# perplex

> perplex — jcmrs-perplex. Use this tool when you need to streamline collaboration between AI models and development tools, solving problems of fragmented workflows and inefficient knowledge sharing. It integrates with git, allowing for seamless version control and research capabilities. Ideal for AI-driven projects requiring cohesive development and research interfaces.

Canonical page: https://skillsregistry.net/skills/jcmrs-perplex  
JSON: https://api.skillsregistry.net/v1/skills/jcmrs-perplex

## Description

An AI-first project exploring seamless collaboration between Claude Code, Gemini CLI, and Perplexity AI's research capabilities

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/jcmrs/perplex)

## 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": "jcmrs-perplex"
    }
  }
}
```

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

---
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