# fastio-skills

> Use this tool when you need to efficiently manage and share cloud files, collaborate with others, and streamline file-based workflows. It solves problems related to file access, sharing, and version control, making it ideal for team projects and remote work. With inputs such as file uploads and user permissions, and outputs like shared links and collaboration invites, it provides a seamless interface for cloud file management.

Canonical page: https://skillsregistry.net/skills/dbalve-fastio-skills  
JSON: https://api.skillsregistry.net/v1/skills/dbalve-fastio-skills

## Description

Cloud file management and collaboration platform.

## 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:** file-system
- **Updated:** 2026-05-22

## Source

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

## 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": "dbalve-fastio-skills"
    }
  }
}
```

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