# veyra-notes

> veyra-notes — aquariosan-veyra-notes. Use this tool when you need to manage and track notes or knowledge bases for AI agents, solving problems of data organization and version control. It allows for free reading and writing with Veyra commit mode, providing a git-based interface for input and output. Ideal for use cases requiring collaborative note-taking, knowledge management, and change tracking in AI development contexts.

Canonical page: https://skillsregistry.net/skills/aquariosan-veyra-notes  
JSON: https://api.skillsregistry.net/v1/skills/aquariosan-veyra-notes

## Description

Note-taking for AI agents. Read freely, write with Veyra commit mode.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/Aquariosan/veyra-notes)

## 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": "aquariosan-veyra-notes"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aquariosan-veyra-notes` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aquariosan-veyra-notes/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