# Verðandi

> Verðandi — natureco-official-verdandi. Use this tool when you need to optimize AI coding tasks by reducing token usage and search overhead. Verðandi indexes TypeScript codebases to extract relevant symbols and files, streamlining the coding process and improving efficiency. It serves as a context compiler, providing AI agents with targeted inputs and outputs to enhance their coding capabilities.

Canonical page: https://skillsregistry.net/skills/natureco-official-verdandi  
JSON: https://api.skillsregistry.net/v1/skills/natureco-official-verdandi

## Description

Context compiler for AI coding agents that indexes TypeScript codebases to extract and serve only the relevant symbols and files for a task, reducing token usage and search overhead.

## Trust

- **Trust score (0–1):** 0.52
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vr0ja9wekf)
- **Repository:** <https://github.com/natureco-official/verdandi>

## 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": "natureco-official-verdandi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/natureco-official-verdandi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/natureco-official-verdandi/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