# gcloud-log-reader

> Use this tool when you need to efficiently parse and analyze Google Cloud logs, solving issues with log data management and troubleshooting. It takes log data as input and outputs parsed log information, streamlining the process of identifying and resolving errors. Ideal for use in development and testing environments where log data analysis is crucial for debugging and optimization.

Canonical page: https://skillsregistry.net/skills/satish-reddy-gcloud-log-reader  
JSON: https://api.skillsregistry.net/v1/skills/satish-reddy-gcloud-log-reader

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/satish.reddy/gcloud-log-reader)

## 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": "satish-reddy-gcloud-log-reader"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/satish-reddy-gcloud-log-reader` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/satish-reddy-gcloud-log-reader/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