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By EricGrill
Build secure Solidity smart contracts for DeFi protocols like AMMs and lending, implement ERC-721/1155 NFT standards, apply vulnerability protections like reentrancy guards, and test with Hardhat/Foundry fuzzing and forking, all via AI skills and agents for Ethereum, Solana, and L2s.
npx claudepluginhub ericgrill/agents-skills-plugins --plugin blockchain-web3Implement DeFi protocols with production-ready templates for staking, AMMs, governance, and lending systems. Use when building decentralized finance applications or smart contract protocols.
Implement NFT standards (ERC-721, ERC-1155) with proper metadata handling, minting strategies, and marketplace integration. Use when creating NFT contracts, building NFT marketplaces, or implementing digital asset systems.
Master smart contract security best practices to prevent common vulnerabilities and implement secure Solidity patterns. Use when writing smart contracts, auditing existing contracts, or implementing security measures for blockchain applications.
Test smart contracts comprehensively using Hardhat and Foundry with unit tests, integration tests, and mainnet forking. Use when testing Solidity contracts, setting up blockchain test suites, or validating DeFi protocols.
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Uses Bash, Write, or Edit tools
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Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Specialized agents for blockchain development, smart contracts, and Web3 applications
Blockchain development agents providing expertise in blockchain architecture, smart contracts, and Web3
Claude Code skill pack for Alchemy (18 skills)
Ethereum development skills — corrects LLM blind spots on gas costs, L2s, DeFi protocols, security, and the current tool landscape.
Audits and resolves Claude plugin dependencies — validates installed plugins against extends-plugin.json declarations, scans plugin files for undeclared dependencies, and resolves installation paths with fuzzy matching.
Full dev lifecycle for OP_NET Bitcoin L1 projects: idea → challenge → spec → build → review → ship. Self-learning across sessions with pattern extraction, agent performance scoring, score-based finding routing, project-type profiles, cross-layer validation, and starter templates. Includes shell-enforced E2E testing gates, frontend runtime smoke checks, PUA problem-solving methodology, the OP_NET Bible (2000+ lines), cross-agent critique, adversarial auditing, adversarial E2E testing, ABI-lock checkpoints, findings ledger with regression tracking, acceptance test generation, chain probe, hard gate enforcement, incremental audits, dry-run mode, execution tracing, dynamic re-planning from learned patterns, dynamic knowledge slice loading, property-based fuzz testing, stale pattern pruning, mutation testing as loop exit gate, structured repair phases (R1/R2/R3), goal-oriented build evaluation, hierarchical repo map, autoresearch optimize mode, and TLA+ formal specification verification as a pre-codegen phase. Agents get smarter with every project.
Automated code review for pull requests using multiple specialized agents with confidence-based scoring
Context management with save and restore capabilities
Customer support and sales automation agents
Team collaboration with DX optimization, issue tracking, and standup notes
LLM application development with RAG, embeddings, LangChain, and prompt engineering
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