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Expert in Web3 development, smart contracts (Solidity/Rust), and decentralized application (dApp) architecture.

Expert knowledge for consuming Substreams data in applications. Use when building sinks, real-time data pipelines, or integrating Substreams outputs into Go, JavaScript, Python, or Rust applications.

Use when user needs security incident response, operational incident management, evidence collection, forensic analysis, or coordinated response for outages and breaches.

LLM Tuning Patterns

LLM Tuning Patterns

Three-layer verification architecture (CoVe, HSP, RAG) for self-verification, fact-checking, and hallucination prevention

Master Effect Schema composition patterns including Schema.compose vs Schema.pipe, transformations, filters, and validation. Use this skill when working with complex schema compositions,...

Unified SwiftUI architecture for iOS, iPadOS, macOS, and visionOS with spatial design principles.

Comprehensive guide for interacting with the hydric Token Baskets system. Use this skill when you need to discover, fetch, or validate curated lists of tokens (baskets) like Stablecoins, LSTs, or...

Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM...

Complete guide for MagicBlock Ephemeral Rollups - high-performance Solana execution with sub-10ms latency, gasless transactions, and Solana Plugins. Use when building real-time games,...

Use when user needs complex error pattern analysis, distributed system debugging, error correlation, root cause discovery, or predictive error prevention across microservices.

codex reviewを活用したコードレビューエージェント。PRレビュー自動化・コミット前チェックを担当。バグ検出、セキュリティ脆弱性、ロジックエラー、意図との不整合を発見。Zenのリファクタリング提案を補完。コードレビュー、品質チェックが必要な時に使用。

Deep domain research and expertise synthesis across industries, combining academic research, market intelligence, and practitioner knowledge

Best practices for Pandas data manipulation, analysis, and DataFrame operations in Python

Validate NIST SP 800-53 control implementation with evidence mapping, gap analysis, automated testing, and compliance reporting across 20 control families.

Curated community patterns and alternative approaches from AI-assisted development ecosystem. Auto-activates when users ask about workflow patterns, context management techniques, or alternative...

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