A specialized automation tool to automatically organize loose files and images in your Obsidian vault root into a dedicated attachments directory.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install obsidian-cleaner
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install obsidian-cleaner using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Obsidian Attachment Cleaner is a utility designed to solve the common messy vault root problem in Obsidian. As you paste images or download files into your notes, they often land in the root directory by default. This Openclaw Skills tool scans your vault root for specific file types—including images, PDFs, and documents—and moves them into a structured directory.
By automating this cleanup process, users can maintain a clean file structure without manual effort. The skill is built with safety in mind, ensuring no files are deleted and no existing files are overwritten, making it an essential addition to any power user's Openclaw Skills collection.
To get started with this skill, ensure you have Python installed and access to your Obsidian vault path.
# Run the cleaner using default paths
python obsidian_cleaner.py
# Perform a dry run to see what would happen
python obsidian_cleaner.py --dry-run
# Specify a custom vault and attachment folder path
python obsidian_cleaner.py --vault /path/to/vault --attachments "Media"
The skill operates directly on the filesystem of your Obsidian vault. It recognizes specific file extensions and organizes them into the metadata structure below:
| Data Type | Supported Extensions |
|---|---|
| Images | .png, .jpg, .jpeg, .gif, .webp |
| Documents | .pdf, .docx |
Files are moved from the vault root to the specified attachments folder (default: Attachments/).
Loading
An advanced Proxmox-native orchestration skill designed to transform hardware infrastructure into a self-healing, decentralized AI agent swarm.

A high-performance Rust framework for building cross-platform user interfaces with a React-like mental model and native speed.

A strategic framework within the Openclaw Skills ecosystem for analyzing and designing incentive-compatible crypto protocols and tokenomic systems.

A comprehensive Solana development guide and AI agent skill for building stateless programs using the Anchor framework.

A technical workflow for migrating local OpenClaw sub-agents to a remote VPS environment while maintaining configuration integrity and service continuity.

A lightweight security scanner designed to detect high-risk patterns and policy violations in code and scripts before execution.








































