# CodeMemoryPrime

> CodeMemoryPrime — kichikubeihei-codememoryprime. Use this tool when you need to optimize interactions with AI assistants by storing local codebase memory, reducing the need for repetitive explanations and minimizing token costs. It solves problems of inefficient communication and high token usage by providing a centralized memory for project structures. Ideal for use with git-enabled projects that require frequent AI-assisted development.

Canonical page: https://skillsregistry.net/skills/kichikubeihei-codememoryprime  
JSON: https://api.skillsregistry.net/v1/skills/kichikubeihei-codememoryprime

## Description

Local codebase memory for AI assistants. Because re-explaining your project structure to Claude or Antigravity for the fifth time today gets old. Oh, it saves a LOT on token costs, too.

## 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/kichikubeihei/CodeMemoryPrime)

## 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": "kichikubeihei-codememoryprime"
    }
  }
}
```

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