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BullMQ : File d'attente et processeur de tâches basé sur Redis…

BullMQ est la file d'attente distribuée la plus rapide et la plus fiable basée sur Redis pour Node.js, Python, Elixir et PHP. Elle offre files d'attente prioritaires, limitation de débit, tâches différées, dépendances parent-enfant, tâches répétables et workers isolés pour le traitement en arrière-plan à grande échelle.

Qu'est-ce que BullMQ : File d'attente et processeur de tâches basé sur Redis… ?

BullMQ est une file d'attente de messages et un processeur de tâches distribués, basés sur Redis, conçus pour Node.js mais également disponibles pour Python, Elixir et PHP. Ce skill permet aux agents IA (tels que Claude Code, Cursor ou Codex) d'interagir avec BullMQ pour gérer des files d'attente de tâches complexes : priorisation, limitation de débit, planification différée, répétition automatique, et exécution de tâches enfants. Il s'appuie sur l'installation du package `bullmq` via `yarn add bullmq` et fournit un accès à la documentation officielle via bullmq.io. Idéal pour les workflows de traitement asynchrone, les jobs batch, la gestion de dépendances entre tâches et l'isolation des workers en environnement sandboxé.

Compatible avec~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/bullmq-redis-message-queue-job-processor-nodejs
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Documentation

BullMQ : File d'attente et processeur de tâches basé sur Redis pour Node.js

BullMQ est la file d'attente distribuée la plus rapide et la plus fiable basée sur Redis pour Node.js, Python, Elixir et PHP. Elle offre files d'attente prioritaires, limitation de débit, tâches différées, dépendances parent-enfant, tâches répétables et workers isolés pour le traitement en arrière-plan à grande échelle.

Installation

Utilisez la commande d'installation standard correspondant à votre environnement :

  • $ yarn add bullmq

Configuration requise et remarques :

  • La file d'attente distribuée la plus rapide et la plus fiable, basée sur Redis pour Node.
  • Avez-vous besoin d'utiliser BullMQ sur d'autres plateformes que Node.js ? Consultez le BullMQ Proxy

Notes de prise en main rapide :

Documentation

Source

Individual skills in this repo

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

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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

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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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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

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