# Agentic-AI

> Agentic-AI — itzuditsharma-agentic-ai. Use this tool when you need to develop and manage Agentic AI models using various frameworks, solving problems related to autonomous decision-making and complex system interactions. It provides an interface for coding and version control through git, accepting AI model specifications as input and outputting functional Agentic AI systems. Ideal for use cases requiring adaptive and dynamic AI solutions, such as robotics, game development, and smart environments.

Canonical page: https://skillsregistry.net/skills/itzuditsharma-agentic-ai  
JSON: https://api.skillsregistry.net/v1/skills/itzuditsharma-agentic-ai

## Description

Codes related to Agentic AI using various Agentic AI frameworks

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/itzuditsharma/Agentic-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": "itzuditsharma-agentic-ai"
    }
  }
}
```

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