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.
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.
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.
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.
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.
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.
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.
codebase-explorer
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atom-state
Implement reactive state management with Effect Atom for React applications
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.
context-witness
Decide between Context Tag witness and capability patterns for dependency injection, understanding coupling trade-offs
typescript-strict
Enforce TypeScript strict mode practices and type safety in Tetris codebase. Use when writing game logic, handling errors, improving type safety, or fixing type errors. Auto-triggers on phrases like "fix type errors", "improve type safety", "handle this error", or "make this type-safe". Focuses on Result<T,E> pattern, proper type guards, and avoiding type assertions.
tdd-workflow
Test-driven development guidance for Tetris game logic. Use when writing tests, fixing test failures, improving test coverage, or implementing game mechanics. Auto-triggers on phrases like "write a test", "test this function", "improve coverage", "fix failing tests", or "add game logic". Emphasizes Result<T,E> pattern and property-based testing with fast-check.
react-component-design
Design React components following Tetris architecture guidelines. Use when creating new components, refactoring components, optimizing performance, or improving component structure. Auto-triggers on phrases like "create a component", "refactor this component", "optimize rendering", or "improve component design". Emphasizes component consolidation, unified patterns, and efficient hook usage.
i18n-completeness
Comprehensive i18n consistency check with dynamic pattern detection and hardcoded string analysis. Use when working with translations, localization, i18n keys, or when the user mentions translation issues, missing keys, or language support. Auto-triggers on phrases like "check translations", "i18n consistency", "localization issues", or "translation keys".
codex
OpenAI Codex CLIを使用したコードレビュー、分析、コードベースへの質問を実行する。使用場面: (1) コードレビュー依頼時、(2) コードベース全体の分析、(3) 実装に関する質問、(4) バグの調査、(5) リファクタリング提案、(6) 解消が難しい問題の調査。トリガー: "codex", "コードレビュー", "レビューして", "分析して", "/codex"
build-pipeline
Execute complete build pipeline with dead code detection, formatting, linting, type checking, testing, and production build. Use when the user mentions building, running the full pipeline, checking code quality, or preparing for deployment. Auto-triggers on phrases like "build the project", "run all checks", "prepare for production", or "validate code quality".
architecture-compliance
Verify Tetris architecture compliance with coding rules and design patterns. Use when reviewing code, implementing features, refactoring, or validating architectural decisions. Auto-triggers on phrases like "review this code", "check architecture", "is this correct?", "refactor this", or "implement feature". Checks for prohibited patterns (classes, enums, any types, hardcoded strings) and required patterns (functional programming, Result type, proper imports).
validate-project-rules
Lista Técnica de Regras de Negócio do labSIS-KIT. Define comportamento esperado para isolamento, permissões e instalação.
opsy
Use when working with Opsy to manage infrastructure — inspecting projects/resources, proposing changes, previewing them, and applying executions. Prefer MCP when available, fall back to CLI otherwise.
trading-agent
Autonomous AI trading agent for Hyperliquid perpetual futures exchange. Use when user wants to trade crypto, set up trading automation, monitor positions, analyze markets, or manage a Hyperliquid account. Trigger on any trading-related message like "I want to trade", "What's my balance?", "Start trading", "Close positions", etc.
trader-agent-v4.1
Advanced autonomous AI trading agent for Hyperliquid perpetual futures. Features multi-indicator confirmation (RSI/MACD/BB/StochRSI/ADX/Ichimoku/Supertrend), sentiment analysis, on-chain metrics, 4 unified trading modes (Directional, Mean-Reversion, Passive, Arbitrage), regime detection, session timing, Kelly Criterion sizing, correlation-based heat, execution algorithms (TWAP/VWAP), manipulation detection, and order flow analysis. Use when user wants to trade crypto with sophisticated analysis.
trader-agent-v3
Autonomous AI trading agent for Hyperliquid perpetual futures exchange. Use when user wants to trade crypto, set up trading automation, monitor positions, analyze markets, or manage a Hyperliquid account. Trigger on any trading-related message like "I want to trade", "What's my balance?", "Start trading", "Close positions", etc.
trader-agent-v2
Autonomous AI trading agent for Hyperliquid perpetual futures exchange. Use when user wants to trade crypto, set up trading automation, monitor positions, analyze markets, or manage a Hyperliquid account. Trigger on any trading-related message like "I want to trade", "What's my balance?", "Start trading", "Close positions", etc.
crypto-data
Free crypto market data APIs for trading agents. Provides Fear & Greed Index, trending coins, market data, and coin prices using CoinGecko (free tier) and Alternative.me APIs. No API key required for basic usage.
platform-orchestrator
Orchestrates all skills for unified platform deployment. All services enabled by default. Run from bastion server.
network-security
VPN access and firewall rules. Headscale VPN on bastion for admin access to private services.
minio-storage
MinIO S3-compatible object storage on Kubernetes. Use when deploying MinIO, configuring buckets, setting up integrations with GitLab/Loki/backups, or managing S3-compatible storage infrastructure.
k8s-secrets
Vault + External Secrets Operator for secrets management.
k8s-observability
VictoriaMetrics + Loki + Grafana. Light or full mode.
k8s-gitops
ArgoCD GitOps continuous delivery for Kubernetes. Use when installing ArgoCD, configuring ApplicationSets, setting up GitLab CI integration, or managing GitOps repository structure.
k8s-databases
PostgreSQL and MongoDB on Kubernetes via Percona Operators. Use when deploying databases, configuring HA clusters, setting up backups, monitoring, or performing database operations.
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