# Agentic-Architecture-EAG-Session6-Assignment

> Agentic-Architecture-EAG-Session6-Assignment — sushant097-agentic-architecture-eag-session6-assignment. Use this tool when you need to streamline multi-step stock research with a robust AI-powered backend. It solves problems related to inefficient research workflows and provides verified prompt reasoning through its cognitive 4-layer architecture. With inputs from Gemini and outputs via FastAPI, it integrates seamlessly with git for version control and collaborative development.

Canonical page: https://skillsregistry.net/skills/sushant097-agentic-architecture-eag-session6-assignment  
JSON: https://api.skillsregistry.net/v1/skills/sushant097-agentic-architecture-eag-session6-assignment

## Description

Agentic AI Chrome backend for multi-step stock research — powered by Gemini, FastAPI, and MCP tools with verified prompt reasoning and cognitive 4-layer architecture.

## 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/sushant097/Agentic-Architecture-EAG-Session6-Assignment)

## 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": "sushant097-agentic-architecture-eag-session6-assignment"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sushant097-agentic-architecture-eag-session6-assignment` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sushant097-agentic-architecture-eag-session6-assignment/pull`

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