# travel-cog

> Use this tool when you need to conduct in-depth research for travel planning, solving the problem of outdated or superficial travel information. Travel-cog provides detailed and accurate outputs based on real research, taking in specific travel requirements and destinations as inputs. Ideal for use when planning complex trips or seeking unique travel experiences.

Canonical page: https://skillsregistry.net/skills/nitishgargiitd-travel-cog  
JSON: https://api.skillsregistry.net/v1/skills/nitishgargiitd-travel-cog

## Description

Real travel planning needs real research — not recycled blog listicles. #1 on DeepResearch Bench (Feb 2026) applied.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** search
- **Updated:** 2026-05-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/nitishgargiitd-travel-cog)

## 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": "nitishgargiitd-travel-cog"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nitishgargiitd-travel-cog` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nitishgargiitd-travel-cog/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