# ia-na-pratica

> ia-na-pratica — code4delphi-ia-na-pratica. Use this tool when you need to implement and integrate various AI technologies, such as Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and Multimodal processing, to solve complex problems like text and speech processing, and function calling. It provides a comprehensive interface for multiple AI functionalities, accepting inputs like text, speech, and code, and generating outputs like responses, actions, and transformed data. Ideal for use cases requiring advanced AI capabilities, such as chatbots, virtual assistants, and automated workflows.

Canonical page: https://skillsregistry.net/skills/code4delphi-ia-na-pratica  
JSON: https://api.skillsregistry.net/v1/skills/code4delphi-ia-na-pratica

## Description

IA na Prática: LLM, RAG, MCP, Agents, Function Calling, Multimodal, TTS/STT e mais

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-25

## Source

- **Source listing:** [GitHub](https://github.com/Code4Delphi/ia-na-pratica)

## 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": "code4delphi-ia-na-pratica"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/code4delphi-ia-na-pratica` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/code4delphi-ia-na-pratica/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