⚙️ Daggr
This skill helps you design and deploy visual DAG-based AI pipelines by connecting Gradio Spaces, HuggingFace models, and Python functions.
npx playbooks add skill gradio-app/daggr --skill daggr
About Daggr
Daggr is an automation tool that enables the design and deployment of visual directed acyclic graph-based AI pipelines. It connects Gradio Spaces, HuggingFace models, and Python functions to facilitate the creation of these pipelines. Developers would use Daggr when they need to automate and visualize their AI workflows, particularly when working with Gradio and HuggingFace components.
Its 20-word system prompt specializes your agent in automation & integrations with structured methodology and proven output formats. Install with one command to activate immediately.
Use Cases
- Building MCP servers and workflow integrations
- Automating repetitive dev tasks with scripts
- Setting up webhook handlers and event pipelines
- Connecting external APIs to AI agent workflows
Example Prompts
System Prompt (20 words)
This skill helps you design and deploy visual DAG-based AI pipelines by connecting Gradio Spaces, HuggingFace models, and Python functions.
Frequently Asked Questions
What is Daggr?
Daggr is a free automation & integrations skill for AI coding agents. This skill helps you design and deploy visual DAG-based AI pipelines by connecting Gradio Spaces, HuggingFace models, and Python functions.. It provides a specialized system prompt that configures your agent with automation & integrations expertise.
How do I use Daggr with Claude Code?
Run npx playbooks add skill gradio-app/daggr --skill daggr in your terminal to install Daggr into your Claude Code session. It works immediately after installation.
Which AI coding agents work with Daggr?
Daggr is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Is Daggr free to use?
Yes, Daggr is completely free and open source. The full source is available on GitHub at https://github.com/gradio-app/daggr/tree/main/.agents/skills/daggr. You only need a subscription to the AI agent you use it with.
