# Nanostores

> Use this tool when you need to analyze and debug state management in JavaScript projects using the Nanostores library. It solves problems related to static analysis, runtime monitoring, and documentation search, providing insights through AST-based project scanning, dependency graphs, and live event capture. Ideal for use in React, Vue, Svelte, and Angular projects, it offers a range of inputs including project code and logger outputs, and generates outputs such as store inspections and dependency visualizations.

Canonical page: https://skillsregistry.net/skills/valyay-nanostores  
JSON: https://api.skillsregistry.net/v1/skills/valyay-nanostores

## Description

Nanostores provides AI assistants with static analysis, runtime monitoring, and documentation search capabilities for projects using the Nanostores state management library. Offers AST-based project scanning, dependency graphs, store inspection, and live event capture via the Nanostores logger integration across React, Vue, Svelte, and Angular projects.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/valyay-nanostores)
- **Repository:** <https://github.com/valyay/nanostores-mcp>

## 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": "valyay-nanostores"
    }
  }
}
```

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