ethpandaops

Query Ethereum network data via ethpandaops CLI or MCP server. Use when analyzing blockchain data, block timing, attestations, validator performance, network health, or infrastructure metrics. Provides access to ClickHouse (blockchain data), Prometheus (metrics), Loki (logs), and Dora (explorer APIs).

Run schema probing self-play loop to find and fix ClickHouse schema ambiguity in the panda repo. Use when the user wants to improve query reliability by finding where the agent picks different tables for the same question.

Debug Ethereum devnet or network issues. Use when diagnosing finality delays, network splits, offline nodes, client bugs, or general network health problems. Works for both local Kurtosis devnets and remote hosted deployments.

Install panda as an MCP server in AI coding assistants (Claude Code, Claude Desktop, Cursor). Use when setting up panda, configuring MCP, or connecting AI tools to panda. Triggers on: install mcp, setup mcp, configure mcp, register mcp, add mcp server.

Install and set up panda from scratch. Use when the user wants to install panda, get started with panda, or set up their environment. Triggers on: install panda, setup panda, get started, getting started.

Add a new datasource module to ethpandaops/panda. Triggers on: add module, new module, create module, add plugin, new plugin, create plugin, add datasource.

Extract a reusable runbook from a successful investigation or troubleshooting session. Use after completing a multi-step diagnosis that could help future investigations.

Create a new React component following Lab's architecture patterns. Determines component scope (core vs. page-scoped), generates proper structure with TypeScript types, creates Storybook stories for core components, and ensures composability with existing components.

Learn how to create a new route in The Lab.

Learn how to visualize data in a sustainable, accurate, and theme aware way.

Deeply optimize a Xatu CBT transformation model query using live ClickHouse evidence. Use when the user wants performance analysis (not code edits) for `models/transformations/*.sql`, including dependency rendering, schema introspection, benchmark runs, and high-impact recommendations.

Deeply optimize a Xatu CBT transformation model query using live ClickHouse evidence. Use when performance analysis is requested for `models/transformations/*.sql`, including dependency rendering, schema introspection (`SHOW CREATE` with `_local` table checks), cache-aware benchmarking, and high-impact recommendations without editing model files.

Create an ethPandaOps-style instructional/explainer image for Ethereum concepts. Generates clean whiteboard-aesthetic diagrams following the ethPandaOps/investigations visual style guide.

Create a new Ethereum data investigation page in the notebooks repo. Use when the user wants to add a new investigation, analysis, or research page that queries Xatu/ClickHouse data and visualizes findings with charts.

Run Ethereum multi-client devnets using Kurtosis and the ethpandaops/ethereum-package. Use for spinning up local devnets, syncing public testnets, validating cross-client interop, testing fork transitions, shadowforks, running assertoor checks, debugging CL/EL client interactions, or verifying new feature implementations across multiple consensus and execution clients.

Analyze Ethereum Improvement Proposals by fetching content and optionally deep-diving into implementations