evm-swiss-knife
Interact with EVM-compatible blockchains using Foundry's cast tool for querying balances, calling contracts, sending transactions, and blockchain exploration. Use when needing to interact with Ethereum Virtual Machine networks via command-line, including reading contract state, sending funds, executing contract functions, or inspecting blockchain data.
market-sentiment
Aggregate news from popular cryptocurrency RSS feeds, analyze sentiment of articles, and calculate an overall market sentiment score with detailed explanation. Use when assessing crypto market sentiment for trading decisions, research, or monitoring trends from RSS sources.
yield-opportunities
Comprehensive tool for finding and analyzing DeFi yield opportunities across protocols, chains, and asset types. Use when users want to earn yield on crypto assets (staking, lending, liquidity farming, aggregators). Supports exhaustive parallel research using librarian agents, direct web searches, and GitHub repository analysis.
trading-strategist
Provides trading strategies for cryptocurrencies based on Binance market data, calculated technical analysis indicators, and aggregated market sentiment from crypto RSS news feeds. Use when users ask for trading advice, strategy recommendations, or analysis combining price data, TA, and sentiment for crypto assets like ETH, BTC, or altcoins.
token-minter
Generate, build, and deploy custom ERC20 tokens on EVM networks. Use when users want to create and deploy their own ERC20 tokens with custom parameters like name, symbol, decimals, and initial supply. Supports deployment to various networks including Sepolia testnet and requires Foundry (forge/cast) for blockchain interactions.
spec-driven-development
Implement the complete spec-driven development workflow from instructions through requirements, design, and implementation planning. Use this skill when starting new features or major refactorings that benefit from structured planning before coding.
effect-ai-language-model
Master the Effect AI LanguageModel service for text generation, structured output, streaming, and tool calling. Use when working with LLM interactions, schema-validated responses, or building conversational AI systems.
service-implementation
Implement Effect services as fine-grained capabilities avoiding monolithic designs
schema-composition
Master Effect Schema composition patterns including Schema.compose vs Schema.pipe, transformations, filters, and validation. Use this skill when working with complex schema compositions, multi-step transformations, or when you need to validate and transform data through multiple stages.
react-vm
Implement the VM pattern using Effect and Effect-Atom for reactive, testable frontend state management. Use this skill when building React applications with View Models that bridge domain services and UI.
react-composition
Build composable React components using Effect Atom for state management. Use this skill when implementing React UIs that avoid boolean props, embrace component composition, and integrate with Effect's reactive state system.
platform-abstraction
Use @effect/platform abstractions for cross-platform file I/O, process spawning, HTTP clients, and terminal operations. Apply this skill when writing code that interacts with the filesystem, spawns processes, makes HTTP requests, or performs console I/O to ensure portability across Node.js, Bun, and browser environments.
pattern-matching
Master Effect pattern matching using Data.TaggedEnum, $match, $is, Match.typeTags, and Effect.match. Avoid manual _tag checks and Effect.either patterns. Use this skill when working with discriminated unions, ADTs, or conditional logic based on tagged types.
parallel-explore
Parallel exploration of codebase questions by decomposing into independent tracks. Use when exploring architecture, understanding systems, or investigating complex questions that benefit from multiple perspectives.
layer-design
Design and compose Effect layers for clean dependency management
error-handling
Implement typed error handling in Effect using Data.TaggedError, catchTag/catchTags, and recovery patterns. Use this skill when working with Effect error channels, handling expected failures, or designing error recovery strategies.
effect-testing
Write comprehensive tests using @effect/vitest for Effect code and vitest for pure functions. Use this skill when implementing tests for Effect-based applications, including services, layers, time-dependent effects, error handling, and property-based testing.
effect-concurrency-testing
Test Effect concurrency primitives including PubSub, Deferred, Latch, Fiber coordination, SubscriptionRef, and Stream. Use this skill when testing concurrent effects, event-driven systems, or fiber coordination.
effect-ai-tool
Define and implement AI tools using @effect/ai's Tool and Toolkit APIs. Use when building LLM integrations with type-safe tool definitions, parameter validation, and handler implementations. Covers user-defined tools, provider-defined tools, and toolkit composition.
context-witness
Decide between Context Tag witness and capability patterns for dependency injection, understanding coupling trade-offs
effect-ai-streaming
Master Effect AI streaming response patterns including start/delta/end protocol, accumulation strategies, resource-safe consumption, and history management with SubscriptionRef.
effect-ai-provider
Configure and compose AI provider layers using @effect/ai packages. Covers Anthropic, OpenAI, OpenRouter, Google, and Amazon Bedrock providers with config management, model abstraction, and runtime overrides for language model integration.
effect-ai-prompt
Build prompts for Effect AI using messages, parts, and composition operators. Covers the complete Prompt API for constructing, merging, and manipulating conversations with language models.
architecture-analysis
Architectural dependency analysis and impact assessment. Use for: (1) Blast radius - who depends on a service, what breaks if I change it; (2) Dependency tree - what does a service depend on (ancestors/upstream); (3) Root cause analysis - find shared dependencies when multiple services fail; (4) Architecture metrics - coupling (density), depth (diameter), connectivity; (5) Domain discovery - identify module boundaries via cut vertices; (6) Hot services - critical infrastructure with many dependents; (7) Impact assessment before changes; (8) Debugging cascading failures; (9) Identifying god services, tight coupling, deep hierarchies. Provides graph-based analysis via CLI commands: analyze, blast-radius, ancestors, common-ancestors, metrics, domains, hot-services. All agents can use this for architectural questions.
ai-context-writer
Create and update ai-context.md files that document modules for AI assistants. Use when adding documentation for packages, apps, or external references that should be discoverable via /modules commands.
writing-laws
Write formal laws and covenants for codebases using proper legal-style structure. Use when establishing inviolable standards, architectural constraints, or domain-specific rules that must be followed without exception.
typeclass-design
Implement typeclasses with curried signatures and dual APIs for both data-first and data-last usage
command-executor
Execute system commands and manage processes using Effect's Command module from @effect/platform. Use this skill when spawning child processes, running shell commands, capturing command output, or managing long-running processes with cleanup.
the-vm-standard
The VM Standard - inviolable covenants governing View Model architecture in this codebase. These covenants SHALL NOT be violated under any circumstance.
atom-state
Implement reactive state management with Effect Atom for React applications
domain-predicates
Generate comprehensive predicates and orders for domain types using typeclass patterns
domain-modeling
Create production-ready Effect domain models using Schema.TaggedStruct for ADTs, Schema.Data for automatic equality, with comprehensive predicates, orders, guards, and match functions. Use when modeling domain entities, value objects, or any discriminated union types.
wide-events
Conceptual guide to wide events (canonical log lines) for observability. Use when thinking about instrumentation strategy, span annotations, or designing what context to capture.
codebase-explorer
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ergon
AI media generation CLI tool using Google's Imagen 4, Veo 3.1, and Gemini TTS. Use when the user wants to (1) generate images from text prompts, (2) edit existing images with AI, (3) explain image contents, (4) generate videos from text or images, (5) create narration/voice audio with character settings. Triggers on requests like "generate an image of...", "create a video...", "make a voice that says...", "edit this image to...", "describe this image".
Tuner
EXPLAIN ANALYZE分析、クエリ実行計画最適化、インデックス推奨、スロークエリ検出・修正。DBパフォーマンス改善、クエリ最適化が必要な時に使用。Schemaのスキーマ設計を補完。
Zen
変数名改善、関数抽出、マジックナンバー定数化、デッドコード削除、コードレビュー。コードが読みにくい、リファクタリング、PRレビューが必要な時に使用。動作は変えない。
Warden
V.A.I.R.E.品質基準（Value/Agency/Identity/Resilience/Echo）の守護者。リリース前評価、スコアカード査定、合否判定を担当。UX品質ゲートが必要な時に使用。コードは書かない。
Voyager
E2Eテスト専門。Playwright/Cypress/WebdriverIO設定、Page Object設計、認証フロー、並列実行、視覚回帰、A11yテスト、CI統合。ユーザージャーニー全体を検証。RadarのE2E専門版。E2Eテスト作成が必要な時に使用。
Void
YAGNI検証・スコープカット・プルーニング・複雑性削減提案。コード・機能・プロセス・ドキュメント・設計・仕様・依存・設定すべての存在正当性を問い、不要な複雑性の削減を提案する「引き算」エージェント。コードは書かない。
Voice
ユーザーフィードバック収集、NPS調査設計、レビュー分析、感情分析、フィードバック分類、インサイト抽出レポート。フィードバックループの確立が必要な時に使用。
Vision
UI/UXのクリエイティブディレクション、完全リデザイン、新規デザイン、トレンド適用。デザインの方向性決定、Design System構築、Muse/Palette/Flow/Forgeのオーケストレーションが必要な時に使用。コードは書かない。
Vigil
Detection Engineeringエージェント。Sigma/YARAルール設計、検出カバレッジマッピング、脅威ハンティング仮説設計、Purple Team Blue側実行、Detection-as-Code CI/CD統合を担当。防御的セキュリティ検証が必要な時に使用。
Triage
障害発生時の初動対応、影響範囲特定、復旧手順策定、ポストモーテム作成。インシデント対応・障害復旧が必要な時に使用。コードは書かない（修正はBuilderに委譲）。
Trace
セッションリプレイ分析、ペルソナベースの行動パターン抽出、UX問題のストーリーテリング。実際のユーザー操作ログから「なぜ」を読み解く行動考古学者。Researcher/Echoと連携してペルソナ検証。
Prism
NotebookLMのステアリングプロンプト設計を支援するコンサルタント。Audio/Video/Slide等の出力品質を最大化したい時に使用。
Polyglot
国際化（i18n）・ローカライズ（l10n）スペシャリスト。ハードコード文字列のt()関数化、Intl APIによる日付/通貨/数値フォーマット、翻訳キー構造管理、RTLレイアウト対応。多言語対応、i18nセットアップが必要な時に使用。
Pixel
画像モックアップ（PNG/JPG/スクリーンショット）からピクセル忠実なHTML/CSSコードを生成し、視覚検証まで行う再現エージェント。モックアップからのコード生成が必要な時に使用。
Pipe
GHAワークフローの深い専門家。トリガー戦略、セキュリティ強化、パフォーマンス最適化、PR自動化、Reusable Workflow設計まで。GHAワークフロー新規設計・高度な最適化が必要な時に使用。
Palette
ユーザビリティ改善、インタラクション品質向上、認知負荷軽減、フィードバック設計、a11y対応。UXの使い勝手を良くしたい、操作感を改善したい時に使用。
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