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Controlar dispositivos Android com um agente de IA no dispositi…

Execute um loop de controle Android no dispositivo que inspeciona telas e realiza ações em aplicativos localmente para automação móvel e fluxos de trabalho de teste.

O que é Controlar dispositivos Android com um agente de IA no dispositi…?

Esta skill permite que agentes de IA (como Claude Code, Cursor ou Codex) controlem dispositivos Android diretamente no dispositivo, usando o PokeClaw. Ela inspeciona a tela do dispositivo e executa ações em aplicativos localmente, sem necessidade de um computador conectado durante a execução das tarefas. Ideal para automação móvel e testes, a skill suporta modelos on-device como Gemma 4 para privacidade e baixa latência, além de modelos em nuvem para tarefas mais complexas que exigem raciocínio avançado. Ela se baseia em projetos como DroidRun/Mobilerun e mini tap/mobile-use, oferecendo uma interface unificada para controle de dispositivos Android via ADB, portal APK e Android Accessibility.

Funciona com~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/control-android-devices-with-an-on-device-ai-agent-using-pokeclaw
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Documentação

Controlar dispositivos Android com um agente de IA no dispositivo usando PokeClaw

Execute um loop de controle Android no dispositivo que inspeciona telas e realiza ações em aplicativos localmente para automação móvel e fluxos de trabalho de teste.

Pré-requisitos

PokeClaw; dispositivo Android ou emulador; dependências de tempo de execução documentadas no projeto

Instalação

Requisitos e observações dos projetos originais:

  • DroidRun/Mobilerun (execução local/código aberto) roda o loop do agente em um CLI/contêiner Python em uma máquina host e se comunica com um Portal APK via ADB/encaminhamento de porta. O Portal APK usa a Acessibilidade do Android para árvore/gestos/...
  • minitap/mobile-use, Mobile-Agent, AppAgent e AppAgentX são SDKs/estruturas de pesquisa externas que normalmente exigem Python mais ADB, UIAutomator, capturas de tela, Docker, telefones em nuvem ou serviços de modelo/API do lado do host.
  • não requer um computador conectado enquanto as tarefas são executadas

Notas de uso básico ou primeiros passos:

Documentação

Fonte

Individual skills in this repo

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

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act Local GitHub Actions Runner

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Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

Add multimodal lifelong memory to MCP and Python agents with Sim

Use SimpleMem to store, compress, index, and retrieve text or multimodal memories for agents through MCP or Python integrations.

Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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