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curiositech/windags-skills

Especialista em tarefas em segundo plano no Android, com foco em WorkManager, Foreground Services, Modo Doze e otimização de bateria. Ative em: WorkManager, tarefa em segundo plano Android, Foreground Service, Modo Doze, otimização de bateria, trabalho periódico, sincronização em segundo plano Android, JobScheduler. NÃO para: tarefas em segundo plano iOS (use swiftui-data-flow-expert), tarefas em segundo plano React Native (use mobile-offline-sync-architect), arquitetura de UI (use jetpack-compose-navigation-expert).

O que é windags-skills?

Este skill é especializado em execução de tarefas em segundo plano no Android, abrangendo WorkManager, Foreground Services, gerenciamento do Modo Doze e processamento eficiente de bateria. Ele orienta na escolha da API correta (WorkManager para trabalho adiável, Foreground Service para tarefas contínuas visíveis ao usuário e corrotinas para trabalho assíncrono curto), na definição de workers com `CoroutineWorker` e funções `suspend`, e na configuração de restrições como tipo de rede, nível de bateria e armazenamento. Além disso, cobre como lidar com Doze e App Standby, garantindo que o agendamento seja compatível com o modo de economia de energia, e fornece padrões arquiteturais como a árvore de decisão do WorkManager, código de exemplo com retry e progresso, agendamento com restrições e encadeamento de tarefas. O skill também lista anti-padrões comuns, como o uso de AlarmManager para trabalho adiável, e inclui uma checklist de qualidade para garantir a implementação correta, com recomendações de teste via ADB. Ele é ativado automaticamente quando o usuário menciona termos como WorkManager, Foreground Service, Doze mode ou otimização de bateria, e não deve ser usado para iOS, React Native ou arquitetura de UI.

Funciona com~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/curiositech/windags-skills/tree/HEAD/skills/android-background-task-specialist

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Documentação

Especialista em Tarefas em Segundo Plano no Android

Especialista em execução em segundo plano no Android com WorkManager, Foreground Services, tratamento do Modo Doze e processamento eficiente de bateria.

Gatilhos de Ativação

Ative em: "WorkManager", "tarefa em segundo plano Android", "Foreground Service", "Modo Doze", "otimização de bateria", "trabalho periódico", "sincronização em segundo plano", "JobScheduler", "processamento em segundo plano Android"

NÃO para: tarefas em segundo plano iOS → swiftui-data-flow-expert | tarefas em segundo plano React Native → mobile-offline-sync-architect | arquitetura de UI → jetpack-compose-navigation-expert

Início Rápido

  1. Escolha a API correta — WorkManager para trabalho adiável, Foreground Service para tarefas contínuas visíveis ao usuário, corrotinas para trabalho assíncrono curto
  2. Defina workers — estenda CoroutineWorker com funções suspend para código assíncrono limpo
  3. Configure restrições — tipo de rede, nível de bateria, requisitos de armazenamento
  4. Lide com Doze e App Standby — use WorkManager (não AlarmManager) para agendamento compatível com Doze
  5. Teste com adb — force o Modo Doze e verifique se o trabalho é executado quando as restrições são atendidas

Capacidades Principais

DomínioTecnologias
Trabalho AdiávelWorkManager 2.10, OneTimeWorkRequest, PeriodicWorkRequest
Primeiro PlanoTipos de Foreground Service (dataSync, location, mediaPlayback, shortService)
RestriçõesNetworkType, BatteryNotLow, StorageNotLow, DeviceIdle
EncadeamentoWorkContinuation, cadeias paralelas, políticas de trabalho único
TestesTestWorkerBuilder, TestListenableWorkerBuilder, WorkManagerTestInitHelper

Padrões Arquiteturais

Árvore de Decisão do WorkManager

A tarefa é iniciada pelo usuário e precisa ser concluída?
  ├─ SIM → É curta (< 10 min)?
  │   ├─ SIM → Foreground Service (tipo shortService)
  │   └─ NÃO → Foreground Service (dataSync, location, etc.)
  │
  └─ NÃO → É adiável?
      ├─ SIM → WorkManager
      │   ├─ Única? → OneTimeWorkRequest
      │   └─ Periódica? → PeriodicWorkRequest (intervalo mínimo de 15 min)
      │
      └─ NÃO → É enquanto o aplicativo está visível?
          ├─ SIM → CoroutineScope (viewModelScope ou lifecycleScope)
          └─ NÃO → Provavelmente você precisa do WorkManager mesmo assim

CoroutineWorker com Retry e Progresso

@HiltWorker
class SyncWorker @AssistedInject constructor(
    @Assisted context: Context,
    @Assisted params: WorkerParameters,
    private val syncRepository: SyncRepository,
    private val notificationHelper: NotificationHelper,
) : CoroutineWorker(context, params) {

    override suspend fun doWork(): Result {
        // Reporte progresso para observação da UI
        setProgress(workDataOf("progress" to 0))

        return try {
            val pendingItems = syncRepository.getPendingChanges()

            pendingItems.forEachIndexed { index, item ->
                syncRepository.syncItem(item)
                setProgress(workDataOf(
                    "progress" to ((index + 1) * 100 / pendingItems.size)
                ))
            }

            Result.success(workDataOf("synced" to pendingItems.size))
        } catch (e: IOException) {
            if (runAttemptCount < 3) {
                Result.retry()  // Backoff exponencial por padrão
            } else {
                Result.failure(workDataOf("error" to e.message))
            }
        }
    }

    override suspend fun getForegroundInfo(): ForegroundInfo {
        return ForegroundInfo(
            NOTIFICATION_ID,
            notificationHelper.createSyncNotification()
        )
    }
}

Agendamento com Restrições e Encadeamento

// Agende sincronização periódica a cada 1 hora (mínimo 15 min)
val syncRequest = PeriodicWorkRequestBuilder<SyncWorker>(1, TimeUnit.HOURS)
    .setConstraints(
        Constraints.Builder()
            .setRequiredNetworkType(NetworkType.CONNECTED)
            .setRequiresBatteryNotLow(true)
            .build()
    )
    .setBackoffCriteria(
        BackoffPolicy.EXPONENTIAL,
        WorkRequest.MIN_BACKOFF_MILLIS,
        TimeUnit.MILLISECONDS
    )
    .addTag("sync")
    .build()

WorkManager.getInstance(context).enqueueUniquePeriodicWork(
    "periodic-sync",
    ExistingPeriodicWorkPolicy.KEEP,  // Não reinicie se já estiver agendado
    syncRequest
)

// Encadeamento: baixar → processar → enviar (sequencial)
WorkManager.getInstance(context)
    .beginWith(downloadWork)
    .then(processWork)
    .then(uploadWork)
    .enqueue()

Anti-Padrões

  1. AlarmManager para trabalho adiável — alarmes do AlarmManager não são compatíveis com Doze e drenam a bateria. Use WorkManager, que respeita Doze, App Standby e economia de bateria.
  2. Background Service sem notificação em primeiro plano — Android 12+ mata serviços em segundo plano. Use Foreground Service com declaração de tipo adequada ou WorkManager.
  3. PeriodicWork com menos de 15 minutos — WorkManager impõe um intervalo mínimo de 15 minutos. Para trabalhos mais frequentes, use Foreground Service ou corrotinas com consciência de ciclo de vida.
  4. Não declarar o tipo de foreground service — Android 14+ exige foregroundServiceType explícito no manifesto. Omiti-lo causa SecurityException.
  5. Ignorar observação do trabalho — iniciar o trabalho sem mostrar progresso aos usuários. Observe WorkInfo via getWorkInfoByIdLiveData() ou getWorkInfoByIdFlow() para atualizar a UI.

Checklist de Qualidade

[ ] WorkManager usado para tarefas adiáveis em segundo plano (não AlarmManager)
[ ] Foreground Service declarado com o tipo correto no AndroidManifest
[ ] Restrições configuradas (rede, bateria, armazenamento)
[ ] Política de retry com backoff para falhas transitórias
[ ] Política de trabalho único definida para trabalho periódico/único
[ ] Progresso do trabalho observável a partir da UI
[ ] Modo Doze testado via adb: `adb shell dumpsys deviceidle force-idle`
[ ] Otimização de bateria testada: `adb shell am set-inactive <package> true`
[ ] Workers testados com TestWorkerBuilder
[ ] Canais de notificação criados para notificações de foreground service
[ ] Cadeias de trabalho lidam com falhas parciais de forma graciosa
[ ] Trabalho em segundo plano respeita a preferência do usuário por economia de bateria

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

curiositech/windags-skills

Expert in 2000s-era music visualization (Milkdrop, AVS, Geiss) and modern WebGL implementations. Specializes in Butterchurn integration, Web Audio API AnalyserNode FFT data, GLSL shaders for audio-reactive visuals, and psychedelic generative art. Activate on "Milkdrop", "music visualization", "WebGL visualizer", "Butterchurn", "audio reactive", "FFT visualization", "spectrum analyzer". NOT for simple bar charts/waveforms (use basic canvas), video editing, or non-audio visuals.

curiositech/windags-skills

Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.

curiositech/windags-skills

Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).

curiositech/windags-skills

Implement WCAG 2.2 AA/AAA compliance with automated testing, keyboard navigation, screen reader support, and focus management. Activate on: accessibility audit, WCAG compliance, keyboard navigation, screen reader, aria attributes, axe-core, focus trap. NOT for: design-level accessibility review (use design-accessibility-auditor), color contrast only (use css-in-js-architect).

curiositech/windags-skills

Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task design, and building systems that actually work for neurodivergent minds.

curiositech/windags-skills

Designs digital experiences for ADHD brains using neuroscience research and UX principles. Expert in reducing cognitive load, time blindness solutions, dopamine-driven engagement, and compassionate design patterns. Activate on 'ADHD design', 'cognitive load', 'accessibility', 'neurodivergent UX', 'time blindness', 'dopamine-driven', 'executive function'. NOT for general accessibility (WCAG only), neurotypical UX design, or simple UI styling without ADHD context.

curiositech/windags-skills

>- Apply crisis decision-making research to agent routing, uncertainty triage, and coordination failure analysis in time-pressured systems. Use when diagnosing handoff failures, analytical paralysis, or expert judgment under incomplete information. NOT for routine coding, simple CRUD design, or static single-agent tasks with complete information.

curiositech/windags-skills

Extend and modify the admin dashboard, developer portal, and operations console. Use when adding new admin tabs, metrics, monitoring features, or internal tools. Activates for dashboard development, analytics, user management, and internal tooling.

curiositech/windags-skills

Conversation patterns and interaction protocols for multi-agent systems. Covers request/response, pub/sub, blackboard, delegation chains, debate, critique, consensus, fan-out/fan-in, supervisor-worker, and peer negotiation. Deep analysis of AutoGen conversation patterns, CrewAI delegation, LangGraph state passing, and FIPA-ACL performatives. Teaches how to design what agents say to each other and in what order. Activate on: "agent conversation", "agent protocol", "multi-agent debate", "agent delegation", "supervisor worker pattern", "agent voting", "consensus protocol", "fan-out fan-in", "agent negotiation", "blackboard pattern", "agent dialogue", "conversation topology", "agent handoff". NOT for: wire format or serialization (use agent-interchange-formats), orchestration infrastructure (use agentic-infrastructure-2026), single agent behavior (use agentic-patterns).

curiositech/windags-skills

Meta-agent for creating new custom agents, skills, and MCP integrations. Expert in agent design, MCP development, skill architecture, and rapid prototyping. Activate on 'create agent', 'new skill', 'MCP server', 'custom tool', 'agent design'. NOT for using existing agents (invoke them directly), general coding (use language-specific skills), or infrastructure setup (use deployment-engineer).

curiositech/windags-skills

AI-powered calendar management and agent-based scheduling coordination. Covers calendar APIs (Google Calendar, CalDAV/iCal), AI scheduling assistants (Reclaim, Clockwise, Motion, Cal.com), building custom calendar agents with MCP, multi-calendar merging, timezone management, focus block protection, meeting fatigue detection, and agent-to-agent meeting negotiation protocols. Activate on: "calendar agent", "AI scheduling", "calendar coordination", "meeting scheduling", "calendar API", "focus time protection", "calendar optimization", "Google Calendar MCP", "Reclaim", "Clockwise", "Motion", "Cal.com", "smart scheduling", "calendar-aware agent", "timezone scheduling", "agent negotiation meetings". NOT for: manual calendar UI component design (use form-validation-architect), project management scheduling or Gantt charts (use project-management-guru-adhd), general time-tracking or pomodoro apps (use adhd-daily-planner for time-awareness), building the agent itself from scratch (use agent-creator).

curiositech/windags-skills

Build and adopt production AI agent infrastructure in 2026. Covers framework selection (LangGraph, CrewAI, AutoGen, MCP), orchestration patterns, evaluation, observability, memory systems, and tool use. Also covers the SOCIAL dimension: how to sell agent infrastructure internally, change management, measuring ROI, building trust in autonomous systems, and scaling adoption across teams. Activate on: "agent infrastructure", "agent framework comparison", "which agent framework", "sell AI tools internally", "agent adoption", "agent observability", "agent evaluation", "MCP architecture", "agentic mesh", "enterprise AI agents", "AI change management", "agent ROI". NOT for: building specific agents (use ai-engineer), designing agent behavior patterns (use agentic-patterns), prompt tuning (use prompt-engineer).

curiositech/windags-skills

Fundamental patterns for effective agentic behavior. Teaches decomposition, tool orchestration, error recovery, context management, quality self-assessment, and knowing when to stop. Model-agnostic principles that make any agent more effective regardless of domain. Activate on: "how should I structure this agent", "agentic workflow", "agent patterns", "multi-step task", "tool orchestration", "/agentic-patterns", "decompose this", "agent best practices", "chain of actions", "when should the agent stop", "agent loop design". NOT for: creating agent infrastructure (use agent-creator), building DAGs (use windags-architect), specific tool implementation.

curiositech/windags-skills

Automated discovery and matching of agent skills for dynamic task routing and capability assessment

curiositech/windags-skills

Cryptographic security for agentic systems — zero-trust agent networking, signed message envelopes (JWS/JWE), capability-based security (ocaps), Merkle tree audit trails, WASM sandboxing, and formal verification. Covers CLI dev tool security, mTLS between agents, permission boundaries (least privilege for AI agents), and supply chain security for skills/plugins. Activate on: "agent security", "zero trust agents", "secure agent communication", "capability-based security", "ocap", "signed messages between agents", "agent audit trail", "sandbox agent execution", "agent permissions", "mTLS agents", "cryptographic verification", "agent supply chain", "OWASP agentic", "prove agent did X", "tamper-proof agent logs". NOT for: application-level SAST scanning (use security-auditor), network firewall rules (use infrastructure), SOC2/HIPAA compliance (organizational), or prompt injection defense (use prompt-engineer).

curiositech/windags-skills

Data structures and serialization formats for agent-to-agent communication. Covers message envelopes, structured output schemas, capability declarations, task handoff payloads, error/retry signaling, and context windows as data structures. Deep comparison of A2A protocol, MCP, OpenAI function calling, and LangChain message types. Teaches when to use rigid schemas vs free-form with validation, typed vs untyped, streaming vs batch. Activate on: "agent message format", "agent communication schema", "agent-to-agent protocol", "A2A protocol", "MCP message format", "structured output for agents", "agent interop", "interchange format", "agent serialization", "task handoff format", "capability declaration". NOT for: what agents say to each other (use agent-conversation-protocols), orchestration topology (use multi-agent-coordination), building agent infrastructure (use agentic-infrastructure-2026).

curiositech/windags-skills

Logic-based agent programming language implementing BDI architecture for practical autonomous agent development

curiositech/windags-skills

>- Design AgentSpeak(L)-style BDI agents with context-guarded plans, selection functions, and intention stacks. Use for interruptible autonomy, agent policy, and multi-agent orchestration in dynamic environments. NOT for simple rule engines, static planners, or centralized workflows.

curiositech/windags-skills

Foundational concurrent computation model where actors communicate exclusively through asynchronous message passing

curiositech/windags-skills

license: Apache-2.0 NOT for unrelated tasks outside this domain.

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