# nutri

> nutri — vryahn-nutri. Use this tool when you need to track nutrition production, as it provides a comprehensive solution for monitoring and managing nutritional data through a hybrid semantic search and AI-powered fallback chain. It solves problems related to data tracking, analysis, and management in production environments. With inputs including nutritional data and outputs such as tracked and analyzed information, use nutri in contexts where accurate and efficient nutrition production monitoring is crucial.

Canonical page: https://skillsregistry.net/skills/vryahn-nutri  
JSON: https://api.skillsregistry.net/v1/skills/vryahn-nutri

## Description

Production nutrition-tracking PWA (React, Supabase) built and operated inside Claude Code: production RAG pipeline, hybrid semantic search (pgvector), self-built remote MCP server (OAuth 2.1 + PKCE, RLS-enforced), three-model AI fallback chain, and an LLM eval harness gating every release.

## Trust

- **Trust score (0–1):** 0.78
- **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/vryahn/nutri)

## 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": "vryahn-nutri"
    }
  }
}
```

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