claude-skills MCP — Use Cases, Install & Live Demo

Why use it

Key features

Cloudflare: Workers, D1, R2, KV, Pages, Durable Objects patterns
React (RSC, Server Actions, suspense idioms)
Tailwind v4 migration + new config shape
AI integrations: OpenAI/Anthropic SDK patterns, embeddings, vector search
Opinionated defaults — biased toward simpler choices

Live Demo

What it looks like in practice

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

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

~/.cursor/mcp.json · .cursor/mcp.json

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

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

VS Code → Cline → MCP Servers → Edit

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

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

~/.codeium/windsurf/mcp_config.json

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

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

~/.continue/config.json

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

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

~/.config/zed/settings.json

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

Add to context_servers. Zed hot-reloads on save.

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

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

Use Cases

Real-world ways to use claude-skills

How to ship a Cloudflare Worker API with D1 backing

👤 Full-stack devs wanting a Worker+D1 API without boilerplate ⏱ ~45 min intermediate

When to use: You want a small JSON API with auth and persistence, deployed to Cloudflare.

Prerequisites

Skill installed — git clone https://github.com/jezweb/claude-skills ~/.claude/skills/jezweb-skills
wrangler CLI — npm i -g wrangler && wrangler login

Flow

Scaffold

Use the Cloudflare skill. New Worker with D1 binding, Hono router, routes: GET /todos, POST /todos, DELETE /todos/:id.✓ Copied

→ Worker code + wrangler.toml + schema.sql
Auth

Add bearer token auth using a secret in env.✓ Copied

→ Middleware + wrangler secret put instructions
Deploy

wrangler d1 execute + wrangler deploy steps.✓ Copied

→ Live URL after deploy

Outcome: A deployed Worker API with D1 persistence.

Pitfalls

D1 migrations drift between envs — Use wrangler d1 migrations create + apply; don't ad-hoc exec

Upgrade a Tailwind v3 project to v4

👤 Frontend devs on v3 wanting to move to v4's new engine ⏱ ~60 min intermediate

When to use: You're on tailwind@3 and want to adopt v4's Oxide engine + CSS-first config.

Flow

Audit current config

Audit tailwind.config.{js,ts} for anything that doesn't port 1:1 to v4.✓ Copied

→ Per-config-key migration notes
Generate v4 config

Produce the v4 equivalent: @theme in a CSS entry + package updates.✓ Copied

→ CSS entry + package.json diff
Fix breaking utilities

Grep the codebase for removed/renamed utility classes and produce a replace map.✓ Copied

→ Codemod suggestions

Outcome: A v4 migration PR ready for review.

Pitfalls

PostCSS pipeline conflicts with v4's native engine — Remove PostCSS plugins that v4's engine replaces

Build a lightweight RAG endpoint on Workers

👤 Devs adding AI features to a Cloudflare app ⏱ ~90 min advanced

When to use: You want RAG without standing up a vector DB service.

Flow

Set up Vectorize

Provision a Vectorize index for embeddings. Use OpenAI text-embedding-3-small.✓ Copied

→ wrangler vectorize create + binding
Ingest script

Write a Worker route /ingest that chunks + embeds + upserts.✓ Copied

→ Worker code with chunking heuristic
Query route

Write /query that embeds the question, retrieves top-k, and calls Claude/OpenAI with the context.✓ Copied

→ End-to-end route

Outcome: A small but real RAG endpoint deployed on Cloudflare.

Pitfalls

Chunks too large lose recall; too small hurt context — Start 512 tokens, overlap 64; tune based on your corpus

Combinations

Pair with other MCPs for X10 leverage

claude-skill-3 + claude-code-owasp-skill

Security-review Worker auth and RAG endpoints

After scaffolding the Worker with auth, run OWASP review on the auth middleware.✓ Copied

Tools

What this MCP exposes

Tool	Inputs	When to call	Cost
Cloudflare Worker scaffolding	-	New worker projects	Claude tokens
D1 + R2 + KV patterns	-	Persistence wiring	Claude tokens
React RSC patterns	-	RSC-era apps	Claude tokens
Tailwind v4 migration	-	v3→v4 upgrades	Claude tokens
AI integrations	-	OpenAI/Anthropic/embeddings	Claude tokens

Cost & Limits

What this costs to run

API quota: None at skill level
Tokens per call: 5-20k per task
Monetary: Free skill; Cloudflare + OpenAI/Anthropic have their own pricing
Tip: Cloudflare free tier covers small Worker APIs; watch Vectorize cost at scale.

Security

Permissions, secrets, blast radius

Credential storage: No credentials at skill level. Wrangler handles CF secrets.

Data egress: Deploys go to Cloudflare; any AI calls go to the configured provider

Wrangler auth has full account access. Use scoped API tokens for CI, not wrangler login.

Troubleshooting

Common errors and fixes

wrangler deploy fails on route

Route patterns require the zone to be in your CF account; check routes vs. workers.dev fallback

Verify: wrangler deployments list

D1 migrations apply locally but not remote

Run wrangler d1 migrations apply <DB> --remote explicitly

Alternatives

claude-skills vs others

Alternative	When to use it instead	Tradeoff
Vercel + Next.js template	You prefer Vercel's DX	Different pricing and platform capabilities

More

Resources

📖 Read the official README on GitHub

🐙 Browse open issues

🔍 Browse all 400+ MCP servers and Skills