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Agent-gewartete reaktive UI mit ArrowJS erstellen

Verwenden Sie ArrowJS, wenn ein Codierungs-Agent kleine reaktive Weboberflächen mit DOM-nativem JavaScript, Template-Literalen, SSR/Hydratationspaketen und optionaler WASM-Sandbox hinzufügen oder warten muss.

Was ist Agent-gewartete reaktive UI mit ArrowJS erstellen?

Dieser Skill befähigt KI-Agenten (wie Claude Code, Cursor, Codex), kleine, reaktive Weboberflächen zu erstellen und zu warten, die vollständig auf DOM-nativem JavaScript und Template-Literalen basieren – ohne schweres Framework. ArrowJS ist ideal für Agenten, die schnelle, überschaubare UIs ohne Build-Tool-Komplexität benötigen, und unterstützt serverseitiges Rendering (SSR), Hydratation sowie optionale WebAssembly-Sandboxing-Pakete. Der Skill bietet Installationsanleitungen über `npx @arrow-js/skill` oder `pnpm create arrow-js@latest` und verweist auf die zentrale Dokumentation unter arrow-js.com. Er ist plattformunabhängig und eignet sich besonders für Projekte, in denen ein Agent selbstständig Komponenten hinzufügen oder bestehende reaktive Schnittstellen warten muss.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/build-agent-maintainable-reactive-ui-with-arrowjs
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Dokumentation

Was macht Agent-gewartete reaktive UI mit ArrowJS erstellen?

Verwenden Sie ArrowJS, wenn ein Codierungs-Agent kleine reaktive Weboberflächen mit DOM-nativem JavaScript, Template-Literalen, SSR/Hydratationspaketen und optionaler WASM-Sandbox hinzufügen oder warten muss.

Voraussetzungen

Node.js, npm oder pnpm, Codierungs-Agent, Browser-Projekt

Installation

Installieren oder richten Sie es gemäß den quellgestützten Anweisungen ein:

Für einen agentenorientierten Setup führen Sie npx @arrow-js/skill im Zielprojekt aus und folgen Sie den generierten Anleitungen. Für manuelle Installationen verwenden Sie pnpm create arrow-js@latest für eine neue App oder installieren Sie @arrow-js/core sowie optional die Pakete @arrow-js/framework, @arrow-js/ssr, @arrow-js/hydrate und @arrow-js/sandbox gemäß der upstream-Dokumentation.

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.

Add IDE-style semantic code navigation and symbol-safe refactors

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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.

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

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Add temporal context memory to agent workflows with Zep

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