kpi-dashboard-design
Master KPI dashboard design with proven metrics frameworks, SMART goals, and hierarchy patterns to drive business performance from executive insights to operational monitoring.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
120 skills found
Master KPI dashboard design with proven metrics frameworks, SMART goals, and hierarchy patterns to drive business performance from executive insights to operational monitoring.
A modular data processing tool for cleaning, validating, and analyzing CSV files with support for custom transformations and automated dependency management.
Generates data cleaning pipelines for pandas/polars/PySpark, handling missing values, duplicates, outliers, type conversions, and validation.
Decompose financial variances into drivers with narrative explanations and waterfall analysis. Optimize budget vs. actual reporting, P&L commentary, and forecast reconciliation.
Create publication-quality plots and visualizations using matplotlib and seaborn. Works locally with any LLM.
Analyze geospatial data using GeoPandas with proper coordinate projections for accurate distance, filtering, and spatial relationship calculations.
Generate professional equity research snapshots using consensus estimates, company fundamentals, historical pricing, and macroeconomic indicators to build investment theses.
Comprehensive SEO and GEO optimization suite. Use to analyze domains, find keyword gaps, research backlinks, and generate autocomplete search suggestions using DataForSEO.
Correlate content attributes with GA4 and GSC metrics to identify performance drivers and optimization opportunities.
Python toolkit for mass spectrometry data processing. Enables spectral file importing (mzML, MGF, MSP), metadata harmonization, peak filtering, and calculating spectral similarity scores (cosine, modified cosine) for metabolomics.
A comprehensive financial modeling suite for investment analysis, featuring DCF valuation, sensitivity testing, Monte Carlo simulations, and scenario planning.
Autonomous multi-agent LinkedIn system using LangGraph and Claude Opus 4.5 for trend research, content creation, voice profiling, and analytics-driven optimization.