What problem does it solve?
Convert raw, structured data into clear, decision-ready reports so teams can understand outcomes, trends, and recommended actions without manual spreadsheet work or ad-hoc formatting. The Skill reduces time spent validating sources, computing metrics, drafting narrative insights, and rendering multi-format deliverables.
Core Features & Use Cases
- Ingest & Validate Data: Accept JSON, CSV, YAML, or API payloads; normalize dates, currencies, and units; flag missing fields and outliers.
- Template-driven Reports: Built-in templates for sprint retrospectives, financial summaries, analytics dashboards, incident postmortems, and weekly status reports with customizable sections and tones.
- Computed Metrics & Insights: Derive averages, percentage changes, trends, anomaly flags, and human-readable narrative explanations that link back to source data.
- Visuals & Multi-format Output: Generate chart specifications (Vega-Lite, Chart.js, Mermaid), Markdown tables, styled HTML, and printable PDFs with quality checks to ensure consistency.
- Use Case Examples: Produce a sprint retrospective from sprint JSON, generate a monthly marketing analytics report from CSV exports, or compile a financial summary with executive highlights and appendices.
Quick Start
Generate a sprint_retrospective report from sprint-14-retro.json for sprint 14 and output it as markdown.