Can I use this skill to upload documents for RAG?

Yes, the skill includes tools for managing Knowledge Folders, allowing you to upload, update, and list files (PDF, TXT, MD, etc.) for use in retrieval-augmented generation.

What is the Langdock API Operations skill?

It is a specialized Claude Code skill that provides tools and commands to interact with the Langdock platform API, covering assistant management, file uploads, and data exports.

What types of usage data can I export?

You can export detailed reports for users, assistants, workflows, projects, and specific model usage, including the ability to specify timeframes and timezones.

Does it support structured output from LLMs?

Yes, the skill provides patterns for requesting structured JSON responses using the json_schema output type during chat completions.

How do I authenticate with Langdock using this skill?

You must set the LANGDOCK_API_KEY environment variable. You can obtain this key from your Langdock Dashboard under Settings > API Keys.

Langdock API Operations

Name: Langdock API Operations
Author: mberto10

bymberto10

API Development

Manage Langdock assistants, knowledge folders, and usage analytics through specialized API integrations and CLI tools.

About

This skill enables developers to programmatically interact with the Langdock platform, providing comprehensive tools for managing AI assistants, automating knowledge folder operations, and extracting detailed usage analytics. It supports the creation of both persistent and temporary agents, multi-turn chat completions, and structured JSON output. By streamlining file uploads and search capabilities within knowledge bases, it simplifies the development of RAG-based applications and workspace management workflows directly from the Claude Code environment.

Key Features

Comprehensive usage data export for agents, workflows, projects, and models
Structured JSON output support via schema-defined API completions
CLI-based tools for rapid interaction with Langdock's REST API services
Programmatic creation and lifecycle management of persistent and temporary assistants
0 GitHub stars
Automated file uploads, updates, and searches within Langdock Knowledge Folders

Use Cases

Building custom agentic workflows that require on-the-fly assistant creation
Automating the synchronization of local documentation with Langdock knowledge bases
Generating automated workspace analytics and usage reports for resource monitoring

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add mberto10/mberto-compound langdock-api-operations

For use in Claude.ai and ChatGPT

Download Skill

GitHub