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Apache Superset 대시보드 및 SQL 탐색 스킬

Apache Superset은 널리 사용되는 오픈소스 BI 플랫폼으로, SQL 탐색, 차트 작성, 대시보드 제공을 지원합니다. 에이전트가 임시 노트북 코드 대신 성숙한 분석 인터페이스를 사용하여 데이터 웨어하우스를 쿼리하거나, 대시보드를 구성하거나, 메트릭을 설명해야 할 때 유용합니다.

Apache Superset 대시보드 및 SQL 탐색 스킬란 무엇인가요?

이 스킬은 Apache Superset을 활용하여 데이터 탐색 및 시각화를 수행하는 AI 에이전트를 위한 것입니다. Apache Superset은 SQL 지원 데이터 저장소나 데이터 엔진(Presto, Trino, Athena 등)에 연결하여 SQL 쿼리를 실행하고, 다양한 차트 유형으로 시각화하며, 대시보드를 구축할 수 있는 강력한 오픈소스 BI 플랫폼입니다. 이 스킬을 통해 에이전트는 사용자에게 일관된 분석 인터페이스를 제공하고, 복잡한 데이터 질문에 답변하며, 반복 가능한 보고서를 생성할 수 있습니다. 특히 데이터 웨어하우스에 대한 SQL 탐색, 메트릭 설명, 또는 운영 대시보드 조립 작업에서 유용하며, Claude Code, Cursor, Codex 등 다양한 AI 에이전트 플랫폼에서 사용할 수 있습니다. 설치 및 사용은 Superset의 공식 퀵스타트 가이드와 프로덕션 배포 옵션 문서를 참조하면 됩니다.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/apache-superset-dashboard-sql-exploration-skill
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즐겨 사용하는 AI에게 물어보기

이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

OpenAIChatGPTClaudeClaudeGeminiGeminiGrokGrokPerplexityPerplexityDeepSeekDeepSeek

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스킬 README에서

Build Status
PyPI

문서

Apache Superset 대시보드 및 SQL 탐색 스킬은(는) 무엇을 하나요?

Apache Superset은 널리 사용되는 오픈소스 BI 플랫폼으로, SQL 탐색, 차트 작성, 대시보드 제공을 지원합니다. 이 스킬은 에이전트가 임시 노트북 코드 대신 성숙한 분석 인터페이스를 사용하여 데이터 웨어하우스를 쿼리하거나, 대시보드를 구성하거나, 메트릭을 설명해야 할 때 유용합니다.

설치

업스트림의 요구 사항 및 주의 사항:

  • Build Status
  • PyPI
  • Superset은 Python DB-API 드라이버와 SQLAlchemy 방언이 있는 모든 SQL 기반 데이터 저장소 또는 데이터 엔진(Presto, Trino, Athena, 그 외 다수)에서 데이터를 쿼리할 수 있습니다.

기본 사용법 또는 시작 참고 사항:

출처

Individual skills in this repo

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

Academic Paper Citation Network Mapper

Builds citation networks from Semantic Scholar API and CrossRef DOI metadata. Visualizes paper influence graphs using NetworkX, identifies seminal works, and tracks research lineage across fields.

ACF Custom Fields REST Exposer

Exposes Advanced Custom Fields data through the WordPress REST API using register_rest_field and acf_format_value. Handles repeater fields, flexible content layouts, and gallery fields with proper serialization.

ACF Extended for Advanced Custom Fields Workflows

An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.

ACF to Gutenberg Block Migrator

Converts Advanced Custom Fields field groups into native Gutenberg blocks using the ACF Block API v2 and @wordpress/scripts build pipeline. Maps ACF repeaters, groups, and flexible content to InnerBlocks and block attributes with server-side rendering via acf_register_block_type().

Activepieces Open Source Workflow Automation

Activepieces is an open-source, self-hostable workflow automation platform with 200+ integrations. It provides a visual builder for creating automated workflows and exposes all its connectors as MCP servers for AI agent use.

ActivityWatch Cross-Platform Automated Time Tracker and Producti

ActivityWatch is a privacy-first, open-source automated time tracker that records application usage, browser activity, and AFK status across Windows, macOS, and Linux. With 16k+ GitHub stars, it provides detailed productivity analytics without sending data to external servers.

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.

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.

Add managed long-term memory to LangGraph agents with LangMem

Give LangGraph agents memory management and search tools so they can store, retrieve, and update durable facts across sessions.

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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