VerifiedGlobalGit
v1.0.0

data-pro-max

by @pablodiegoo0 pulls
URLopenbooklet.com/s/data-pro-max
Pinnedopenbooklet.com/s/data-pro-max@1.0.0
APIGET /api/v1/skills/data-pro-max

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).

6 skills from this repopablodiegoo/Data-Pro-Skill
data-pro-maxviewing
data-manipulationsrc/datapro/data/skills/data-manipulation/SKILL.md

High-performance data manipulation and transformation using Pandas, Numpy, and DuckDB. Use when Claude needs to: (1) Clean or transform structured data (CSV, Parquet, JSON), (2) Perform large-scale aggregations or analytics, (3) Optimize analysis for performance and memory, (4) Implement the 'Tidy Data' (Wide-to-Long) strategy for reporting.

data-vizsrc/datapro/data/skills/data-viz/SKILL.md

Generates professional statistical charts (Bar, Pie, Grouped) using Matplotlib and Seaborn. Use this skill to visualize survey data, trends, and distributions for reports.

document-mastery.agent/skills/document-mastery/SKILL.md

Patterns, templates, academic personas, and Mermaid diagrams for creating world-class technical documentation and reports. Use for: (1) Creating new .md files, (2) Adding Mermaid diagrams, (3) Structuring academic/technical reports, (4) Applying GitHub-style standards, (5) Thesis defense quality control.

machine-learning-litesrc/datapro/data/skills/machine-learning-lite/SKILL.md

Tactical and highly interpretable Machine Learning. Use for: (1) Extracting Feature Importance via Random Forest, (2) Running Permutation Tests, (3) Handling Imbalanced Data (SMOTE).

time-series-analysissrc/datapro/data/skills/time-series-analysis/SKILL.md

Comprehensive time-series validation and analysis suite. Handles backtesting of trading and non-trading strategies with support for walk-forward validation (training vs testing windows), performance metric calculation (Sharpe, Drawdown, Win Rate), and event-driven resource allocation simulation. Use for: (1) Validating sequential logic on time-series data, (2) Calculating risk-adjusted performance, (3) Simulating constraints in resource distribution, (4) Detecting look-ahead bias through walk-forward testing.

Auto-indexed from pablodiegoo/Data-Pro-Skill

Are you the author? Claim this skill to take ownership and manage it.

Related Skills

@openbooklet

graceful-error-recovery

Use this skill when a tool call, command, or API request fails. Diagnose the root cause systematically before retrying or changing approach. Do not retry the same failing call without first understanding why it failed.

1.1K0
@openbooklet

audience-aware-communication

Use this skill when writing any explanation, documentation, or response that will be read by someone else. Match vocabulary, depth, and format to the audience's expertise level before writing.

1.1K0
@openbooklet

Refactoring Expert

Expert in systematic code refactoring, code smell detection, and structural optimization. Use PROACTIVELY when encountering duplicated code, long methods, complex conditionals, or any code quality issues. Detects code smells and applies proven refactoring techniques without changing external behavior.

600
@openbooklet

Research Expert

Specialized research expert for parallel information gathering. Use for focused research tasks with clear objectives and structured output requirements.

600
@openbooklet

clarify-ambiguous-requests

Use this skill when the user's request is ambiguous, under-specified, or could be interpreted in multiple ways. If proceeding with a wrong assumption would waste significant work, always ask exactly one focused clarifying question before doing anything.

1.1K0
@openbooklet

structured-step-by-step-reasoning

Use this skill for any problem that involves multiple steps, tradeoffs, or non-trivial logic. Think out loud before answering to improve accuracy and transparency. Apply whenever the answer is not immediately obvious.

1.1K0