
Use this skill when designing or implementing enterprise-facing frontend pages, dashboards, admin platforms, configuration workbenches, or data visualizations for opendataagent and similar SaaS products that should feel professional, restrained, information-dense, and implementation-ready.
A minimal smoke skill used to verify that opendataagent can load bundled skills and surface them during chat.
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.
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.
A minimal smoke skill used to verify that opendataagent can load bundled skills and surface them during chat.
Use this built-in skill for Chinese OpenDataWorks intelligent-query and NL2SQL work: platform metadata, workflow, lineage, datasource routing, generic table discovery, read-only SQL generation/execution, metric explanation, and chart-oriented answers across MySQL and Doris. Use it whenever the user asks for 数据问答、取数、统计、对比、趋势、占比、明细、诊断、血缘排查、指标口径、术语解释 or SQL 示例 on OpenDataWorks or managed tables. Prefer MCP-first via portal-mcp when `mcp__portal__portal_*` tools are visible, and fall back to the built-in CLI/scripts only when MCP is unavailable. Prefer platform terms and generic data-platform rules; do not assume tenant-specific business terminology, business environment defaults, or hidden business knowledge.
Use this built-in skill for OpenDataWorks platform metadata, lineage, datasource resolution, and DDL lookup. This skill does not execute SQL for data analysis.
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.