بنقرة واحدة
report
Generate a comprehensive Markdown analysis report with findings, charts, and recommendations
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Generate a comprehensive Markdown analysis report with findings, charts, and recommendations
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
Full agentic analysis pipeline — ingest, clean, analyze, visualize, report, and dashboard from any data
Clean and transform data files — fix types, handle missing values, remove duplicates
Build a standalone interactive HTML dashboard with Chart.js from any dataset
Profile data files — row counts, column types, missing values, duplicates, statistics
Ask natural language questions about your data and get answers with evidence
Generate charts and plots from data — line, bar, pie, heatmap, scatter, histogram
استنادا إلى تصنيف SOC المهني
| name | report |
| description | Generate a comprehensive Markdown analysis report with findings, charts, and recommendations |
| argument-hint | [dataset-name] [optional-focus] |
| risk | safe |
| disable-model-invocation | false |
| user-invocable | true |
| allowed-tools | Read, Write, Edit, Bash, Glob, Grep |
| model | claude-sonnet-4-6 |
| context | fork |
| agent | general-purpose |
Generate a publication-ready Markdown analysis report from any dataset.
Runs the Data Engineer → Statistician → Reporter → Strategist pipeline. Reads from input/<dataset>/, produces output/<dataset>/report.md with executive summary, key findings, embedded charts, and actionable recommendations.
Parse $ARGUMENTS to get dataset name.
input/<dataset-name>/output/<dataset-name>/report.md (plus charts and supporting files)input/<dataset>/:analyze Phase 1)output/<dataset>/cleaned-data/output/<dataset>/insights.jsonoutput/<dataset>/charts/output/<dataset>/report.md with this structure:# Data Analysis Report
> Generated by **10x Analyst** | {date} | Source: input/{dataset}
## Executive Summary
- {Finding 1: metric + direction + magnitude}
- {Finding 2}
- {Finding 3}
## Data Overview
| Metric | Value |
|--------|-------|
| Files | {count} |
| Records | {count} |
| Date Range | {range} |
| Quality | {score}% |
## Key Findings
### 1. {Headline}
{Explanation with numbers}

**Implication:** {Business meaning}
### 2. {Headline}
...
## Recommendations
1. **{Action}** — Based on Finding #X -> Expected impact: {outcome}
2. ...
## Methodology
{Tools, methods, assumptions, limitations}
## Appendix
{Full statistics, data dictionary}
Prioritize insights by business impact (P0-P3)
Refine recommendations with expected outcomes
Add executive brief section
Present report location and top insights to user
/10x-analyst:report shopify-data
/10x-analyst:report shopify-data "focus on customer retention"
:dashboard for HTML)output/<dataset>/ directoryDeveloped by 10x.in | 10x-Analyst v1.0.0