{"id":"953239d7-c77e-4adc-b361-fea1950a7aaa","shortId":"WRRmZy","kind":"skill","title":"data-pro-max","tagline":"Data Analysis Intelligence Orchestrator. Master skill that coordinates specialized competencies for end-to-end data pipelines: (1) Data Analysis Suite (Stats/Causal/Science), (2) Geoprocessing Brazil, (3) Data Viz, and (4) Document Converter (Import/Export/Mermaid).","description":"# Data Pro Max - Data Analysis Intelligence\n\nAn AI orchestrator that provides **intelligent recommendations** for data analysis, visualization, and reporting. It automatically activates for data-intensive tasks and coordinates specialized sub-skills.\n\n## 1. Integrated Skill Cores\n\nData Pro Max coordinates these specialized skills: \n\n| Core Skill | Functionality | Location |\n| :--- | :--- | :--- |\n| **`data-manipulation`** | T-Layer (Preparation, Weights, Map) | 📦 `data/skills/` |\n| **`data-analysis-suite`** | All Stats, Causal & Science | 📦 `data/skills/` |\n| **`geoprocessing-brazil`** | Geo-spatial & Mapping | 📦 `data/skills/` |\n| **`data-viz`** | Statistical Visualization | 📦 `data/skills/` |\n| **`document-converter`** | Format Conversion (Import/Export) | 📦 `data/skills/` |\n| **`duckdb-sql-master`** | High-performance SQL on local files | 📦 `data/skills/` |\n| **`time-series-analysis`**| Validation & metrics for sequence data | 📦 `data/skills/` |\n| **`clustering-toolkit`** | Advanced PCA+DBSCAN grouping | 📦 `data/skills/` |\n| **`context-optimizer`** | Document decomposition into .agent | 📦 `data/skills/` |\n\n### Shared Skills (deployed via manifest)\n\n| Skill | Purpose | Location |\n| :--- | :--- | :--- |\n| **`brainstorming`** | Creative ideation & design | 🔗 `.agent/skills/` → manifest |\n| **`document-mastery`** | Writing quality & Mermaid diagrams | 🔗 `.agent/skills/` → manifest |\n\n### Agent-Only Skills (NOT deployed)\n\n| Skill | Purpose | Location |\n| :--- | :--- | :--- |\n| **`skill-creator`** | Creating and packaging new skills | 🏠 `.agent/skills/` |\n| **`notebooklm`** | Querying Google NotebookLM notebooks | 🏠 `.agent/skills/` |\n\n## 2. Master Workflows (Slash Commands)\n\n| Command | Workflow | Location |\n| :--- | :--- | :--- |\n| **`/project-onboarding`** | Initial setup & rules | 📦 Packaged (`datapro setup`) |\n| **`/survey-analysis-pipeline`**| End-to-end execution | 📦 Packaged (`datapro setup`) |\n| **`/project-harvest`** | Learning extraction → `assets/harvest/` | 📦 Packaged (`datapro setup`) |\n| **`/document-study`** | Deep analysis of papers/methodology | 📦 Packaged (`datapro setup`) |\n| **`/notebook-generation`** | Dual-layered automated notebook reporting | 📦 Packaged (`datapro setup`) |\n| **`/project-evolution`** | Absorb harvest into Data-Pro-Skill | 🏠 Local (this repo only) |\n\n## 3. High-Performance Workflow\n\n```mermaid\ngraph TD\n    A[User Request] --> B[Data Discovery]\n    B --> C{Orchestrator}\n    C -->|Transformation| D1[data-manipulation]\n    C -->|Statistical| D2[data-analysis-suite]\n    D1 --> D2\n    C -->|Spatial| E[geoprocessing-brazil]\n    C -->|SQL/Large Data| F[duckdb-sql-master]\n    D1 & D2 & E & F --> G[data-viz]\n    G --> H[document-mastery]\n    H --> I[document-converter]\n    I --> J[Final Report]\n```\n\n## 4. Operational Best Practices\n\n### Step 1: Integrated Pipeline\nUse **`@data-manipulation`** for preparation (mapping, cleaning, weighting) and **`@data-analysis-suite`** for specialized statistics. Consult the `references/*.md` inside each skill for specific methodologies.\n\n### Step 2: Consistent Aesthetics\nAlways use `data-viz` for chart generation to ensure consistent styling and 300 DPI quality.\n\n### Step 3: Global Language Policy\nAll technical artifacts, code comments, and documentation produced MUST be written in **English**.\n\n---\n> [!IMPORTANT]\n> 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.","tags":["data","pro","skill","pablodiegoo","agent-skills","ai-skills","antigravity","automation","awesome","awesome-list","awesome-lists","causal-inference"],"capabilities":["skill","source-pablodiegoo","skill-data-pro-skill","topic-agent-skills","topic-ai-skills","topic-antigravity","topic-automation","topic-awesome","topic-awesome-list","topic-awesome-lists","topic-causal-inference","topic-claude","topic-cli","topic-data-analysis","topic-data-science"],"categories":["Data-Pro-Skill"],"synonyms":[],"warnings":[],"endpointUrl":"https://skills.sh/pablodiegoo/Data-Pro-Skill","protocol":"skill","transport":"skills-sh","auth":{"type":"none","details":{"cli":"npx skills add pablodiegoo/Data-Pro-Skill","source_repo":"https://github.com/pablodiegoo/Data-Pro-Skill","install_from":"skills.sh"}},"qualityScore":"0.453","qualityRationale":"deterministic score 0.45 from registry signals: · 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'dpi':393 'dual':252 'dual-lay':251 'duckdb':127,315 'duckdb-sql-mast':126,314 'e':306,320 'end':17,19,228,230 'end-to-end':16,227 'english':412 'ensur':388 'execut':231 'extract':237 'f':313,321 'file':136,432 'final':338 'first':439 'format':122 'function':84 'g':322,326 'generat':386 'geo':109 'geo-spati':108 'geoprocess':28,106,308 'geoprocessing-brazil':105,307 'global':397 'googl':207 'graph':278 'group':154 'h':327,331 'harvest':262 'high':131,274 'high-perform':130,273 'ideat':174 'import':413 'import/export':124 'import/export/mermaid':37 'initi':220 'insid':369 'integr':72,346 'intellig':7,43,49 'intens':63 'j':337 'languag':398 'layer':91,253 'learn':236 'local':135,268 'locat':85,171,195,218 'manifest':168,177,186 'manipul':88,294,351 'map':94,111,354 'master':9,129,212,317 'masteri':180,330 'max':4,40,77 'md':368 'mermaid':183,277 'methodolog':374 'metric':143 'must':408 'new':202 'notebook':209,255 'notebooklm':205,208 'oper':341 'optim':158 'orchestr':8,46,288 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