# codeglance

> codeglance — cognis-digital-codeglance. Use this tool when you need to quickly understand the architecture and key areas of a Git repository, as it provides a visual onboarding map that highlights hotspots for both humans and AI agents, streamlining the process of navigating and contributing to complex codebases. It solves the problem of repository overwhelm by offering a concise overview of the code structure and areas of interest. Ideal for use during initial repository exploration or when onboarding new team members or agents.

Canonical page: https://skillsregistry.net/skills/cognis-digital-codeglance  
JSON: https://api.skillsregistry.net/v1/skills/cognis-digital-codeglance

## Description

Repo onboarding map — architecture + hotspots for humans and agents

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/cognis-digital/codeglance)

## 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": "cognis-digital-codeglance"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-codeglance` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cognis-digital-codeglance/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