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Gestionnaire de tâches Apache Spark

Skill pour l'agent AI permettant de gérer et d'exécuter des tâches Apache Spark via des shells interactifs et des exemples de programmes.

Qu'est-ce que Gestionnaire de tâches Apache Spark ?

Le skill « Gestionnaire de tâches Apache Spark » permet à un agent AI d'interagir avec Apache Spark, un moteur de traitement unifié pour l'analyse de données à grande échelle. Il fournit des instructions pour préparer l'environnement (Java, Scala, Python), lancer des shells interactifs (Scala et Python) afin d'exécuter des opérations simples comme le calcul de sommes, et construire les exemples fournis avec Spark. Le skill s'appuie sur la documentation officielle d'Apache Spark et le dépôt GitHub associé. Il est utile pour les développeurs qui souhaitent automatiser la configuration, la compilation et l'exécution de tâches Spark depuis un agent AI, que ce soit pour du prototypage rapide ou des tests. Les commandes et chemins d'accès sont conservés intacts pour garantir la compatibilité.

Compatible avec~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/apache-spark-job-manager
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Documentation

Que fait Gestionnaire de tâches Apache Spark ?

Prérequis

Java, Scala, Python

Installation

Exigences et mises en garde de la source amont :

  • API de haut niveau en Scala, Java, Python et R (obsolète), ainsi qu'un moteur optimisé qui :- ## Shell interactif Python
  • Sinon, si vous préférez Python, vous pouvez utiliser le shell Python :

Notes d'utilisation de base ou de démarrage :

Documentation

Source

Individual skills in this repo

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

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ACF to Gutenberg Block Migrator

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Activepieces Open Source Workflow Automation

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ActivityWatch Cross-Platform Automated Time Tracker and Producti

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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.

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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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