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/cloudflare-workers-multi-lang

Multi-language Workers development with Rust, Python, and WebAssembly. Use when building Workers in languages other than JavaScript/TypeScript, or when integrating WASM modules for performance-critical code.

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secondsky-claude-skills
219183 skills42 agents62 commands2 MCP
Install
$ npx -y skills add secondsky/claude-skills --skill cloudflare-workers-multi-lang --agent claude-code

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How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/cloudflare-workers-multi-lang

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Multi-language Workers development with Rust, Python, and WebAssembly. Use when building Workers in languages other than JavaScript/TypeScript, or when integrating WASM modules for performance-critical code.

SKILL.md

cloudflare-workers-multi-lang.SKILL.md
name: cloudflare-workers-multi-lang
description: Multi-language Workers development with Rust, Python, and WebAssembly. Use when building Workers in languages other than JavaScript/TypeScript, or when integrating WASM modules for performance-critical code.
metadata:
  version: "1.0.0"
license: MIT

Multi-Language Workers Development

Build Cloudflare Workers using Rust, Python, or WebAssembly for performance-critical operations.

Language Comparison

| Feature | JavaScript/TS | Rust | Python | |---------|---------------|------|--------| | **Startup** | Fast | Fastest (WASM) | Moderate | | **CPU Perf** | Good | Excellent | Good | | **Memory** | Higher | Lower | Higher | | **Bundle Size** | Smaller | Medium | Larger | | **Type Safety** | Optional (TS) | Strict | Optional | | **Best For** | General apps | CPU-intensive | Data/ML |

Quick Decision

Need maximum performance? → Rust/WASM
Heavy computation (crypto, image processing)? → Rust/WASM
Data processing, ML inference? → Python
General web apps? → JavaScript/TypeScript

Top 10 Multi-Lang Errors

| Error | Language | Cause | Solution | |-------|----------|-------|----------| | `WebAssembly.instantiate() failed` | Rust | Invalid WASM | Check wasm-pack build output | | `Module parse failed: Unexpected token` | Rust | ESM/CJS mismatch | Use `--target bundler` | | `Cannot find module` | Python | Missing dep | Add to pyproject.toml | | `Out of memory` | All | Large WASM | Enable streaming instantiation | | `Exceeded CPU time limit` | All | Long computation | Chunk processing | | `wasm-bindgen version mismatch` | Rust | Dep conflict | Align versions in Cargo.toml | | `RuntimeError: unreachable` | Rust | Panic in WASM | Add proper error handling | | `TypeError: not a function` | Rust | Missing export | Add `#[wasm_bindgen]` attribute | | `Python worker startup timeout` | Python | Slow init | Minimize imports | | `SharedArrayBuffer not supported` | All | Security | Add COOP/COEP headers |

Rust Quick Start

# Install tools
cargo install wasm-pack

# Create project
cargo new --lib my-worker
cd my-worker

# Add to Cargo.toml
cat >> Cargo.toml << 'EOF'
[lib]
crate-type = ["cdylib"]

[dependencies]
wasm-bindgen = "0.2"
worker = "0.3"
console_error_panic_hook = "0.1"

[profile.release]
opt-level = "s"
lto = true
EOF
// src/lib.rs
use worker::*;

#[event(fetch)]
async fn fetch(req: Request, env: Env, _ctx: Context) -> Result<Response> {
    console_error_panic_hook::set_once();

    Router::new()
        .get("/", |_, _| Response::ok("Hello from Rust!"))
        .get("/compute", |_, _| {
            // CPU-intensive computation
            let result = heavy_computation();
            Response::ok(format!("Result: {}", result))
        })
        .run(req, env)
        .await
}

fn heavy_computation() -> u64 {
    (1..1_000_000).filter(|n| is_prime(*n)).count() as u64
}

fn is_prime(n: u64) -> bool {
    if n < 2 { return false; }
    (2..=(n as f64).sqrt() as u64).all(|i| n % i != 0)
}

Python Quick Start (Workers for Platforms)

# pyproject.toml
[project]
name = "my-worker"
version = "0.1.0"
requires-python = ">=3.12"
dependencies = []

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
# src/entry.py
from js import Response, Headers

async def on_fetch(request, env):
    url = request.url

    if "/compute" in url:
        result = heavy_computation()
        return Response.new(f"Result: {result}")

    return Response.new("Hello from Python!")

def heavy_computation():
    """CPU-intensive computation"""
    return sum(1 for n in range(2, 100000) if is_prime(n))

def is_prime(n):
    if n < 2:
        return False
    return all(n % i != 0 for i in range(2, int(n**0.5) + 1))

WASM Module Integration

// Load and use WASM module in TypeScript Worker
import wasmModule from './pkg/my_lib_bg.wasm';
import { init, process_data } from './pkg/my_lib';

let wasmInstance: WebAssembly.Instance;

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    // Initialize WASM once
    if (!wasmInstance) {
      wasmInstance = await WebAssembly.instantiate(wasmModule);
      init();
    }

    // Use WASM function
    const result = process_data(inputData);

    return Response.json({ result });
  },
};

When to Load References

| Reference | Load When | |-----------|-----------| | `references/rust-workers.md` | Building Workers with Rust/WASM | | `references/python-workers.md` | Using Python on Workers for Platforms | | `references/wasm-integration.md` | Integrating WASM modules in any Worker |

Performance Tips

1. **WASM Initialization**: Cache instance, use streaming 2. **Memory**: Use typed arrays for data transfer 3. **Bundle Size**: Enable LTO, strip debug info 4. **Cold Starts**: Keep WASM modules small 5. **Data Transfer**: Minimize JS/WASM boundary crossings

See Also

  • `workers-performance` - General optimization techniques
  • `workers-testing` - Testing multi-language Workers
  • `cloudflare-worker-base` - Basic Workers setup
Read more
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