# Information-Flow-AI-Agent

> Information-Flow-AI-Agent — zareeb3-information-flow-ai-agent. Use this tool when you need to generate comprehensive reports and email drafts based on web searches, and automate the process of summarizing complex information into structured outputs. It solves problems of information overload and manual report generation, providing a streamlined interface through Gradio. Ideal for use cases requiring web research, data summarization, and automated email drafting, with inputs including user queries and outputs including detailed reports and email drafts.

Canonical page: https://skillsregistry.net/skills/zareeb3-information-flow-ai-agent  
JSON: https://api.skillsregistry.net/v1/skills/zareeb3-information-flow-ai-agent

## Description

This agent inputs query from user, searches on the web, generates comprehensive report, summarizes and presents an email draft all with Gradio Interface. 🧠 OpenAI + fallback LLM  🌐 Serper API (MCP). ✅ LangGraph → orchestrating all nodes in correct order ✅ Email/report generator → outputting a structured summary

## Trust

- **Trust score (0–1):** 0.85
- **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/Zareeb3/Information-Flow-AI-Agent)

## 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": "zareeb3-information-flow-ai-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zareeb3-information-flow-ai-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zareeb3-information-flow-ai-agent/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