# Nia

> Use this tool when you need to provide deep architectural understanding and context to AI agents, enabling them to better comprehend your codebase through semantic search and multi-modal access. It solves problems related to codebase navigation, knowledge retrieval, and agent contextualization. Ideal for use cases where agents require comprehensive code understanding, Nia accepts codebase data as input and outputs actionable insights and context for agent decision-making.

Canonical page: https://skillsregistry.net/skills/trynia  
JSON: https://api.skillsregistry.net/v1/skills/trynia

## Description

Agents for your codebase. Nia provides deep architectural understanding, semantic search, and multi-modal access to help you provide additional context to any agent.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/trynia)

## 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": "trynia"
    }
  }
}
```

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