Agent skill

ftpc-storage

Read files from remote storage backends (local, FTP, SFTP, S3, Azure). List directories, download files, inspect metadata. Use for reading data from cloud storage, FTP servers, or remote filesystems without making changes.

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/ftpc-storage

SKILL.md

FTPC Storage (Read-Only)

Use the ftpc library to read files from various storage backends.

Supported Backends

Protocol URL Format Example
Local file:///path or /path /home/user/data
FTP ftp://[user:pass@]host[:port]/path ftp://ftp.example.com/pub
FTPS ftps://[user:pass@]host[:port]/path ftps://secure.example.com
SFTP sftp://[user:pass@]host[:port]/path sftp://user:pass@host/data
S3 s3://bucket/path s3://my-bucket/folder
Azure Data Lake azure://account.dfs.core.windows.net/fs/path azure://myacct.dfs.core.windows.net/data
Azure Blob blob://account.blob.core.windows.net/container/path blob://myacct.blob.core.windows.net/files

Quick Start

python
from ftpc import connect_sync

# Connect using URL and list files
with connect_sync("s3://my-bucket") as store:
    files = store.list("/")
    for f in files:
        print(f"{f.name}  {'DIR' if f.is_directory else f.size}")

Available Operations

List Directory

python
from ftpc import connect_sync

with connect_sync("ftp://ftp.example.com") as store:
    # List root (base path from URL)
    files = store.list()

    # List specific path
    files = store.list("/documents")

    # Each file is a FileDescriptor with:
    # - name: str (filename only)
    # - path: PurePath (full path)
    # - is_file: bool
    # - is_directory: bool
    # - size: Optional[int] (bytes, None for directories)
    # - modified_time: Optional[datetime]

Download File

python
from ftpc import connect_sync

with connect_sync("sftp://user:pass@host") as store:
    # Download to local path
    store.download("/remote/file.csv", "local_file.csv")

    # With progress tracking
    def progress(bytes_done: int) -> bool:
        print(f"Downloaded {bytes_done} bytes")
        return True  # Return False to cancel

    store.download("/large_file.zip", "output.zip", progress)

Using Named Remotes from Config

If ~/.ftpcconf.toml exists with configured remotes:

toml
# ~/.ftpcconf.toml
[my-s3]
type = "s3"
bucket = "my-bucket"
region = "us-east-1"

[work-ftp]
type = "ftp"
url = "ftp.company.com"
username = "user"
password = "secret"

Load config and create client:

python
from ftpc.config import Config
from ftpc.clients.s3client import S3Client

config = Config.from_file()  # Loads ~/.ftpcconf.toml
remote = config.remotes["my-s3"]

# Create client from config (varies by type)
with S3Client(bucket_name=remote.bucket, region_name=remote.region) as client:
    files = client.ls("/")

Async Usage

python
import asyncio
from ftpc import Storage

async def main():
    async with Storage.connect("s3://bucket") as store:
        files = await store.list("/")
        await store.download("/data.csv", "local.csv")

asyncio.run(main())

Named Constructors (Explicit Configuration)

python
from ftpc import Storage

# S3 with explicit credentials
with Storage.s3(
    bucket="my-bucket",
    region="us-east-1",
    access_key_id="AKIAIOSFODNN7EXAMPLE",
    secret_access_key="wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY"
).sync() as store:
    files = store.list("/")

# FTP with explicit config
with Storage.ftp(
    host="ftp.example.com",
    username="user",
    password="pass",
    tls=True  # Use FTPS
).sync() as store:
    store.download("/file.txt", "local.txt")

# SFTP with key file
with Storage.sftp(
    host="server.example.com",
    username="deploy",
    key_filename="/home/user/.ssh/id_rsa"
).sync() as store:
    files = store.list("/var/data")

Dependencies

Install required backends:

bash
pip install ftpc            # Core (local + FTP)
pip install ftpc[sftp]      # + SFTP (paramiko)
pip install ftpc[s3]        # + S3 (boto3)
pip install ftpc[azure]     # + Azure (azure-storage-*)
pip install ftpc[all]       # All backends

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