# CogZ

> CogZ — balaianu-cogz. Use this tool when you need to enhance AI coding agents with persistent memory and contextual understanding of your codebase. CogZ solves problems of code knowledge retention and retrieval, enabling continuous cognition and informed coding decisions. It integrates with git, accepting codebase inputs and providing contextual outputs to support efficient coding workflows.

Canonical page: https://skillsregistry.net/skills/balaianu-cogz  
JSON: https://api.skillsregistry.net/v1/skills/balaianu-cogz

## Description

Local-first, code-aware engineering cognition for AI coding agents - persistent memory, contextual retrieval, and continuous cognition about your codebase.

## Trust

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

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/balaianu/CogZ)

## 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": "balaianu-cogz"
    }
  }
}
```

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