web3-implementer

Name: web3-implementer
Availability: InStock
Author: gwpjp

Coordinate Ponder schema queries and wagmi reads/writes with two-layer hooks.

3|Updated Jan 31, 2026

Search Tags:#hooks #blockchain #wagmi #orchestrate #transform #ponder

Ready to run

npx skills add https://github.com/gwpjp/Web3-Claude --skill web3-implementer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: web3-implementer
Source: https://github.com/gwpjp/Web3-Claude/tree/main/.claude/skills/web3-implementer
Command: npx skills add https://github.com/gwpjp/Web3-Claude --skill web3-implementer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill acts as the primary agent for implementing blockchain functionality, coordinating ponder-indexer queries, wagmi-based reads/writes, and the two-layer hook architecture to streamline reads, writes, and debugging across on-chain data.

Core Features & Use Cases

Orchestration of blockchain data flows: Route calls through ponder and wagmi specialists to implement contracts reads/writes and data fetching.
Two-layer hook architecture guidance: Ensure separation of raw ponder hooks from transform hooks for domain objects.
Use Case: When you need to implement a new on-chain data read or write workflow, activate this skill to coordinate sub-agents and scaffold hooks and queries.

Quick Start

Initialize the Web3 Implementer by calling it to coordinate a new on-chain data flow, then follow up with the appropriate sub-agents.

Frequently Asked Questions about web3-implementer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I orchestrate on-chain data flows using Ponder and wagmi?▼

Implement a two-layer hook architecture by separating raw Ponder hooks from transform hooks for domain objects. This separation streamlines reads, writes, and debugging across your blockchain data workflows.

How do I separate raw Ponder hooks from transform hooks for domain objects?▼

Enforce a two-layer hook architecture by keeping raw Ponder hooks distinct from transform hooks for domain objects. This separation streamlines reads, writes, and debugging across your blockchain data workflows.

Does this blockchain orchestration approach require sub-agents for schema interpretation?▼

Yes, the orchestration approach delegates schema interpretation and transaction logic to specialized sub-agents. It relies on project rules and enabled guards to coordinate deep expertise when needed.

What is the best way to scaffold new on-chain data reads and writes?▼

The best way to scaffold new on-chain data reads and writes is to activate a coordinating agent that enforces a two-layer hook architecture and delegates schema logic to specialized sub-agents.

Why use a two-layer hook architecture for blockchain data orchestration?▼

Use a two-layer hook architecture to isolate raw Ponder schema hooks from transformative domain hooks. This separation prevents logic entanglement and streamlines debugging across on-chain data workflows.

Can I use wagmi reads and writes with Ponder schema queries?▼

Yes, you can use wagmi reads and writes with Ponder schema queries. The skill coordinates these tools by routing calls through specialized sub-agents to execute contract interactions and data fetching.