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Agents are AI-powered assistants that combine blockchain data access, domain expertise, and specialized tools to solve complex analysis problems. Each agent is equipped with skills that define what it knows and what it can do.
Flipspace Agents interface showing available agents with their skills and tools

Key Concepts

How Agents Work

Agents combine three key components:
  1. AI Model — The underlying language model (Claude, GPT, etc.) that powers reasoning and conversation
  2. Skills — Domain knowledge and tool access packaged for specific use cases
  3. Tools — Capabilities like SQL querying, table discovery, and data visualization
When you chat with an agent, it uses its assigned skills to understand your question, query the right data, and generate meaningful insights.

Getting Started

Agents and skills are created and managed through the Flipside CLI. To build your own:
1

Install the CLI

Follow the CLI installation guide to set up the Flipside CLI on your machine.
2

Create an Agent

Use flipside agents init to create a new agent configuration. See the CLI Agents documentation for details.
3

Create Skills

Use flipside skills init to create skills that give your agent domain knowledge and tools. See the CLI Skills documentation for details.
4

Deploy

Push your agent and skills to make them available in Flipspace.

Agent Architecture

┌─────────────────────────────────────────────┐
│                   Agent                      │
│  ┌─────────────────────────────────────┐    │
│  │           AI Model                   │    │
│  │     (Claude, GPT, Gemini)           │    │
│  └─────────────────────────────────────┘    │
│                    │                         │
│  ┌─────────┬───────┴───────┬─────────┐     │
│  │ Skill 1 │    Skill 2    │ Skill 3 │     │
│  │         │               │         │     │
│  │ Tools:  │   Tools:      │ Tools:  │     │
│  │ - SQL   │   - Tables    │ - HTML  │     │
│  │ - Viz   │   - Schema    │ - SQL   │     │
│  └─────────┴───────────────┴─────────┘     │
└─────────────────────────────────────────────┘

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