# ckg

> ckg — mohitaswani-ckg. Use this tool when you need to navigate and understand code structure and relationships in a repository. It turns a repository into a deterministic, local-first knowledge graph, enabling coding agents to access and analyze code via MCP tools. Ideal for use cases requiring code exploration and discovery, such as development, debugging, and maintenance.

Canonical page: https://skillsregistry.net/skills/mohitaswani-ckg  
JSON: https://api.skillsregistry.net/v1/skills/mohitaswani-ckg

## Description

Turns a repository into a deterministic, local-first knowledge graph for coding agents, enabling navigation of code structure and relationships via MCP tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iuwdzwnhq4)
- **Repository:** <https://github.com/MohitAswani/ckg>

## 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": "mohitaswani-ckg"
    }
  }
}
```

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