blog-post-optimizer
Analyze blog posts for SEO, readability, headline quality, and content structure. Generate meta tags and optimization recommendations with scoring.
Discover Tools skills, compare source repositories and read the instructions for each workflow.
Analyze blog posts for SEO, readability, headline quality, and content structure. Generate meta tags and optimization recommendations with scoring.
Create interactive Sankey diagrams for flow visualization from CSV, DataFrame, or dict data. Supports node/link styling and HTML/PNG/SVG export.
Transform CSV/Excel data into narrative reports with auto-generated insights, visualizations, and PDF export. Auto-detects patterns and creates plain-English summaries.
Test, debug, and explain regular expressions. Visualize matches, generate patterns from examples, and convert between regex flavors.
Comprehensive PDF manipulation - merge, split, rotate, extract pages, add watermarks, compress, and encrypt PDFs programmatically.
Extract contact information from business card images using OCR - name, company, email, phone, address.
Compare two datasets to find differences, added/removed rows, changed values. Use for data validation, ETL verification, or tracking changes.
Use when asked to inspect video file metadata, get video duration, resolution, codec information, frame rate, or bitrate.
Generate professional PDF/HTML reports with charts, tables, and narrative from data. Supports templates, branding, and automated report generation.
Calculate statistical significance for A/B tests. Sample size estimation, power analysis, and conversion rate comparisons with confidence intervals.
Create project timeline Gantt charts with dependencies, milestones, and progress tracking. Supports static (PNG/SVG) and interactive (HTML) output.
Calculate distances between geographic coordinates, find nearby points, and compute travel distances. Use for logistics, delivery routing, or location analysis.
Explain ML model predictions using SHAP values, feature importance, and decision paths with visualizations.
Auto-generate features with encodings, scaling, polynomial features, and interaction terms for ML pipelines.
Analyze survey responses with Likert scale analysis, cross-tabulations, sentiment scoring, and frequency distributions with visualizations.
Use when asked to compare multiple ML models, perform cross-validation, evaluate metrics, or select the best model for a classification/regression task.
Cluster data using K-Means, DBSCAN, hierarchical clustering. Use for customer segmentation, pattern discovery, or data grouping.
Generate styled word clouds from text with custom shapes, colors, fonts, and stopword filtering. Supports PNG/SVG export and frequency dictionaries.
Standardize and format phone numbers with international support, validation, and multiple output formats.
Use when asked to create publication-ready scientific figures, charts for research papers, or academic visualizations.
Extract keywords and key phrases from text using TF-IDF, RAKE, and frequency analysis. Generate word clouds and export to various formats.
Convert raw meeting notes to structured markdown or PDF with automatic section detection, action items extraction, and attendee parsing.
Use when asked to normalize audio volume, match loudness, or apply peak/RMS normalization to audio files.
Guide for creating effective skills. Use when building new skills or updating existing ones that extend ChatGPT with specialized knowledge, workflows, or tool integrations.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.