data-pro-max
npx skills add https://github.com/pablodiegoo/data-pro-skill --skill data-pro-max
Agent 安装分布
Skill 文档
Data Pro Max – Data Analysis Intelligence
An AI orchestrator that provides intelligent recommendations for data analysis, visualization, and reporting. It automatically activates for data-intensive tasks and coordinates specialized sub-skills.
1. Integrated Skill Cores
Data Pro Max coordinates these specialized skills:
| Core Skill | Functionality | Location |
|---|---|---|
data-manipulation |
T-Layer (Preparation, Weights, Map) | ð¦ data/skills/ |
data-analysis-suite |
All Stats, Causal & Science | ð¦ data/skills/ |
geoprocessing-brazil |
Geo-spatial & Mapping | ð¦ data/skills/ |
data-viz |
Statistical Visualization | ð¦ data/skills/ |
document-converter |
Format Conversion (Import/Export) | ð¦ data/skills/ |
duckdb-sql-master |
High-performance SQL on local files | ð¦ data/skills/ |
time-series-analysis |
Validation & metrics for sequence data | ð¦ data/skills/ |
clustering-toolkit |
Advanced PCA+DBSCAN grouping | ð¦ data/skills/ |
context-optimizer |
Document decomposition into .agent | ð¦ data/skills/ |
Shared Skills (deployed via manifest)
| Skill | Purpose | Location |
|---|---|---|
brainstorming |
Creative ideation & design | ð .agent/skills/ â manifest |
document-mastery |
Writing quality & Mermaid diagrams | ð .agent/skills/ â manifest |
Agent-Only Skills (NOT deployed)
| Skill | Purpose | Location |
|---|---|---|
skill-creator |
Creating and packaging new skills | ð .agent/skills/ |
notebooklm |
Querying Google NotebookLM notebooks | ð .agent/skills/ |
2. Master Workflows (Slash Commands)
| Command | Workflow | Location |
|---|---|---|
/project-onboarding |
Initial setup & rules | ð¦ Packaged (datapro setup) |
/survey-analysis-pipeline |
End-to-end execution | ð¦ Packaged (datapro setup) |
/project-harvest |
Learning extraction â assets/harvest/ |
ð¦ Packaged (datapro setup) |
/document-study |
Deep analysis of papers/methodology | ð¦ Packaged (datapro setup) |
/notebook-generation |
Dual-layered automated notebook reporting | ð¦ Packaged (datapro setup) |
/project-evolution |
Absorb harvest into Data-Pro-Skill | ð Local (this repo only) |
3. High-Performance Workflow
graph TD
A[User Request] --> B[Data Discovery]
B --> C{Orchestrator}
C -->|Transformation| D1[data-manipulation]
C -->|Statistical| D2[data-analysis-suite]
D1 --> D2
C -->|Spatial| E[geoprocessing-brazil]
C -->|SQL/Large Data| F[duckdb-sql-master]
D1 & D2 & E & F --> G[data-viz]
G --> H[document-mastery]
H --> I[document-converter]
I --> J[Final Report]
4. Operational Best Practices
Step 1: Integrated Pipeline
Use @data-manipulation for preparation (mapping, cleaning, weighting) and @data-analysis-suite for specialized statistics. Consult the references/*.md inside each skill for specific methodologies.
Step 2: Consistent Aesthetics
Always use data-viz for chart generation to ensure consistent styling and 300 DPI quality.
Step 3: Global Language Policy
All technical artifacts, code comments, and documentation produced MUST be written in English.
[!IMPORTANT] This repository uses a References Pattern for complex skills. If a task requires specialized stats, read the corresponding file in
data-analysis-suite/references/first.