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curiositech/windags-skills - Especialista en Tareas en Segundo…

Especialista en tareas en segundo plano de Android con WorkManager, Servicios en Primer Plano, modo Doze y optimización de batería. Activable con: WorkManager, tarea en segundo plano Android, Servicio en Primer Plano, Doze, optimización de batería, trabajo periódico, sincronización en segundo plano, JobScheduler. NO para: tareas en segundo plano iOS (usa swiftui-data-flow-expert), segundo plano React Native (usa mobile-offline-sync-architect), arquitectura UI (usa jetpack-compose-navigation-expert).

¿Qué es windags-skills - Especialista en Tareas en Segundo…?

Este skill está diseñado para desarrolladores Android que necesitan implementar tareas en segundo plano eficientes y robustas. Proporciona una guía completa sobre cómo usar APIs oficiales como WorkManager para trabajos diferibles, Servicios en Primer Plano para tareas visibles para el usuario, y corutinas para operaciones asíncronas cortas. El skill cubre desde la elección de la API correcta hasta la configuración de restricciones (red, batería, almacenamiento), el manejo del modo Doze y App Standby, y las mejores prácticas para evitar antipatrones comunes (como usar AlarmManager para trabajos diferibles). También incluye ejemplos de código en Kotlin con `CoroutineWorker`, encadenamiento de trabajos, políticas de reintento y observación de progreso. Es compatible con cualquier agente de IA que siga directivas markdown, como Claude Code, Cursor o Codex. El asistente guía al usuario para que seleccione la herramienta adecuada según la urgencia y duración de la tarea, y proporciona una lista de verificación de calidad para garantizar una implementación correcta.

Compatible con~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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Abre un nuevo chat con esta habilidad de agente ya precargada.

Documentación

Especialista en Tareas en Segundo Plano Android

Experto en ejecución en segundo plano de Android con WorkManager, Servicios en Primer Plano, manejo del modo Doze y procesamiento eficiente de batería.

Disparadores de Activación

Activar en: "WorkManager", "tarea en segundo plano Android", "Servicio en Primer Plano", "modo Doze", "optimización de batería", "trabajo periódico", "sincronización en segundo plano", "JobScheduler", "procesamiento en segundo plano Android"

NO para: Tareas en segundo plano iOS → swiftui-data-flow-expert | Segundo plano React Native → mobile-offline-sync-architect | Arquitectura UI → jetpack-compose-navigation-expert

Inicio Rápido

  1. Elige la API correcta — WorkManager para trabajo diferible, Servicio en Primer Plano para tareas continuas visibles al usuario, corutinas para trabajo asíncrono corto.
  2. Define los trabajadores — extiende CoroutineWorker con funciones suspend para código asíncrono limpio.
  3. Configura restricciones — tipo de red, nivel de batería, requisitos de almacenamiento.
  4. Maneja Doze y App Standby — usa WorkManager (no AlarmManager) para una planificación compatible con Doze.
  5. Prueba con adb — forza el modo Doze y verifica que el trabajo se ejecute cuando se cumplen las restricciones.

Capacidades Principales

DominioTecnologías
Trabajo DiferibleWorkManager 2.10, OneTimeWorkRequest, PeriodicWorkRequest
Primer PlanoTipos de Servicio en Primer Plano (dataSync, location, mediaPlayback, shortService)
RestriccionesNetworkType, BatteryNotLow, StorageNotLow, DeviceIdle
EncadenamientoWorkContinuation, cadenas paralelas, políticas de trabajo único
PruebasTestWorkerBuilder, TestListenableWorkerBuilder, WorkManagerTestInitHelper

Patrones de Arquitectura

Árbol de Decisión de WorkManager

¿La tarea la inicia el usuario y necesita completarse?
  ├─ SÍ → ¿Es corta (< 10 min)?
  │   ├─ SÍ → Servicio en Primer Plano (tipo shortService)
  │   └─ NO → Servicio en Primer Plano (dataSync, location, etc.)
  │
  └─ NO → ¿Es diferible?
      ├─ SÍ → WorkManager
      │   ├─ ¿Una vez? → OneTimeWorkRequest
      │   └─ ¿Periódico? → PeriodicWorkRequest (intervalo mínimo 15 min)
      │
      └─ NO → ¿Ocurre mientras la app está visible?
          ├─ SÍ → CoroutineScope (viewModelScope o lifecycleScope)
          └─ NO → Probablemente necesitas WorkManager de todas formas

CoroutineWorker con Reintento y Progreso

@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 {
        // Reportar progreso para observación desde la 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()  // Retroceso exponencial por defecto
            } else {
                Result.failure(workDataOf("error" to e.message))
            }
        }
    }

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

Planificación con Restricciones y Encadenamiento

// Programar sincronización periódica 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,  // No reiniciar si ya está programado
    syncRequest
)

// Cadena: descargar → procesar → subir (secuencial)
WorkManager.getInstance(context)
    .beginWith(downloadWork)
    .then(processWork)
    .then(uploadWork)
    .enqueue()

Antipatrones

  1. AlarmManager para trabajo diferible — Las alarmas de AlarmManager no son compatibles con Doze y agotan la batería. Usa WorkManager, que respeta Doze, App Standby y el ahorro de batería.
  2. Servicio en Segundo Plano sin notificación en primer plano — Android 12+ elimina los servicios en segundo plano. Usa Servicio en Primer Plano con declaración de tipo adecuada o WorkManager.
  3. PeriodicWork con menos de 15 minutos — WorkManager impone un intervalo mínimo de 15 minutos. Para trabajo más frecuente, usa Servicio en Primer Plano o corutinas con conciencia del ciclo de vida.
  4. No declarar el tipo de servicio en primer plano — Android 14+ requiere foregroundServiceType explícito en el manifiesto. Omitirlo provoca SecurityException.
  5. Ignorar la observación del trabajo — iniciar trabajo pero no mostrar progreso al usuario. Observa WorkInfo mediante getWorkInfoByIdLiveData() o getWorkInfoByIdFlow() para actualizar la UI.

Lista de Verificación de Calidad

[ ] Se usó WorkManager para tareas en segundo plano diferibles (no AlarmManager)
[ ] El Servicio en Primer Plano se declaró con el tipo correcto en AndroidManifest
[ ] Se configuraron restricciones (red, batería, almacenamiento)
[ ] Política de reintento con retroceso para fallos transitorios
[ ] Se estableció política de trabajo único para trabajo periódico/de una vez
[ ] El progreso del trabajo es observable desde la UI
[ ] Se probó el modo Doze mediante adb: `adb shell dumpsys deviceidle force-idle`
[ ] Se probó la optimización de batería: `adb shell am set-inactive <paquete> true`
[ ] Los trabajadores se probaron con TestWorkerBuilder
[ ] Se crearon canales de notificación para las notificaciones del Servicio en Primer Plano
[ ] Las cadenas de trabajo manejan fallos parciales con gracia
[ ] El trabajo en segundo plano respeta la preferencia de ahorro de batería del usuario

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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