# kiokuko

> kiokuko — askdkc-kiokuko. Use this tool when you need to augment AI coding agents with external memory to store and retrieve code snippets, facilitating more efficient and accurate coding capabilities. Kiokuko solves problems related to code memorization and reuse, allowing agents to learn from and build upon existing codebases. It integrates with git, accepting code repositories as input and generating reusable code snippets as output.

Canonical page: https://skillsregistry.net/skills/askdkc-kiokuko  
JSON: https://api.skillsregistry.net/v1/skills/askdkc-kiokuko

## Description

Kiokuko(記憶庫) is model-agnostic external memory for AI coding agents.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/askdkc/kiokuko)

## 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": "askdkc-kiokuko"
    }
  }
}
```

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