# skills

> skills — pathorsai-skills. Use this tool when you need to build conversational AI agents quickly, leveraging MCP skills to create interactive interfaces on Pathors. It solves problems of rapid development and deployment of AI-powered chatbots, requiring minimal input such as git repository access. Ideal for use cases where speedy creation of conversational AI models is necessary, with output being a functional AI agent.

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

## Description

MCP skills for building conversational AI agents on Pathors in a minute

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/pathorsAI/skills)

## 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": "pathorsai-skills"
    }
  }
}
```

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