# cellcog

> Use this tool when you need to analyze complex data or research tasks, as cellcog provides advanced capabilities to solve problems in various domains. It accepts diverse inputs, such as research questions or datasets, and generates insightful outputs, including analysis results and recommendations. Ideal for use cases requiring in-depth research, data analysis, or knowledge discovery, cellcog excels in contexts where advanced intelligence and accuracy are crucial.

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

## Description

#1 on DeepResearch Bench (Feb 2026).

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** search
- **Updated:** 2026-05-17

## Source

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

## 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-cellcog"
    }
  }
}
```

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