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Bubble Tea Go TUI Framework von Charmbracelet

Bubble Tea ist ein leistungsstarkes Go-Framework zum Erstellen von Terminal-Benutzeroberflächen, das auf der Elm-Architektur basiert. Entwickelt von Charmbracelet, unterstützt es Inline-, Vollbild- und gemischte TUI-Anwendungen mit einem hochperformanten, zellenbasierten Renderer und deklarativen Ansichten.

Was ist Bubble Tea Go TUI Framework von Charmbracelet?

Bubble Tea ist ein Go-Framework für den Bau von Terminal User Interfaces (TUI), das von der Elm-Architektur inspiriert ist. Es wurde von Charmbracelet entwickelt und ermöglicht Entwicklern, ansprechende und reaktionsschnelle TUI-Anwendungen zu erstellen, die in Inline-, Vollbild- oder gemischten Modi laufen. Der Kern des Frameworks ist ein zellenbasierter Renderer, der eine hohe Leistung bietet, sowie ein deklaratives Ansichtssystem, das die UI-Entwicklung vereinfacht und strukturiert. Bubble Tea wird hauptsächlich in Go-Projekten eingesetzt und unterstützt verschiedene Betriebssysteme. Es ist nützlich für Entwickler, die interaktive Kommandozeilen-Tools, Texteditoren oder andere Terminalschnittstellen erstellen möchten, ohne sich mit den niedrigen Details der Terminalsteuerung herumschlagen zu müssen.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/bubble-tea-go-tui-framework
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Bubble Tea Go TUI Framework von Charmbracelet preview
Bubble Tea Go TUI Framework von Charmbracelet preview

Dokumentation

Was macht Bubble Tea Go TUI Framework von Charmbracelet?

Bubble Tea ist ein leistungsstarkes Go-Framework zum Erstellen von Terminal-Benutzeroberflächen, das auf der Elm-Architektur basiert. Entwickelt von Charmbracelet, unterstützt es Inline-, Vollbild- und gemischte TUI-Anwendungen mit einem hochperformanten, zellenbasierten Renderer und deklarativen Ansichten.

Installation

Grundlegende Nutzung oder Einstiegsnotizen:

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

act is an open-source CLI tool that runs GitHub Actions workflows locally using Docker, enabling fast feedback on workflow changes without pushing to GitHub. It is a standard tool for local Actions development and testing.

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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.

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.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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