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bestyou-coach最好的你教练

Agent Skill

bestyou-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。

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4,116

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下载量

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:bestyou-coach(最好的你教练)
来源仓库:https://github.com/kentsteffen/bestyou-coach
安装命令:
openclaw skills install bestyou-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 bestyou-coach

简介

将健康数据可视化呈现为仪表板。

  • 生成每日简报与每周总结辅助决策。
  • 支持膳食分析与行动计划制定。bestyou-coach 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 安装命令:openclaw skills install bestyou-coach。
  • 数据展示依赖设备同步频率与准确性。

SKILL.md

name
bestyou-coach
description
>
homepage
https://bestyou.ai/openclaw-setup
metadata
openclaw
requires
env
primaryEnv
BESTYOU_API_KEY

BestYou Coach Widgets

Render BestYou MCP tool responses as rich visual cards using OpenClaw's canvas.

First-Time Setup

Before calling any tools, check that mcporter is installed and the BestYou server is configured:

mcporter --config ~/.openclaw/workspace/config/mcporter.json list
  • If mcporter is not found: npm install -g mcporter
  • If bestyou is not listed: walk the user through setup. See references/setup.md for the full guide.

Setup summary:

  1. User generates an API key in BestYou iOS (More → Connected Apps → OpenClaw)
  2. Create config/mcporter.json with the key in the Authorization Bearer header (see references/setup.md for the exact JSON format)
  3. Restart the OpenClaw gateway

Calling Tools via mcporter

All tools use this syntax:

mcporter --config config/mcporter.json call bestyou.<tool_name> [param=value ...]

If a custom config path is needed (e.g. calling from outside the workspace), use the full path:

mcporter --config ~/.openclaw/workspace/config/mcporter.json call bestyou.<tool_name> [param=value ...]

Examples:

mcporter call bestyou.get_account_link_status
mcporter call bestyou.get_daily_briefing date=2026-03-15
mcporter call bestyou.get_todays_action_plan date=2026-03-15
mcporter call bestyou.get_progress_snapshot date=2026-03-15
mcporter call bestyou.get_weekly_summary weekEndDate=2026-03-15
mcporter call bestyou.generate_workout type=strength duration=20 equipment=bodyweight experienceLevel=Intermediate goal="General strength"
mcporter call bestyou.analyze_meal_text description="chicken burrito bowl" timestamp=2026-03-15T12:30:00-06:00

If a custom mcporter config path is needed, add --config <path>.

Tool-to-Template Map

MCP ToolTemplateDescription
get_account_link_statusassets/account-status.htmlConnection status, scopes
get_daily_briefingassets/daily-briefing.htmlReadiness, insights, priorities
get_todays_action_planassets/action-plan.htmlTimeline of today's blocks
get_progress_snapshotassets/progress-snapshot.htmlDomain scores, recommendations
get_weekly_summaryassets/weekly-summary.htmlWeekly scores, trends, goals
analyze_meal_textassets/meal-analysis.htmlMacro breakdown, components
generate_workoutassets/workout.htmlExercise cards with images

Rendering Workflow

  1. Call the BestYou MCP tool via mcporter
  2. Read the matching template from assets/
  3. Replace the sample data in the HTML with the actual API response values (see data mapping below)
  4. Inline the CSS: copy the contents of assets/shared.css into a <style> tag in the HTML <head> so the output is self-contained
  5. Present the populated HTML via canvas(action="present") or canvas(action="a2ui_push")
  6. Provide a brief text summary alongside the visual

Design System

All templates use the BestYou Dark Glass design system (assets/shared.css):

  • Background: #0a0a0a, cards: #141414, borders: #1e1e1e
  • Font: Inter (Google Fonts)
  • Color coding: green (#4ade80) = good, yellow (#facc15) = moderate, orange (#fb923c) = warning, red (#f87171) = poor
  • Score thresholds: ≥70 green, 40-69 yellow/orange, <40 red

Handling Missing Data

API responses may contain null or missing fields. Rules:

  • If a score field is null, hide the gauge/bar or show "—" instead of a number
  • If an array is empty or missing, omit that section entirely (don't render empty containers)
  • If totalCalories or calorieGoal is null, omit the calorie summary row
  • Never show "null" or "undefined" in rendered HTML

Data Mapping by Template

Daily Briefing

API response structure (nested):

API PathTemplate ElementNotes
headline.headline text
readinessScore.gauge-value + SVG stroke-dashoffsetFormula: 314 - (314 * score / 100)
dayType.day-type .valueCapitalize, add emoji: recovery=🔄, active=💪, rest=😴
yesterday.highlights[].insight-card blocksPositive insights (icon, title, description)
yesterday.areas[].insight-card blocksNegative/improvement insights, render after highlights
today.priorities[].action-item blocksNumbered, with title and description
today.plans[].plan-tag blocksEmoji, plan name, week/day info
insightCards[]Cross-domain sectionFilter for domain: "multi" entries, render as cross-domain insight cards

Action Plan

API PathTemplate ElementNotes
readiness.score.readiness-score + badge
readiness.dayType.rm-type
blocks[].block-card itemsGroup by timePeriod: morning/afternoon/evening

Block icon mapping by blockType:

  • wakeUp → 😴 (recovery icon bg)
  • breakfast → 🍳 (nutrition icon bg)
  • lunch → 🥗 (nutrition icon bg)
  • snack → 🥤 (nutrition icon bg, or 🥑 for second snack)
  • dinner → 🍽️ (nutrition icon bg)
  • workout / cardio / strength → 🏃 (fitness icon bg)
  • goToBed → 🌙 (recovery icon bg)

Block status: completed → ✅, upcoming or pending → ⬜

Progress Snapshot

API PathTemplate ElementNotes
domains[].domain-card gridEach: name, score, color-coded mini bar
insights[].insight-item cardsWith severity badge (high=red, medium=orange, low=blue)
recommendations[].rec-item cardsWith actionSteps[] as list items
crossDomainPatterns[].cross-domain cardsWith domain badges

Weekly Summary

API PathTemplate ElementNotes
overallScoreGauge SVG + label
domains[].domain-section blocksEach: trend badge (improving/declining/stable), stats, insight
achievements[].achievement cardsEmoji + title + description
nextWeekFocus[].next-week-goal itemsWith priority badge

Meal Analysis

API PathTemplate ElementNotes
mealName.meal-name
calories.meal-cal
protein_g, fat_g, carbs_g, fiber_gMacro bar segments + legendFlex ratios = gram values
components[].component rowsName, amount, calories, per-component macros
insights[].insight-row items.positive or .negative indicator bar
dailyTotals.daily-totals sectionCalories, protein, fat, carbs

Workout

API PathTemplate ElementNotes
sessionNameHeader h1
duration, equipment, levelHeader .meta spans
blocks[].block sectionsPhase badge: warmup=green, main=orange, cooldown=blue

Each exercise within a block:

  • imageUrl<img> src (CDN: cdn.bestyou.ai)
  • nameh3
  • sets, reps, weight, rpe, rest.rx-pill spans
  • notes.exercise-notes
  • targetMuscle, exerciseType.exercise-cues

Conversation Patterns

Morning check-in

User: "What's my day look like?" or "Morning briefing"

  1. get_account_link_status → verify connected
  2. get_daily_briefing → render briefing widget
  3. get_todays_action_plan → render action plan widget
  4. Summarize: readiness score, day type, top priority

Progress check

User: "How am I doing?" or "Show my progress"

  1. get_progress_snapshot → render snapshot widget
  2. Highlight strongest and weakest domains, top recommendation

Meal logging

User: "I just had [food description]"

  1. analyze_meal_text with the description → render meal widget
  2. Note protein hit vs target, suggest next meal bias

Workout request

User: "Give me a workout" or "[duration] [type] workout"

  1. generate_workout with parameters → render workout widget
  2. Brief summary: duration, focus, number of exercises

Weekly review

User: "Weekly summary" or "How was my week?"

  1. get_weekly_summary → render weekly widget
  2. Highlight trends (improving/declining), top achievement, next week focus

Text Summary Style

Keep text summaries alongside widgets brief and actionable:

  • Lead with the key number (readiness score, calories, overall score)
  • One sentence on what's going well
  • One sentence on the top action item
  • No need to repeat everything the widget shows visually

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

94.98%
按下载量换算1,370

安全审计

VirusTotal

通过

ClawScan

通过

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通过

权限和风险

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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