Modern infrastructure teams increasingly interact with their systems through automation and AI-assisted tooling. Terminal-native agents like Claude Code are beginning to act less like chatbots and more like operational collaborators, able to inspect environments, run commands, and help maintain infrastructure.
Today we’re releasing a new open-source tool designed for that workflow: the Backblaze B2 Cloud Storage Skill for Claude.
This GitHub repository provides a structured skill that allows Claude-based agents to safely interact with Backblaze B2 Cloud Storage through the B2 CLI. Instead of manually running storage audits, searching buckets, or reviewing lifecycle rules, you can ask an AI assistant to help perform those tasks directly in your development environment.
The result is simple and powerful: An open source natural language interface for inspecting and managing B2 Cloud Storage, built with guardrails.
What is the B2 Cloud Storage Skill for Claude?
The B2 Cloud Storage Skill for Claude is an open-source repository that enables AI-assisted management of B2 buckets using the official Backblaze B2 CLI.
The project includes three primary components:
1. A Claude Skill Definition
The skill file provides structured instructions that teach Claude how to safely interact with B2 Cloud Storage. It defines the commands the assistant can use, outlines safe operational practices, and establishes restrictions around sensitive data and destructive actions.
This allows Claude to perform storage operations while respecting operational safeguards.
2. A Storage Audit Script
The repository includes a Python script that analyzes the contents of a bucket and produces a structured report. The audit can:
- Summarize storage usage by directory prefix
- Analyze file types and extensions
- Identify files older than 90 days
- Flag objects larger than 100MB
- Detect potential duplicates based on filename
The result is a quick operational snapshot of a bucket’s structure and usage patterns—useful for cost awareness, lifecycle planning, and housekeeping.
The skill supports per-project configuration through a .claude/b2-config.json file. This allows developers to specify a default bucket, a working prefix, or a project-specific credential file.
In practice, that means different repositories or services can point to different storage buckets without changing global CLI configuration.
How to use it
The skill is designed to work in environments where Claude Code or similar agent-based developer tools can execute terminal commands.
A typical workflow looks like this:
- Install and configure the B2 CLI.
- Authorize the CLI with a B2 application key.
- Add the skill repository to your Claude environment.
- Optionally configure a project-specific bucket.
Once configured, you can ask Claude to perform storage tasks directly from your terminal.
Examples include:
- Audit the contents of this bucket.
- List files older than 90 days.
- Show the largest objects in this prefix.
- Check the bucket’s lifecycle rules.
- Find duplicate filenames across directories.
Under the hood, the assistant is running standard B2 CLI commands and the included audit script. The skill simply provides the structure that allows an AI agent to use those tools correctly.
This approach keeps the operational layer transparent: Everything ultimately resolves to normal CLI commands you can run (and double check) yourself.
Why it matters
Cloud storage environments grow quietly.
Buckets accumulate logs, backups, generated assets, and intermediate files over time. Without periodic inspection, those collections can become difficult to understand or maintain.
Historically, storage audits have been manual exercises: writing scripts, exporting listings, or running ad-hoc commands.
AI-assisted tooling changes that interaction model.
Instead of constructing queries, operators can ask for insights:
- Where is the storage concentrated?
- Which files are stale?
- Are lifecycle policies doing their job?
- Are there large objects that should be archived or removed?
The B2 Cloud Storage Skill bridges the gap between AI-assisted workflows and real storage infrastructure.
Just as importantly, the repository is designed with safety in mind. The skill restricts commands that could expose credentials, requires dry-runs before deletion operations, and warns when actions could change bucket visibility.
In other words, it treats AI as an operational assistant—not an autonomous administrator.
Open source and extensible
The repository is intentionally lightweight and open.
It’s meant to serve as both a practical tool and a starting point for developers exploring how AI agents can interact with storage infrastructure.
Possible extensions include:
- Automated lifecycle policy recommendations
- Deeper storage analytics
- Integration with monitoring pipelines
- Custom audit rules for specific workloads
If you’re experimenting with AI-assisted operations—or simply want a faster way to inspect your B2 Cloud Storage—this skill provides a practical place to start.
You can explore the repository and try it yourself here:
https://github.com/backblaze-b2-samples/claude-skill-b2-cloud-storage
