# cogni

> cogni — pinorobotics-cogni. Use this tool when you need to automate tasks with precision and accuracy, such as assembly, manipulation, and inspection, using a robotic arm powered by AI. Cogni solves problems related to repetitive and complex tasks, enhancing efficiency and productivity in various industries. It receives input through git and outputs precise robotic movements, making it ideal for use in manufacturing, research, and development contexts.

Canonical page: https://skillsregistry.net/skills/pinorobotics-cogni  
JSON: https://api.skillsregistry.net/v1/skills/pinorobotics-cogni

## Description

Cogni – AI‑Powered Robotic Arm Assistant.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/pinorobotics/cogni)

## 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": "pinorobotics-cogni"
    }
  }
}
```

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