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Budibase Open Source Low-Code Operations App Platform

Name: Budibase Open Source Low-Code Operations App Platform
Author: Community

Budibase is an open-source low-code platform for internal apps, forms, portals, and approvals. It gives agents a practical way to stand up operational tools on top of PostgreSQL, REST APIs, and other business data sources with self-hosted deployment options.

O que é Budibase Open Source Low-Code Operations App Platform?

Budibase Open Source Low-Code Operations App Platform is a Claude Code agent skill that budibase is an open-source low-code platform for internal apps, forms, portals, and approvals. It gives agents a practical way to stand up operational tools on top of PostgreSQL, REST APIs, and other business data sources with self-hosted deployment options.

Funciona com~Claude Code~Codex CLI~Cursor

npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/budibase-open-source-low-code-operations-app-platform

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Documentação

O que Budibase Open Source Low-Code Operations App Platform faz?

Installation

Requirements and caveats from upstream:

Get started - you host (Docker, K8s, DO)

Basic usage or getting-started notes:

AI Agents that run your operations
Run your operations on one platform
Operations your team can run with AI agents
Source: https://github.com/Budibase/budibase
Extracted from upstream docs: https://raw.githubusercontent.com/Budibase/budibase/HEAD/README.md

Source

Agent Skill Exchange

Individual skills in this repo

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

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Add a browser review checkpoint before risky agent actions with

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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

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

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

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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 temporal context memory to agent workflows with Zep

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Calls Adobe Firefly