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Argo Workflows DAG-Optimierer

Analysiert Argo Workflows DAG-Vorlagen, um Parallelisierungsmöglichkeiten zu identifizieren. Nutzt die Argo Server API, um Workflow-Ausführungsverlauf und kritische Pfadanalysen abzurufen.

Was ist Argo Workflows DAG-Optimierer?

Dieser Skill optimiert Argo Workflows DAG-Vorlagen, indem er Parallelisierungschancen aufdeckt, die bisher ungenutzt blieben. Dazu ruft er über die Argo Server API den Ausführungsverlauf ab und führt eine kritische Pfadanalyse durch. Der Skill unterstützt verschiedene Programmiersprachen-Clients, darunter Python (Hera SDK), Java, Golang und TypeScript (Juno), und kann auf jedem Kubernetes-Cluster ausgeführt werden. Er eignet sich besonders für rechenintensive Machine-Learning- oder Datenverarbeitungsaufgaben, die mit Argo Workflows in deutlich kürzerer Zeit erledigt werden können.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/argo-workflows-dag-optimizer
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Dokumentation

Was macht Argo Workflows DAG-Optimierer?

Analysiert Argo Workflows DAG-Vorlagen, um Parallelisierungsmöglichkeiten zu identifizieren. Nutzt die Argo Server API, um Workflow-Ausführungsverlauf und kritische Pfadanalysen abzurufen.

Installation

Anforderungen und Hinweise aus dem Upstream-Projekt:

Grundlegende Verwendung oder erste Schritte:

Quelle

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.

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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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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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