# obsidian-code-workbench

> obsidian-code-workbench — vitaly-andr-obsidian-code-workbench. Use this tool when you need to maintain and edit your Obsidian vault with advanced code editing features, such as syntax highlighting and git review. It solves problems related to link graph management, code formatting, and version control, providing a seamless editing experience for 50+ languages. Ideal for use cases requiring precise control over code changes, it accepts CLI inputs and outputs formatted code with diagnostics and diffs.

Canonical page: https://skillsregistry.net/skills/vitaly-andr-obsidian-code-workbench  
JSON: https://api.skillsregistry.net/v1/skills/vitaly-andr-obsidian-code-workbench

## Description

Code Workbench gives Claude the tools to maintain your Obsidian vault through its own link graph (link-preserving, approval-gated MCP edits over the CLI), plus a real code editor: syntax highlighting, diagnostics, formatting, Keep/Reject diffs, git review, and inline blame for 50+ languages. Runs on your Claude subscription, not a metered API key.

## Trust

- **Trust score (0–1):** 0.90
- **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/vitaly-andr/obsidian-code-workbench)

## 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": "vitaly-andr-obsidian-code-workbench"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vitaly-andr-obsidian-code-workbench` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vitaly-andr-obsidian-code-workbench/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