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Agent Skill · 研究检索

wellally-tech(威利科技)

wellally-tech 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

wellally-tech 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 42,966。

总安装 1,024周安装 44GitHub Stars 837下载 359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

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:wellally-tech(威利科技)
来源仓库:https://github.com/huifer/wellally-health
仓库路径:skills/wellally-tech
安装命令:
npx skills add https://github.com/huifer/wellally-health --skill wellally-tech
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/huifer/wellally-health --skill wellally-tech

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。通过 npx skills add 命令从指定仓库安装并使用。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。

可结合来源仓库和原始 README 进一步核验具体用法。

来源仓库内路径:skills/wellally-tech

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/huifer/wellally-health --skill wellally-tech;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

    它需要需要联网,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

wellally-tech 怎么安装?

在终端执行 npx skills add https://github.com/huifer/wellally-health --skill wellally-tech。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

wellally-tech 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

wellally-tech 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

wellally-tech 是免费的吗?

来源标注的许可证是 MIT。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。

wellally-tech 用的人多吗?

公开数据是累计安装 1,024 次,近一周安装 44 次,下载 359 次,GitHub 837 星。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。

wellally-tech 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,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。

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 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
wellally-tech

威利科技 · 本页

1,024837需要联网MIT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

WellAlly Digital Health Integration

Integrate multiple digital health data sources, connect to WellAlly.tech knowledge base, providing data import and knowledge reference for personal health management systems.

Core Features

1. Digital Health Data Import

  • Apple Health (HealthKit): Export XML/ZIP file parsing
  • Fitbit: OAuth2 API integration and CSV import
  • Oura Ring: API v2 data synchronization
  • Generic Import: CSV/JSON file import with field mapping

2. WellAlly.tech Knowledge Base Integration

  • Categorized Article Index: Nutrition, fitness, sleep, mental health, chronic disease management
  • Intelligent Recommendations: Recommend relevant articles based on user health data
  • URL References: Provide direct links to WellAlly.tech platform

3. Data Standardization

  • Format Conversion: Convert external data to local JSON format
  • Field Mapping: Intelligently map data fields from different platforms
  • Data Validation: Ensure completeness and accuracy of imported data

4. Intelligent Article Recommendations

  • Health Status Analysis: Based on user health data analysis
  • Relevance Matching: Recommend articles most relevant to user health conditions
  • Category Navigation: Organize knowledge base articles by health topics

Usage Instructions

Trigger Conditions

Use this skill when users mention the following scenarios:

Data Import:

  • ✅ "Import my health data from Apple Health"
  • ✅ "Connect my Fitbit device"
  • ✅ "Sync my Oura Ring data"
  • ✅ "Import CSV health data file"
  • ✅ "How to import fitness tracker/smartwatch data"

Knowledge Base Query:

  • ✅ "Articles about hypertension on WellAlly platform"
  • ✅ "Recommend some health management reading materials"
  • ✅ "Recommend articles based on my health data"
  • ✅ "WellAlly knowledge base articles about sleep"
  • ✅ "How to improve my blood pressure (check knowledge base)"

Data Management:

  • ✅ "What health data sources do I have"
  • ✅ "Integrate health data from different platforms"
  • ✅ "View imported external data"

Execution Steps

Step 1: Identify User Intent

Determine what the user wants:

  1. Import Data: Import data from external health platforms
  2. Query Knowledge Base: Find WellAlly.tech related articles
  3. Get Recommendations: Recommend articles based on health data
  4. Data Management: View or manage imported external data
Step 2: Data Import Workflow

If user wants to import data:

2.1 Determine Data Source

const dataSource = identifySource(userInput);
// Possible returns: "apple-health", "fitbit", "oura", "generic-csv", "generic-json"

2.2 Read External Data Use appropriate import script based on data source type:

// Apple Health
const appleHealthData = readAppleHealthExport(exportPath);

// Fitbit
const fitbitData = fetchFitbitData(dateRange);

// Oura Ring
const ouraData = fetchOuraData(dateRange);

// Generic CSV/JSON
const genericData = readGenericFile(filePath, mappingConfig);

2.3 Data Mapping and Conversion Map external data to local format:

// Example: Apple Health steps mapping
function mapAppleHealthSteps(appleRecord) {
  return {
    date: formatDateTime(appleRecord.startDate),
    steps: parseInt(appleRecord.value),
    source: "Apple Health",
    device: appleRecord.sourceName
  };
}

// Save to local file
saveToLocalFile("data/fitness/activities.json", mappedData);

2.4 Data Validation

function validateImportedData(data) {
  // Check required fields
  // Validate data types
  // Check data ranges
  // Ensure correct time format

  return {
    valid: true,
    errors: [],
    warnings: []
  };
}

2.5 Generate Import Report

const importReport = {
  source: dataSource,
  import_date: new Date().toISOString(),
  records_imported: {
    steps: 1234,
    weight: 30,
    heart_rate: 1200,
    sleep: 90
  },
  date_range: {
    start: "2025-01-01",
    end: "2025-01-22"
  },
  validation: validationResults
};
Step 3: Knowledge Base Query Workflow

If user wants to query knowledge base:

3.1 Identify Query Topic

const topic = identifyTopic(userInput);
// Possible returns: "nutrition", "fitness", "sleep", "mental-health", "chronic-disease", "hypertension", "diabetes", etc.

3.2 Search Relevant Articles Find relevant articles from knowledge base index:

function searchKnowledgeBase(topic) {
  // Read knowledge base index
  const kbIndex = readFile('.claude/skills/wellally-tech/knowledge-base/index.md');

  // Find matching articles
  const articles = kbIndex.categories.filter(cat =>
    cat.tags.includes(topic) || cat.keywords.includes(topic)
  );

  return articles;
}

3.3 Return Article Links

const results = {
  topic: topic,
  articles: [
    {
      title: "Hypertension Monitoring and Management",
      url: "https://wellally.tech/knowledge-base/chronic-disease/hypertension-monitoring",
      category: "Chronic Disease Management",
      description: "Learn how to effectively monitor and manage blood pressure"
    },
    {
      title: "Blood Pressure Lowering Strategies",
      url: "https://wellally.tech/knowledge-base/chronic-disease/bp-lowering-strategies",
      category: "Chronic Disease Management",
      description: "Improve blood pressure levels through lifestyle changes"
    }
  ],
  total_found: 2
};
Step 4: Intelligent Recommendation Workflow

If user wants personalized recommendations:

4.1 Read User Health Data

// Read relevant health data
const profile = readFile('data/profile.json');
const bloodPressure = glob('data/blood-pressure/**/*.json');
const sleepRecords = glob('data/sleep/**/*.json');
const weightHistory = profile.weight_history || [];

4.2 Analyze Health Status

function analyzeHealthStatus(data) {
  const status = {
    concerns: [],
    good_patterns: []
  };

  // Analyze blood pressure
  if (data.blood_pressure?.average > 140/90) {
    status.concerns.push({
      area: "blood_pressure",
      severity: "high",
      condition: "Hypertension",
      value: data.blood_pressure.average
    });
  }

  // Analyze sleep
  if (data.sleep?.average_duration < 6) {
    status.concerns.push({
      area: "sleep",
      severity: "medium",
      condition: "Sleep Deprivation",
      value: data.sleep.average_duration + " hours"
    });
  }

  // Analyze weight trend
  if (data.weight?.trend === "increasing") {
    status.concerns.push({
      area: "weight",
      severity: "medium",
      condition: "Weight Gain",
      value: data.weight.change + " kg"
    });
  }

  // Identify good patterns
  if (data.steps?.average > 8000) {
    status.good_patterns.push({
      area: "activity",
      description: "Daily average steps over 8000",
      value: data.steps.average
    });
  }

  return status;
}

4.3 Recommend Relevant Articles

function recommendArticles(healthStatus) {
  const recommendations = [];

  for (const concern of healthStatus.concerns) {
    const articles = findArticlesForCondition(concern.condition);
    recommendations.push({
      condition: concern.condition,
      severity: concern.severity,
      articles: articles
    });
  }

  return recommendations;
}

4.4 Generate Recommendation Report

const recommendationReport = {
  generated_at: new Date().toISOString(),
  health_status: healthStatus,
  recommendations: recommendations,
  total_articles: recommendations.reduce((sum, r) => sum + r.articles.length, 0)
};

Output Format

Data Import Output

✅ Data Import Successful

Data Source: Apple Health
Import Time: 2025-01-22 14:30:00

Import Records Statistics:
━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 Step Records: 1,234 records
⚖️ Weight Records: 30 records
❤️ Heart Rate Records: 1,200 records
😴 Sleep Records: 90 records

Data Time Range: 2025-01-01 to 2025-01-22
━━━━━━━━━━━━━━━━━━━━━━━━━━

💾 Data Saved To:
• data/fitness/activities.json (steps)
• data/profile.json (weight history)
• data/fitness/heart-rate.json (heart rate)
• data/sleep/sleep-records.json (sleep)

⚠️  Validation Warnings:
• 3 step records missing timestamps, used default values
• 1 weight record abnormal (<20kg), skipped

💡 Next Steps:
• Use /health-trend to analyze imported data
• Use /wellally-tech for personalized article recommendations

Knowledge Base Query Output

📚 WellAlly Knowledge Base Search Results

Search Topic: Hypertension Management
Articles Found: 2

━━━━━━━━━━━━━━━━━━━━━━━━━━

1. Hypertension Monitoring and Management
   Category: Chronic Disease Management
   Link: https://wellally.tech/knowledge-base/chronic-disease/hypertension-monitoring
   Description: Learn how to effectively monitor and manage blood pressure

2. Blood Pressure Lowering Strategies
   Category: Chronic Disease Management
   Link: https://wellally.tech/knowledge-base/chronic-disease/bp-lowering-strategies
   Description: Improve blood pressure levels through lifestyle modifications

━━━━━━━━━━━━━━━━━━━━━━━━━━

🔗 Related Topics:
• Diabetes Management
• Cardiovascular Health
• Medication Adherence

💡 Tips:
Click links to visit [WellAlly.tech](https://www.wellally.tech/) platform for full articles

Intelligent Recommendation Output

💡 Article Recommendations Based on Your Health Data

Generated Time: 2025-01-22 14:30:00

━━━━━━━━━━━━━━━━━━━━━━━━━━

🔴 Attention Needed: Blood Pressure Management
━━━━━━━━━━━━━━━━━━━━━━━━━━
Current Status: Average blood pressure 142/92 mmHg (elevated)

Recommended Articles:
1. Hypertension Monitoring and Management
   https://wellally.tech/knowledge-base/chronic-disease/hypertension-monitoring

2. Blood Pressure Lowering Strategies
   https://wellally.tech/knowledge-base/chronic-disease/bp-lowering-strategies

3. Antihypertensive Medication Adherence Guide
   https://wellally.tech/knowledge-base/chronic-disease/medication-adherence

━━━━━━━━━━━━━━━━━━━━━━━━━━

🟡 Attention Needed: Sleep Improvement
━━━━━━━━━━━━━━━━━━━━━━━━━━
Current Status: Average sleep duration 5.8 hours (insufficient)

Recommended Articles:
1. Sleep Hygiene Basics
   https://wellally.tech/knowledge-base/sleep/sleep-hygiene

2. Improve Sleep Quality
   https://wellally.tech/knowledge-base/sleep/sleep-quality-improvement

━━━━━━━━━━━━━━━━━━━━━━━━━━

🟢 Keep Up: Daily Activity
━━━━━━━━━━━━━━━━━━━━━━━━━━
Current Status: Daily average steps 9,234 (good)

Related Reading:
1. Maintain Active Lifestyle
   https://wellally.tech/knowledge-base/fitness/active-lifestyle

━━━━━━━━━━━━━━━━━━━━━━━━━━

Summary: 5 related articles recommended
Visit [WellAlly.tech](https://www.wellally.tech/) Knowledge Base for full content

Data Sources

External Data Sources

Data SourceTypeImport MethodData Content
Apple HealthFile ImportXML/ZIP ParsingSteps, weight, heart rate, sleep, workouts
FitbitAPI/CSVOAuth2 or CSVActivities, heart rate, sleep, weight
Oura RingAPIOAuth2Sleep stages, readiness, heart rate variability
Generic CSVFile ImportField MappingCustom health data
Generic JSONFile ImportField MappingCustom health data

Local Data Files

File PathData ContentSource Mapping
data/profile.jsonProfile, weight historyApple Health, Fitbit, Oura
data/fitness/activities.jsonSteps, activity dataApple Health, Fitbit, Oura
data/fitness/heart-rate.jsonHeart rate recordsApple Health, Fitbit, Oura
data/sleep/sleep-records.jsonSleep recordsApple Health, Fitbit, Oura
data/fitness/recovery.jsonRecovery dataOura Ring (readiness)

WellAlly.tech Knowledge Base

Knowledge Base Structure

Nutrition & Diet (knowledge-base/nutrition.md)

  • Dietary management guidelines
  • Food nutrition queries
  • Diet recommendations
  • Special dietary needs

Fitness & Exercise (knowledge-base/fitness.md)

  • Exercise tracking best practices
  • Activity recommendations
  • Exercise data interpretation
  • Training plans

Sleep Health (knowledge-base/sleep.md)

  • Sleep quality analysis
  • Sleep improvement strategies
  • Sleep disorders overview
  • Sleep hygiene

Mental Health (knowledge-base/mental-health.md)

  • Stress management techniques
  • Mood tracking interpretation
  • Mental health resources
  • Mindfulness practice

Chronic Disease Management (knowledge-base/chronic-disease.md)

  • Hypertension monitoring
  • Diabetes management
  • COPD care
  • Medication adherence

Article Recommendation Mapping

const articleMapping = {
  "Hypertension": [
    "chronic-disease/hypertension-monitoring",
    "chronic-disease/bp-lowering-strategies"
  ],
  "Diabetes": [
    "chronic-disease/diabetes-management",
    "nutrition/diabetic-diet"
  ],
  "Sleep Deprivation": [
    "sleep/sleep-hygiene",
    "sleep/sleep-quality-improvement"
  ],
  "Weight Gain": [
    "nutrition/healthy-diet",
    "nutrition/calorie-management"
  ],
  "High Stress": [
    "mental-health/stress-management",
    "mental-health/mindfulness"
  ]
};

Integration Guides

Apple Health Import

Export Steps:

  1. Open "Health" app on iPhone
  2. Tap profile icon in top right corner
  3. Scroll to bottom, tap "Export All Health Data"
  4. Wait for export to complete and choose sharing method
  5. Save the exported ZIP file

Import Steps:

python scripts/import_apple_health.py ~/Downloads/apple_health_export.zip

Fitbit Integration

API Integration:

  1. Create app on Fitbit Developer Platform
  2. Get CLIENT_ID and CLIENT_SECRET
  3. Run OAuth authentication flow
  4. Store access token

Import Data:

python scripts/import_fitbit.py --api --days 30

CSV Import:

python scripts/import_fitbit.py --csv fitbit_export.csv

Oura Ring Integration

API Integration:

  1. Create app on Oura Developer Platform
  2. Get Personal Access Token
  3. Configure token in import script

Import Data:

python scripts/import_oura.py --date-range 2025-01-01 2025-01-22

Generic CSV/JSON Import

CSV Import:

python scripts/import_generic.py health_data.csv --mapping mapping_config.json

Mapping Configuration Example (mapping_config.json):

{
  "date": "Date",
  "steps": "Step Count",
  "weight": "Weight (kg)",
  "heart_rate": "Resting Heart Rate"
}

Security & Privacy

Must Follow

  • ❌ Do not upload data to external servers (except API sync)
  • ❌ Do not hardcode API credentials in code
  • ❌ Do not share user access tokens
  • ✅ All imported data stored locally only
  • ✅ OAuth credentials encrypted storage
  • ✅ Import only after explicit user authorization

Data Validation

  • ✅ Validate imported data types and ranges
  • ✅ Filter abnormal values (e.g., negative steps)
  • ✅ Preserve data source information
  • ✅ Handle timezone conversion

Error Handling

File Read Failure:

  • Output "Unable to read file, please check file path and format"
  • Provide correct file format examples
  • Suggest re-exporting data

API Call Failure:

  • Output "API call failed, please check network connection and credentials"
  • Provide OAuth re-authentication guidance
  • Fall back to CSV import method

Data Validation Failure:

  • Output "Incorrect data format, skipped invalid records"
  • Log number of skipped records
  • Continue processing valid data

Related Commands

  • /health-trend: Analyze health trends (using imported data)
  • /sleep: Record sleep data
  • /diet: Record diet data
  • /fitness: Record exercise data
  • /profile: Manage personal profile

Technical Implementation

Tool Limitations

This Skill only uses the following tools:

  • Read: Read external data files and configurations
  • Grep: Search data patterns
  • Glob: Find data files
  • Write: Save imported data to local JSON files

Python Dependencies

Python packages potentially needed for import scripts:

# Apple Health
import xml.etree.ElementTree as ET
import zipfile

# Fitbit/Oura
import requests

# Generic Import
import csv
import json

Performance Optimization

  • Incremental reading: Only import data within specified time range
  • Data deduplication: Avoid importing duplicate data for same day
  • Batch writing: Save data in batches for better performance
  • Error recovery: Support resume from breakpoint

Usage Examples

Example 1: Import Apple Health Data

User: "Import fitness tracker data from Apple Health" Output: Execute import workflow, generate import report

Example 2: Query Knowledge Base

User: "WellAlly platform articles about sleep" Output: Return sleep-related knowledge base article links

Example 3: Get Personalized Recommendations

User: "Recommend articles based on my health data" Output: Analyze health data, recommend relevant articles

Example 4: Import Generic CSV

User: "Import this CSV health data file health.csv" Output: Parse CSV, map fields, save to local

Extensibility

Adding New Data Sources

  1. Create new integration guide in integrations/ directory
  2. Create new import script in scripts/ directory
  3. Update data-sources.md documentation
  4. Add usage instructions in SKILL.md

Adding New Knowledge Base Categories

  1. Create new category file in knowledge-base/ directory
  2. Add related article links
  3. Update knowledge-base/index.md
  4. Update article recommendation mapping

Reference Resources

FAQ

Q: Will imported data overwrite existing data? A: No. Imported data will be appended to existing data, not overwritten. Duplicate data will be automatically deduplicated.

Q: Can I import data from multiple platforms? A: Yes. You can import data from Apple Health, Fitbit, Oura, and other platforms simultaneously, the system will merge all data.

Q: Are WellAlly.tech knowledge base articles offline? A: No. Knowledge base articles are referenced via URLs, requiring network connection to access the WellAlly.tech platform.

Q: Where are API credentials stored? A: API credentials are encrypted and stored in local configuration files, not uploaded to any server.

平台分布

Claude Code

29.6%
按下载量换算106

Codex

25.35%
按下载量换算91

Antigravity

17.82%
按下载量换算64

windsurf

12.13%
按下载量换算44

OpenCode

8.64%
按下载量换算31

Gemini CLI

3.81%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

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