# evoAI

> evoAI — pahulgogna-evoai. Use this tool when you need to enhance the capabilities of large language models (LLMs) with agentic abilities, enabling them to interact with external systems like git. The evoAI tool solves problems related to automating tasks and workflows by providing an interface for LLMs to execute commands and access external repositories. It takes LLM inputs and outputs executable actions, making it ideal for use cases that require automated version control and workflow management.

Canonical page: https://skillsregistry.net/skills/pahulgogna-evoai  
JSON: https://api.skillsregistry.net/v1/skills/pahulgogna-evoai

## Description

An ollama based LLM interface for providing agentic abilities to LLMs.

## Trust

- **Trust score (0–1):** 0.87
- **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/pahulgogna/evoAI)

## 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": "pahulgogna-evoai"
    }
  }
}
```

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