# kioku

> kioku — megaphone-tokyo-kioku. Use this tool when you need to automatically accumulate and organize Claude Code sessions into a knowledge base. It solves the problem of manual note-taking and data fragmentation by seamlessly integrating with Obsidian Wiki. The kioku tool takes Claude Code sessions as input and outputs a structured and easily accessible knowledge repository, making it ideal for users who want to track and build upon their coding progress over time.

Canonical page: https://skillsregistry.net/skills/megaphone-tokyo-kioku  
JSON: https://api.skillsregistry.net/v1/skills/megaphone-tokyo-kioku

## Description

Memory for Claude Code — auto-accumulate sessions into an Obsidian Wiki

## Trust

- **Trust score (0–1):** 0.57
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/megaphone-tokyo/kioku)

## 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": "megaphone-tokyo-kioku"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/megaphone-tokyo-kioku` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/megaphone-tokyo-kioku/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