Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generate professional data reports (HTML/PDF-ready) with KPI summaries, charts, tables, executive insights, and recommendations from CSV, Excel, or JSON data...
Generate professional data reports (HTML/PDF-ready) with KPI summaries, charts, tables, executive insights, and recommendations from CSV, Excel, or JSON data...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Create clean, decision-ready reports from structured data files or user-described datasets. Prioritize business readability: clear KPIs, trend visuals, concise narrative insights, and practical recommendations.
Validate input data source (CSV/XLSX/JSON or user-provided schema description). Identify report goal and audience (executive summary vs operational detail). Compute KPIs and trends relevant to the goal. Generate visuals (bar + line at minimum; add breakdown charts as needed). Produce formatted report sections in this order: Executive summary KPI dashboard Detailed analysis Charts/tables Recommendations Sanity-check numbers and narrative consistency before returning deliverable.
Use this canonical structure unless user asks otherwise: report = { "title": "Monthly Sales Report", "period": "January 2024", "sections": [ "executive_summary", "kpi_dashboard", "detailed_analysis", "charts", "recommendations", ], }
Use these by default when fields exist; adapt names via user mapping when needed: Revenue total / average Order count and average order value Growth rate (period-over-period) Top category/product/customer by contribution Trend direction (up/down/flat)
Keep narrative concise and business-facing. Highlight 3-5 key findings max in executive summary. Flag missing/dirty data explicitly. Never claim causality without supporting data.
Use scripts/generate_report.py for deterministic report generation. Use references/report-templates.md for section templates and phrasing patterns. Use references/chart-guidelines.md for chart selection and formatting standards.
Data access, storage, extraction, analysis, reporting, and insight generation.
Largest current source with strong distribution and engagement signals.