# llm-file-operations-agent

> Use this tool when you need to perform complex file operations and analysis using natural language inputs, enabling create, read, update, and delete actions on files and directories. It solves problems related to file management, organization, and intelligent analysis, providing outputs such as file contents, directory structures, and analytical insights. Ideal for use cases where multi-step reasoning and directory management are required, it accepts natural language commands as inputs and generates relevant outputs to facilitate efficient file operations.

Canonical page: https://skillsregistry.net/skills/andreabcontarini-file-operations-agent  
JSON: https://api.skillsregistry.net/v1/skills/andreabcontarini-file-operations-agent

## Description

Enables natural language file operations and intelligent file analysis via MCP, supporting CRUD actions and multi-step reasoning for directory management.

## Trust

- **Trust score (0–1):** 0.54
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fhnqmn0g44)
- **Repository:** <https://github.com/AndreaBContarini/File_Operations_Agent>

## 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": "andreabcontarini-file-operations-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/andreabcontarini-file-operations-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/andreabcontarini-file-operations-agent/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