmin data, and coaches you with data-driven feedback.

Works for any runner — whether you're jogging 3x a week for fitness or training for your first marathon.

What it does

  • Training log — Record every run: distance, pace, heart rate, feel score
  • Visual plans — Training plans rendered as HD images sent to your Telegram Photos tab
  • Trend tracking — Pace, heart rate, mileage trends over weeks and months
  • Garmin sync — Pull data automatically from Garmin Connect (optional)
  • Injury monitoring — Tracks knee, plantar fascia, IT band signals
  • 4-week reviews — Automatic progress analysis every 4 weeks
  • Race prep — Structured build-up for 5K, 10K, half marathon, or full marathon

Setup

1. Required environment variables

Set these in your OpenClaw config or .env:

TELEGRAM_BOT_TOKEN=your_bot_token_from_botfather
TELEGRAM_CHAT_ID=your_telegram_user_id

To get your TELEGRAM_CHAT_ID: send /start to your bot — it will show Your Telegram user id: XXXXXXXXXX.

2. Fill in your profile

Edit MEMORY.md with your personal data: age, running history, injuries, goal race.

3. Optional: Garmin integration

⚠️ Known limitation: Garmin periodically changes their login flow. The garminconnect library may stop working after a Garmin-side update until the library maintainers patch it. Check garminconnect releases if sync suddenly fails. The rest of the bot works fine without Garmin — you can always log runs manually. ⚖️ Legal note: garminconnect uses Garmin's unofficial API (no official API exists). This may technically conflict with Garmin's Terms of Service. It accesses only your own data and Garmin has not acted against individual users, but use at your own discretion.

Set these additional env vars for automatic Garmin Connect sync:

GARMIN_EMAIL=your_garmin_email
GARMIN_PASSWORD=your_garmin_password

Then install the Python library:

pip install garminconnect

4. Optional: Visual training plans (self-hosted)

The image pipeline (visual training plans sent as Telegram photos) requires additional system dependencies. Install these in your container/environment:

# CJK fonts + emoji
apt-get install -y fonts-noto-cjk fonts-noto-color-emoji
fc-cache -f

# Playwright Chromium (chrome-headless-shell)
npx playwright install chromium

Without these, the coaching features still work — plans will be sent as text instead of images.

How to use

Log a run (text)

I ran 8km today, pace 5:30/km, avg HR 135, felt good

Log a run (screenshot — no Garmin needed)

Take a screenshot of your watch, running app (Strava, Nike Run Club, Apple Watch, etc.), or any device that shows your run data, and send it directly to the bot. The bot's built-in vision capability (LLM multimodal input) extracts the numbers — no OCR code is included in this skill.

[send screenshot of your watch/app summary]
Please log this run and give me feedback

Works with any device — the LLM reads the image natively, no integration required.

Request a visual training plan

Send me this week's training plan as an image

The bot calls training/text-to-image.sh and sends the plan as a Telegram photo album — appears in your Photos tab, full quality.

Get a weekly summary

Summarize my training this week

Sync Garmin data (optional)

Sync my Garmin data and give me feedback on today's run

Image pipeline

Training plans are rendered using Playwright + chrome-headless-shell and sent via Telegram sendMediaGroup (photo album). This means:

  • ✅ Appears in Telegram Photos tab
  • ✅ No compression on text
  • ✅ CJK (Chinese/Japanese/Korean) and emoji supported
  • ✅ Weekly plans sent as 2-photo album: run days + cross-training days
Note: The image pipeline requires Telegram. If you use a different channel (Discord, WhatsApp), the coaching features still work — only the visual plan sending is Telegram-specific.

Training methodology

Based on three evidence-based frameworks:

FrameworkApplication
Daniels VDOTPace zones derived from test results, not guesses
MAF heart rateEasy runs at truly easy effort — conversational pace
FIRST structureQuality sessions: Interval + Tempo + Long run
80/20 polarized80% easy volume, 20% quality — prevents overtraining

Safety rule: pain >4/10 means stop. Always.

Files included

run-coach/
├── SKILL.md              # This file — manifest + instructions
├── MEMORY.md             # User profile template (fill in your data)
├── training/
│   ├── send-plan.sh      # HTML → screenshot → Telegram album
│   ├── text-to-image.sh  # Text → HTML → screenshot → Telegram album
│   ├── screenshot.mjs    # Playwright screenshot engine
│   └── send-album.mjs    # Telegram sendPhoto (single) or sendMediaGroup (multi)
└── garmin/               # Optional Garmin integration
    ├── garmin-sync.py
    └── garmin-query.py

Agent instructions

When the user asks to send content as an image, use exec to run:

# Option A: convert text to image
bash training/text-to-image.sh "Title" "Content with \
 line breaks"

# Option B: weekly plan as 2-photo album (run days + cross-training days)
bash training/send-plan.sh "Week X Plan" training/week-XX-run.html training/week-XX-cross.html

# Option C: single HTML (today's plan, summaries — not for weekly plans)
bash training/send-plan.sh "Title" training/week-XX.html

Do NOT use canvas, browser, or Playwright directly. Only these two scripts.

If a script errors, report the exact error to the user — do not silently switch to text.

For all numeric calculations (pace conversions, HR zones, VDOT), use exec:

node -e "console.log(42.195 / (3*60+55))"

Never calculate in your head.

适合场景

01

文本生成图片

02

图片风格化

03

产品图和创意图

04

需要 FLUX 模型时

能力概览

能力 1

调用 FLUX 图像模型

能力 2

支持文本生图和图像改写

能力 3

覆盖 LoRA 或风格适配

能力 4

适合创意视觉生成

平台分布

OpenClaw

70%
按下载量换算1,935

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。

继续浏览同类 Skills