# LangGraph-deep-research

> LangGraph-deep-research — mansurpro-langgraph-deep-research. Use this tool when you need to analyze emerging competitor brands and understand consumer preferences. It identifies challenger brands competing with established products and provides insights into their appeal, solving market research and competitive analysis problems. The tool takes market data as input and outputs detailed reports on competitor brands and consumer preferences.

Canonical page: https://skillsregistry.net/skills/mansurpro-langgraph-deep-research  
JSON: https://api.skillsregistry.net/v1/skills/mansurpro-langgraph-deep-research

## Description

Multi-agent LangGraph deep research workflow that identifies emerging challenger brands competing with P&G products and explains why consumers like them.

## 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:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/MansurPro/LangGraph-deep-research)

## 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": "mansurpro-langgraph-deep-research"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mansurpro-langgraph-deep-research` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mansurpro-langgraph-deep-research/pull`

---
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