Transform natural language requests into fully automated blockchain monitoring and AI analysis workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install k3-blockchain-agent
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 k3-blockchain-agent 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 K3 Blockchain Agent?
The K3 Blockchain Agent is a specialized tool designed to bridge the gap between complex on-chain data and actionable insights. By leveraging Openclaw Skills, developers can create sophisticated workflows that fetch data from smart contracts, subgraphs, or market APIs, analyze that data using advanced AI models, and deliver formatted reports to communication platforms like Slack, Telegram, or email. It simplifies the lifecycle of building DeFi monitors, wallet trackers, and automated trading signals by providing a conversational interface for workflow orchestration.
This skill is particularly valuable for teams needing to monitor protocol health, track specific wallet movements, or generate scheduled reports on market trends. It integrates directly with the K3 Development MCP to provide a seamless bridge between natural language intent and deployed, running automations. Whether you are monitoring Uniswap liquidity or tracking NFT floor prices, this agent streamlines the entire data pipeline from discovery to delivery.
K3 Blockchain Agent Use Cases
- Automated monitoring of Uniswap liquidity pools and WETH/USDC volume updates.
- Real-time Telegram alerts for specific wallet transactions or large whale movements.
- Scheduled daily DeFi performance reports and anomaly detection delivered via email.
- Monitoring smart contract events and NFT floor price fluctuations across multiple chains.
- Triggering automated swaps or token transfers based on predefined AI analysis of market conditions.
How K3 Blockchain Agent Works
- Define the specific data target, blockchain network, and delivery preference through a conversational request.
- Select the optimal data source using K3 functions such as Read Smart Contract, Read Market Data, or Read Graph.
- Create a minimal test workflow to verify that the data fetch returns the expected parameters before full deployment.
- Construct the complete workflow including AI analysis logic and notification triggers using the generateWorkflow tool.
- Deploy the workflow and perform a manual execution to verify the end-to-end integration and delivery chain.
K3 Blockchain Agent Setup
To utilize this skill, you must ensure the K3 Development MCP is connected to your environment. This provides the necessary tools for workflow generation and execution within the Openclaw Skills ecosystem.
# Verify the K3 MCP connection and check available data source integrations
listTeamMcpServerIntegrations()
# Search for existing workflow templates to use as a starting point
findAgentByFunctionality(intent="monitor uniswap pools")
Once connected, you can begin building workflows by describing your requirements in plain language.
K3 Blockchain Agent Data Schema & Taxonomy
The K3 Blockchain Agent organizes its operations through a structured metadata taxonomy to ensure reliable execution and reporting.
| Component | Description |
|---|---|
| Workflow ID | Unique identifier for the deployed automation used for updates and logs |
| Trigger Config | Defines the execution schedule (cron) or event-based triggers (wallet activity) |
| Data Nodes | Specification for API, GraphQL, or Smart Contract queries used to pull data |
| AI Analysis Prompt | The natural language instructions used by the LLM to process fetched data |
| Output Channels | Metadata for delivery destinations including Email, Slack, Telegram, or Google Sheets |
K3 Blockchain Agent Advanced Features
- Conversational workflow orchestration allowing for iterative refinement and debugging via MCP tools.
- Multi-chain support including Ethereum, Arbitrum, Polygon, Base, and Stellar.
- Deep integration with TheGraph for custom GraphQL subgraph queries and complex DeFi metrics.
- AI-powered web scraping capabilities to extract structured data from non-API blockchain resources.
- Template discovery system to find and adapt existing agent functionalities for faster deployment.
- Support for executable actions including swaps and transfers based on AI-evaluated triggers.
SKILL.md
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