skills MCP — Use Cases, Install & Live Demo

Name: skills MCP Server
Author: aahl

Why use it

Key features

Home Assistant 智能家居控制
TTS: 微软 Edge 与智谱 GLM-TTS
DuckDuckGo 搜索与 DeepWiki 文档检索
加密货币行情与天气预报
Lark/飞书工作流
影视搜索、商品比价

Live Demo

What it looks like in practice

skills-skill-3.replay ▶ ready

0/0

Install

Pick your client

~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "skills-skill-3": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/aahl/skills",
        "~/.claude/skills/skills"
      ],
      "_inferred": true
    }
  }
}

Open Claude Desktop → Settings → Developer → Edit Config. Restart after saving.

~/.cursor/mcp.json · .cursor/mcp.json

{
  "mcpServers": {
    "skills-skill-3": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/aahl/skills",
        "~/.claude/skills/skills"
      ],
      "_inferred": true
    }
  }
}

Cursor uses the same mcpServers schema as Claude Desktop. Project config wins over global.

VS Code → Cline → MCP Servers → Edit

{
  "mcpServers": {
    "skills-skill-3": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/aahl/skills",
        "~/.claude/skills/skills"
      ],
      "_inferred": true
    }
  }
}

Click the MCP Servers icon in the Cline sidebar, then "Edit Configuration".

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "skills-skill-3": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/aahl/skills",
        "~/.claude/skills/skills"
      ],
      "_inferred": true
    }
  }
}

Same shape as Claude Desktop. Restart Windsurf to pick up changes.

~/.continue/config.json

{
  "mcpServers": [
    {
      "name": "skills-skill-3",
      "command": "git",
      "args": [
        "clone",
        "https://github.com/aahl/skills",
        "~/.claude/skills/skills"
      ]
    }
  ]
}

Continue uses an array of server objects rather than a map.

~/.config/zed/settings.json

{
  "context_servers": {
    "skills-skill-3": {
      "command": {
        "path": "git",
        "args": [
          "clone",
          "https://github.com/aahl/skills",
          "~/.claude/skills/skills"
        ]
      }
    }
  }
}

Add to context_servers. Zed hot-reloads on save.

claude mcp add skills-skill-3 -- git clone https://github.com/aahl/skills ~/.claude/skills/skills

One-liner. Verify with claude mcp list. Remove with claude mcp remove.

Use Cases

Real-world ways to use skills

How to automate a smart-home routine via Home Assistant

👤 Home Assistant users wanting voice-free automation via Claude ⏱ ~20 min intermediate

When to use: You want to chain actions (lights + AC + music) with conditional logic.

Prerequisites

Skill installed — git clone https://github.com/aahl/skills ~/.claude/skills/aahl-skills
Home Assistant URL + long-lived token — HA user profile → create token; export HA_URL, HA_TOKEN

Flow

List entities

列出所有与 'living_room' 相关的 Home Assistant entities。✓ Copied

→ Entity list with current states
Define routine

我晚上 7 点到家。灯调至 60%、空调打开到 26°C、播放轻音乐。✓ Copied

→ Sequenced service calls with expected outcome
Execute

执行这个 routine，按步骤 echo 服务调用后再执行。✓ Copied

→ Per-step confirmation + resulting state

Outcome: A working chained automation without hand-writing HA YAML.

Pitfalls

Wrong entity selected (similar names) — Require the skill to confirm entity_id before executing service call

Generate voice notes from markdown

👤 Content creators producing audio versions ⏱ ~10 min beginner

When to use: You have a blog post and want a quick audio version for WeChat or podcast RSS.

Flow

Pick voice

用 Edge TTS 的 zh-CN-XiaoxiaoNeural 把 post.md 合成 mp3。✓ Copied

→ Audio file produced
Upgrade for emotion

改用 GLM-TTS，声音要更自然有起伏。✓ Copied

→ Alternate audio with different voice

Outcome: An audio version of your post ready to publish.

Post a daily digest to Lark/Feishu

👤 Team leads running Lark-based teams ⏱ ~25 min intermediate

When to use: Each morning you want an automated team digest.

Prerequisites

Lark app with message-send permission — feishu.cn open platform → app → bot → add to group

Flow

Compose

今天的要闻：天气、加密货币BTC/ETH价格、团队昨日 GitHub PR 摘要。✓ Copied

→ Composed message
Send

发送到 '开发组' 群。✓ Copied

→ Success ack from Lark API

Outcome: A daily digest landing in Lark without manual copy-paste.

Compare prices before buying

👤 Shoppers on Chinese e-commerce platforms ⏱ ~5 min beginner

When to use: Before clicking buy on a product across 淘宝/京东/拼多多.

Flow

Query

比价 'iPhone 15 Pro 256GB' 在主要平台，附链接。✓ Copied

→ Platform-by-platform price + URL

Outcome: A price comparison with direct links.

Pitfalls

Cached / stale prices — Skill should fetch live; verify with a click-through

Combinations

Pair with other MCPs for X10 leverage

skills-skill-3 + github

Pull GitHub PR data then use AAHL skills to post a digest to Lark/Feishu

Use GitHub MCP to list this week's merged PRs in our org, then use AAHL's Lark skill to post a summary to the dev group.✓ Copied

skills-skill-3 + filesystem

Read a local markdown file and convert it to audio with AAHL's TTS skill

Read ~/blog/latest-post.md, then use AAHL's Edge TTS to generate a Chinese audio version.✓ Copied

Tools

What this MCP exposes

Tool	Inputs	When to call	Cost
Home Assistant control	-	Smart-home actions	HA API (local)
TTS (Edge / GLM)	text, voice	Voice content	Edge free / GLM paid
DuckDuckGo search	query	Web lookups	0
DeepWiki docs	query	Reference lookups	0
Crypto + weather	symbol or location	Daily digests	0
Lark/Feishu messaging	group, text	Team ops	Lark API free
Movie + price search	query	Daily life	0

Cost & Limits

What this costs to run

API quota: Free for most; GLM-TTS and some search APIs bring-your-own-key
Tokens per call: Low per tool call
Monetary: Mostly free
Tip: Use Edge TTS (free) unless you need GLM's emotion.

Security

Permissions, secrets, blast radius

Credential storage: Various: HA_TOKEN, GLM API key, Lark app credentials — all in env

Data egress: Home Assistant (local LAN), Edge TTS (Microsoft), GLM (Zhipu), Lark (Feishu), DuckDuckGo

Home Assistant long-lived tokens grant full control of your house. Scope to a user with limited entities if possible.
Lark app permissions should be scoped to the minimum channels needed.

Troubleshooting

Common errors and fixes

Home Assistant 401

Token expired or URL wrong (check http vs https, port 8123)

Verify: curl -H "Authorization: Bearer $HA_TOKEN" $HA_URL/api/

Lark send fails

Bot not added to target group, or tenant_access_token expired. Re-issue.

Edge TTS silent on Linux

Install ffmpeg; Edge TTS depends on it for mp3 output

Verify: ffmpeg -version

Alternatives

skills vs others

Alternative	When to use it instead	Tradeoff
Home Assistant MCP	You want MCP semantics rather than skill prompts	Different integration shape

More

Resources

📖 Read the official README on GitHub

🐙 Browse open issues

🔍 Browse all 400+ MCP servers and Skills