A specialized document management skill for interacting with Paperless-ngx to search, upload, and organize digital archives via API.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install paperless-docs
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 paperless-docs using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Paperless-ngx skill is a comprehensive integration designed to bridge the gap between your local environment and your Paperless-ngx document server. It leverages the REST API to provide deep control over your digital archive, allowing for seamless document ingestion and retrieval. By utilizing Openclaw Skills, users can transform their document workflows into automated pipelines that handle everything from OCR text extraction to complex metadata tagging.
This skill is particularly valuable for developers and power users who need to programmatically manage large volumes of files. It supports full-text search capabilities and provides structured access to correspondents, tags, and document types, ensuring that your self-hosted document management system remains organized and accessible without needing to rely solely on the web interface.
To get started with this skill in your Openclaw Skills environment, configure your credentials in ~/.clawdbot/clawdbot.json:
{
"env": {
"PAPERLESS_URL": "http://your-paperless-host:8000",
"PAPERLESS_TOKEN": "your-api-token"
}
}
Alternatively, you can define the skill-specific entry:
{
"skills": {
"entries": {
"paperless-ngx": {
"env": { "PAPERLESS_URL": "http://your-paperless-host:8000" },
"apiKey": "your-api-token"
}
}
}
}
The skill interacts with several core entities within the Paperless-ngx ecosystem, returning data in structured formats for easy integration.
| Entity | Key Attributes |
|---|---|
| Document | ID, Title, Content (OCR text), Created Date, Tags, Document Type, Correspondent |
| Tag | ID, Name, Slug, Color |
| Correspondent | ID, Name, Slug, Matching Algorithm |
| Document Type | ID, Name, Slug |
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