# Last9

> Use this tool when you need to troubleshoot and optimize production issues, as it provides context to AI agents through logs, exceptions, and service graphs, enabling them to offer fixes and recommendations for improved logging and instrumentation. It solves problems related to production debugging and optimization, accepting inputs such as error reports and system data, and outputting actionable insights and suggestions. Ideal for use in production environments where rapid issue resolution and optimization are critical.

Canonical page: https://skillsregistry.net/skills/last9  
JSON: https://api.skillsregistry.net/v1/skills/last9

## Description

Use tools like `get_exceptions`, `get_logs`, `get_service_graph`, and more to give prod context to the IDE AI agent to fix issues and get recommendations to optimize logging and instrumentation.

## 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:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/last9)

## 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": "last9"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/last9` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/last9/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