원클릭으로 Manus에서 모든 스킬 실행

chart-visualization

Use this built-in skill for chart construction and data storytelling from structured tabular results. The workflow is organized from the AntV chart-visualization playbook, but current default output is ECharts-compatible option JSON for local rendering.

Manus에서 실행

개요

설치 명령

npx skills add https://github.com/opendata-lab/opendataworks --skill chart-visualization

이 명령을 Claude Code에 복사하여 붙여넣어 스킬을 설치하세요

출처

opendata-lab/opendataworks

스타39

포크13

업데이트2026년 4월 15일 01:44

파일 탐색기

2 개 파일

SKILL.md

readonly

name	Chart Visualization
description	Use this built-in skill for chart construction and data storytelling from structured tabular results. The workflow is organized from the AntV chart-visualization playbook, but current default output is ECharts-compatible option JSON for local rendering.
category	Generic
version	v1

Chart Visualization Skill

Use this skill when the user already has structured rows and needs a chart, trend view, or lightweight data story.

This built-in skill keeps the AntV chart-visualization workflow discipline:

choose chart type from the question and data shape
keep annotations and titles concise
preserve readable axes and legend defaults
prefer data storytelling over decorative chart output

Current default artifact:

ECharts option JSON via python3 scripts/build_echarts_option.py

Typical flow:

Prepare or fetch rows with the platform or SQL skills.
If needed, reshape locally with Python Analysis Skill.
Generate a chart option:
- python3 scripts/build_echarts_option.py --input rows.json --chart-type line --x date --y count

이 저장소의 다른 Skills

같은 저장소

opendataworks-platform-tools

opendata-lab/opendataworks

当请求需要真实 OpenDataWorks 平台能力时使用：元数据查询、表/字段发现、数据源路由、血缘、DDL、只读 SQL 验证/执行、结果格式化或图表契约输出。不用于业务语义或 NL2SQL 推理。

2026-06-0439

opendataworks-business-knowledge

opendata-lab/opendataworks

当请求需要 OpenDataWorks 平台通用业务语义时使用：元数据术语、工作流术语、血缘术语、平台指标定义、别名、歧义消解和业务规则例外。不用于领域专属本体、NL2SQL 方法或平台工具命令。

2026-05-2639

python-analysis

opendata-lab/opendataworks

Use this built-in skill for lightweight Python-based data exploration, profiling, aggregation, and file-based analysis. It does not fetch OpenDataWorks metadata on its own.

2026-04-1539

smoke

opendata-lab/opendataworks

A minimal smoke skill used to verify that opendataagent can load bundled skills and surface them during chat.

2026-04-1539

opendataworks-platform

opendata-lab/opendataworks

Use this built-in skill for OpenDataWorks platform metadata, lineage, datasource resolution, and DDL lookup. This skill does not execute SQL for data analysis.

2026-04-1539

opendataworks-readonly-sql

opendata-lab/opendataworks

Use this built-in skill to execute readonly SQL through the OpenDataWorks agent API and shared odw-cli. Guardrails such as readonly checks, datasource scope, default limit, and timeout are enforced by CLI and API.

2026-04-1539

출처

opendata-lab

opendata-lab/opendataworks

GitHub 저장소 열기 Creator 저장소 보기

설치 명령

다운로드

Manus에서 실행

유용한 대상SOC

데이터 과학자컴퓨터 및 수학직15-2051L4

name	Chart Visualization
description	Use this built-in skill for chart construction and data storytelling from structured tabular results. The workflow is organized from the AntV chart-visualization playbook, but current default output is ECharts-compatible option JSON for local rendering.
category	Generic
version	v1

Chart Visualization Skill

Use this skill when the user already has structured rows and needs a chart, trend view, or lightweight data story.

This built-in skill keeps the AntV chart-visualization workflow discipline:

choose chart type from the question and data shape
keep annotations and titles concise
preserve readable axes and legend defaults
prefer data storytelling over decorative chart output

Current default artifact:

ECharts option JSON via python3 scripts/build_echarts_option.py

Typical flow:

Prepare or fetch rows with the platform or SQL skills.
If needed, reshape locally with Python Analysis Skill.
Generate a chart option:
- python3 scripts/build_echarts_option.py --input rows.json --chart-type line --x date --y count