Use this skill for quantitative product or business analysis: data quality checks, metric diagnostics, KPI design and reporting, dashboards, analytical reports, charts, notebooks, market sizing, semantic layers, and evidence-backed recommendations. Also use it whenever Data Analytics is explicitly invoked.
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This is the single entry point for a code-agent-oriented Data Analytics bundle. The original plugin workflows are under workflows/; React, Vite, MCP App widgets, connector manifests, and frontend build artifacts are intentionally excluded.
workflows/index/SKILL.md completely. Treat it as the authoritative plugin-level eligibility and analytical routing policy, except where its UI/runtime delivery rules conflict with the code-agent overrides below.SKILL.md completely before acting.Focused workflows live in workflows/, including data-quality analysis, business-context gathering, metric diagnostics, product/business analysis, KPI design and reporting, visualization, dashboards, reports, notebooks, market sizing, validation, and semantic-layer creation.
Use data sources and tools only when the host harness exposes them. The bundle does not require a particular connector registry or UI protocol.
These rules take precedence over MCP App, widget, native Work Mode, and packaged Recharts delivery rules inherited from the original workflows:
render_artifact, render_chart, render_table, validate_artifact, export_artifact_package, charts_widget_v2, or app_block unless the user independently provides an equivalent tool and explicitly requests it.src/, assets/, MCP specifications, HTML runtime helpers, or widget resources.ff87d47
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.