# fast-io

> Use this tool when you need to efficiently manage and share cloud files, collaborate with teams, and streamline file workflows. Fast-io solves problems of file disorganization, limited access, and slow sharing, enabling seamless collaboration and productivity. It accepts file inputs and provides secure sharing links and organized file outputs, ideal for team projects, content management, and remote work.

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

## Description

Cloud file management and collaboration platform.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** file-system
- **Updated:** 2026-08-23

## Source

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

## 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-fast-io"
    }
  }
}
```

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