# conversational-ai

> conversational-ai — mukeshmk-conversational-ai. Use this tool when you need to generate human-like text responses or engage in natural language conversations, solving problems such as automating customer support or creating interactive chatbots. It takes in user input or prompts and outputs relevant and context-specific responses. Ideal for use cases where user interaction and personalized communication are required, such as virtual assistants or language translation services.

Canonical page: https://skillsregistry.net/skills/mukeshmk-conversational-ai  
JSON: https://api.skillsregistry.net/v1/skills/mukeshmk-conversational-ai

## Description

Conversational AI

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/mukeshmk/conversational-ai)

## 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": "mukeshmk-conversational-ai"
    }
  }
}
```

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