# Cloudflare Workers Observability

> Use this tool when you need to monitor and debug Cloudflare Workers, inspecting application logs, analytics, and runtime behavior to identify and resolve issues. It provides visibility into worker performance, helping to optimize and troubleshoot applications. Ideal for use cases where real-time insights into worker behavior are crucial for ensuring reliability and performance.

Canonical page: https://skillsregistry.net/skills/cloudflare-workers-observability  
JSON: https://api.skillsregistry.net/v1/skills/cloudflare-workers-observability

## Description

Workers observability and debugging. Inspect application logs, analytics, and runtime behavior.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/cloudflare/workers-observability)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "cloudflare-workers-observability"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cloudflare-workers-observability` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cloudflare-workers-observability/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt