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Found 474 Skills
Use when a Jetpack Compose screen-level composable takes a ViewModel/component/controller, collects state or effects, handles navigation/snackbars, or wires callbacks while also rendering layout.
This skill should be used when the user wants to bulk-build ArcKit artefacts in parallel rather than running individual /arckit:* commands one at a time. Load whenever the task sounds like 'kick off a build', 'build everything', 'generate all artefacts', 'run all the commands', 'rebuild this project from scratch', 'resume the build', 'pick up where we left off', 'refresh the artefacts', 'run the recipe', 'build the whole project end-to-end', or 'parallel build', or mentions `--plan`, `--resume`, `--target`, `--refresh`, `--recipe`, or `.arckit/state.json`. The skill orchestrates parallel /arckit:* generation using subagent isolation: reads project state, computes the artefact dependency DAG, dispatches one subagent per target per wave (each subagent invokes a /arckit:* skill in its own context), validates outputs, commits the wave, and persists progress to .arckit/state.json for resumability.
Expert Terraform/OpenTofu specialist mastering advanced IaC automation, state management, and enterprise infrastructure patterns. Handles complex module design, multi-cloud deployments, GitOps workflows, policy as code, and CI/CD integration. Covers migration strategies, security best practices, and modern IaC ecosystems. Use PROACTIVELY for advanced IaC, state management, or infrastructure automation.
Standardizes UX states for data fetching flows (loading, error, empty, success) and complex multi-view UI patterns. Provides state machine approach recommendations, loading skeletons, error boundaries, and empty state components. Use when implementing "loading states", "error handling", "empty states", or "state machines".
Use when writing Terraform for OCI, troubleshooting provider errors, managing state files, or implementing Resource Manager stacks. Covers terraform-provider-oci gotchas, resource lifecycle anti-patterns, state management mistakes, authentication issues, and OCI Landing Zones.
Nuxt 4 data management: composables, data fetching with useFetch/useAsyncData, and state management with useState and Pinia. Use when: creating custom composables, fetching data with useFetch or useAsyncData, managing global state with useState, integrating Pinia, debugging reactive data issues, or implementing SSR-safe state patterns. Keywords: useFetch, useAsyncData, $fetch, useState, composables, Pinia, data fetching, state management, reactive, shallow reactivity, reactive keys, transform, pending, error, refresh, dedupe, caching
Jetpack Compose patterns for declarative UI, state management, theming, animations, and performance optimization.
Use when designing or building modern web applications in JavaScript/TypeScript (SPA/SSR/SSG/ISR/RSC): architecture trade-offs, state/data patterns, performance, testing, delivery, and team scaling.
Implement drag and drop using @atlaskit/pragmatic-drag-and-drop. Use when implementing sortable lists, reorderable items, kanban boards, or any drag-drop interactions. Covers draggable setup, drop targets, edge detection, drag previews, and critical state management patterns to avoid performance issues.
Zustand store data structure patterns for LobeHub. Covers List vs Detail data structures, Map + Reducer patterns, type definitions, and when to use each pattern. Use when designing store state, choosing data structures, or implementing list/detail pages.
Use for Roblox persistent data and cross-server state design: choosing between DataStoreService, OrderedDataStore, MemoryStoreService, and MessagingService; designing save and load flows, schema shape, versioning, metadata, retries, quotas, observability, and concurrency-safe coordination across servers.
Registers state-type triggers that automatically fire functions when key-value state is created, updated, or deleted within a scope. Use when building reactive side effects, change watchers, audit logs, cache invalidation, notification dispatchers, or any observer pattern where data changes should trigger downstream processing.