# WebSim Explorer

> Use this tool when you need to discover and research WebSim projects, creators, and trending content. It solves problems of content curation and creator identification through powerful search and filters, providing outputs such as project details, engagement stats, and user profiles. Ideal for use when tracking influential creators, relevant assets, and popular content is necessary.

Canonical page: https://skillsregistry.net/skills/gigachadtrey-websimm  
JSON: https://api.skillsregistry.net/v1/skills/gigachadtrey-websimm

## Description

Discover WebSim projects, creators, and trending content with powerful search and filters. Inspect project details, screenshots, comments, and engagement stats to guide research and curation. Track user profiles and activity to surface influential creators and relevant assets.

## 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:** [Smithery](https://smithery.ai/server/gigachadtrey/websimm)

## 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": "gigachadtrey-websimm"
    }
  }
}
```

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