A technical integration skill designed to handle single and multi-file uploads, image processing, and workflow signing for AI playground environments.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install 111jjjjk
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install 111jjjjk using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is LLM Playground File Handler?
The LLM Playground File Handler is a robust integration designed for the llm-playground-service. It provides a standardized way to manage multimedia inputs—ranging from single images to complex CSV datasets—within AI-driven workflows. By leveraging specific endpoints for file signing and uploading, this skill ensures that Openclaw Skills can interact with remote file systems reliably, maintaining consistency between chat history and stored assets.
This skill is particularly valuable for developers building agentic workflows that require grounding in external documents or visual data. It handles the nuances of local debugging by requiring specific user headers and provides a clear mapping for imagePaths and filePaths, ensuring that the AI agent has the correct context for every request.
LLM Playground File Handler Use Cases
- Uploading multiple diagnostic images or screenshots for AI analysis in a debugging workflow.
- Processing large CSV or TXT datasets to provide context for Large Language Models.
- Signing file URLs to ensure secure and authorized access during automated AI processing tasks.
- Integrating local development environments with remote LLM storage services using Openclaw Skills.
How LLM Playground File Handler Works
- The user initiates a request containing either a single file/image or an array of file/image paths.
- For local debugging, the skill injects a currentuser parameter into the request header for authentication.
- Files are sent to designated upload endpoints (uploadImg or uploadFile) where they receive a unique UUID-based storage path.
- The skill generates a signed URL or reference path that is then passed into the workflow input (BOT_USER_FILE).
- The LLM processes the input based on the provided file content and returns a structured response.
LLM Playground File Handler Setup
To configure the file handling service within your environment, ensure the following spring application name is set and use the provided endpoints:
# Application Identification
spring.application.name=llm-playground-service
# Local Debugging Header
# Add 'currentuser' to your request headers
# Example Image Upload Command
curl -X POST http://188.103.147.179:30181/largemodel/llmstudio/fs/uploadImg -F "file=@your_image.png"
LLM Playground File Handler Data Schema & Taxonomy
The skill utilizes a structured JSON schema to differentiate between different media types and quantities:
| Parameter | Type | Description |
|---|---|---|
| imagePath | String | Path for a single image upload |
| imagePaths | Array | Collection of multiple image storage paths |
| filePath | String | Path for a single document (TXT, CSV, etc.) |
| filePaths | Array | Collection of multiple document storage paths |
| BOT_USER_FILE | String | The primary file reference used in workflow logic |
LLM Playground File Handler Advanced Features
- Multi-Path Support: Concurrent handling of imagePaths and filePaths within a single request context.
- Workflow Signing: Integration with sign_file_url endpoints to maintain secure file lifecycles.
- Canvas Compatibility: Supports both DRAFT and PRIVATE_RELEASE canvas types for flexible workflow deployment.
- Debug Mode Integration: Enhanced logging and header management for local testing using Openclaw Skills.
SKILL.md
Loading
Related Openclaw Skills
OpenClaw Doctor
A comprehensive diagnostic tool for one-click health monitoring of OpenClaw system configurations, models, and automated workflows.
AI News Skill
An intelligent news aggregator that fetches and summarizes the latest AI industry developments and model releases from curated RSS sources.
Shenzhen News
A specialized news retrieval skill providing deep access to Shenzhen local policy, technology, and business updates.
TestCase Generator
An LLM-driven testing system that generates over 20 detailed test cases by analyzing service code and live database data.
RudderStack HTTP
An event stream integration that enables developers to collect, transform, and route customer data effortlessly using the Membrane framework.
SQL Optimization Patterns
A comprehensive guide to transforming slow database queries into high-performance operations through systematic indexing and execution plan analysis.
Featured*
