# LLDB

> Use this tool when you need to debug and troubleshoot code, as LLDB provides a low-level interface for interacting with the debugger, allowing for efficient problem-solving and issue resolution. It takes in debugging commands and outputs detailed information about the program's state, enabling developers to identify and fix errors. Ideal for use in software development environments where precise control over debugging is required.

Canonical page: https://skillsregistry.net/skills/stass-lldb  
JSON: https://api.skillsregistry.net/v1/skills/stass-lldb

## Description

An MCP implementation for LLDB debugging interactions

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/stass-lldb)
- **Repository:** <https://github.com/stass/lldb-mcp>

## 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": "stass-lldb"
    }
  }
}
```

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