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React-Agent-Chat-Oberflächen mit assistant-ui erstellen

Nutzen Sie assistant-ui, um produktionsreife React-Chat-Oberflächen mit wiederverwendbaren Threads, Runtimes, Nachrichtenkomponenten und Modell-/Provider-Adaptern zu erstellen.

Was ist React-Agent-Chat-Oberflächen mit assistant-ui erstellen?

Dieser Skill ermöglicht Entwicklern, mithilfe von assistant-ui leistungsstarke und produktionsreife Chat-Oberflächen für KI-Agenten in React zu erstellen. Er bietet wiederverwendbare Komponenten wie Threads, Runtimes, Nachrichtenkomponenten und Modell-/Provider-Adapter, die eine schnelle Integration mit verschiedenen Backend-Modellen oder Agenten-Endpunkten erlauben. Der Skill unterstützt sowohl die Einrichtung neuer Projekte als auch die Integration in bestehende React-Anwendungen, insbesondere über die CLI oder direkte Paketinstallation. Entwickler können sofort mit dem Bauen beginnen, indem sie das Starter-Kit nutzen oder die Basisbibliotheken wie @assistant-ui/react und @assistant-ui/react-ai-sdk installieren.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/build-react-agent-chat-interfaces-with-assistant-ui
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Dokumentation

Was macht React-Agent-Chat-Oberflächen mit assistant-ui erstellen?

Nutzen Sie assistant-ui, um produktionsreife React-Chat-Oberflächen mit wiederverwendbaren Threads, Runtimes, Nachrichtenkomponenten und Modell-/Provider-Adaptern zu erstellen.

Voraussetzungen

React-Anwendung, @assistant-ui/react, Laufzeit-Adapter wie @assistant-ui/react-ai-sdk, Backend-Modell oder Agenten-Endpunkt

Installation

Verwenden Sie den Upstream-Installations- oder Einrichtungspfad, der Ihrer Umgebung entspricht:

  • npx assistant-ui@latest create # neues Projekt
  • npx assistant-ui@latest init # zu bestehendem Projekt hinzufügen
  • npm install @assistant-ui/react @assistant-ui/react-ai-sdk

Grundlegende Nutzung oder erste Schritte:

Dokumentation

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 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.

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Add multimodal lifelong memory to MCP and Python agents with Sim

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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.

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