Analyze survey responses with Likert scale analysis, cross-tabulations, sentiment scoring, and frequency distributions with visualizations.
Comprehensive PDF manipulation - merge, split, rotate, extract pages, add watermarks, compress, and encrypt PDFs programmatically.
Detect anomalies and outliers in datasets using statistical and ML methods. Use for data cleaning, fraud detection, or quality control analysis.
Create timelapse videos from image sequences with frame rate control, transitions, and quality optimization.
Generate app icons and favicons in multiple sizes from a single source image. Support for iOS, Android, web favicon, and social media formats.
Standardize and format phone numbers with international support, validation, and multiple output formats.
Extract tables from PDFs and images to CSV or Excel. Support for scanned documents with OCR, multi-page PDFs, and complex table structures.
Extract dominant colors from images, generate color palettes, and export as CSS, JSON, or ASE with K-means clustering.
Create project timeline Gantt charts with dependencies, milestones, and progress tracking. Supports static (PNG/SVG) and interactive (HTML) output.
Batch create professional certificates with customizable templates for courses, achievements, and awards. Supports CSV input and PDF export.
Analyze personal or business expenses from CSV/Excel. Categorize spending, identify trends, compare periods, and get savings recommendations.
This skill should be used when the user asks to "diagnose context problems", "fix lost-in-middle issues", "debug agent failures", "understand context poisoning", or mentions context degradation,...
Use when asked to calculate statistical power, determine sample size, or plan experiments for hypothesis testing.
Generate thumbnails from images with smart cropping, multiple sizes, and batch processing. Ideal for web galleries, social media, and app icons.
Format and validate markdown documents with auto-generated TOC, frontmatter, structure validation, and cross-reference linking. Export to GitHub/CommonMark/Jekyll/Hugo.
Format citations in APA, MLA, Chicago, IEEE, Harvard styles from structured data, DOI/ISBN lookup, or manual entry. Generate bibliographies with auto-sort.
Explain ML model predictions using SHAP values, feature importance, and decision paths with visualizations.
Generate barcodes in multiple formats (Code128, EAN13, UPC, Code39, QR). Supports batch generation from CSV and various output formats.
Use when asked to parse, normalize, standardize, or convert dates from various formats to consistent ISO 8601 or custom formats.
Use when asked to compare multiple ML models, perform cross-validation, evaluate metrics, or select the best model for a classification/regression task.