# sense

> sense — luuuc-sense. Use this tool when you need to analyze and understand the structure of your codebase, as it provides AI coding agents with a comprehensive view of symbol graphs, blast radius, and semantic search. It solves problems related to code navigation, refactoring, and maintenance by offering insights into coding conventions. The tool integrates with git and outputs structured data for Claude Code, Cursor, and Codex CLI.

Canonical page: https://skillsregistry.net/skills/luuuc-sense  
JSON: https://api.skillsregistry.net/v1/skills/luuuc-sense

## Description

MCP server for AI coding agents - gives Claude Code, OpenCode, Cursor, and Codex CLI structural understanding of your codebase: symbol graph, blast radius, semantic search, conventions.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/luuuc/sense)

## 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": "luuuc-sense"
    }
  }
}
```

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