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Optimiseur de DAG Argo Workflows

Analyse les modèles de DAG Argo Workflows pour identifier les opportunités de parallélisation. Utilise l'API du serveur Argo pour récupérer l'historique d'exécution des workflows et l'analyse du chemin critique.

Qu'est-ce que Optimiseur de DAG Argo Workflows ?

Ce skill est conçu pour les développeurs et les ingénieurs DevOps qui utilisent Argo Workflows sur Kubernetes afin d'optimiser leurs pipelines de traitement de données et d'apprentissage automatique. Il analyse les modèles de DAG (graphes acycliques dirigés) pour détecter les goulots d'étranglement et recommander des parallélisations, en s'appuyant sur l'historique d'exécution récupéré via l'API du serveur Argo. Compatible avec les clients Hera (Python), Java, Golang et Typescript (Juno), il permet d'exécuter des tâches intensives en une fraction du temps. Le skill aide également à configurer l'ordonnancement (affinité, tolérances, sélecteurs de nœuds) et fonctionne sur n'importe quel cluster Kubernetes, rendant les workflows cloud-agnostiques.

Compatible avec~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/argo-workflows-dag-optimizer
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Documentation

Que fait Optimiseur de DAG Argo Workflows ?

Analyse les modèles de DAG Argo Workflows pour identifier les opportunités de parallélisation. Utilise l'API du serveur Argo pour récupérer l'historique d'exécution des workflows et l'analyse du chemin critique.

Installation

Exigences et mises en garde en amont :

Notes d'utilisation de base ou de démarrage :

Source

Individual skills in this repo

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

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ActivityWatch Cross-Platform Automated Time Tracker and Producti

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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

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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

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Add persistent project memory and hook-driven synthesis with Cla

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Add Postgres-native vector retrieval to agent and RAG workflows

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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.

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