dkyazzentwatwa/chatgpt-skills Skills

Calculate statistical significance for A/B tests. Sample size estimation, power analysis, and conversion rate comparisons with confidence intervals.

Parse unstructured addresses into structured components - street, city, state, zip, country with validation.

Generate realistic mock API responses with fake data. Use for testing, prototyping, or creating sample data for frontend development.

Comprehensive audio analysis with waveform visualization, spectrogram, BPM detection, key detection, frequency analysis, and loudness metrics.

Convert audio files between formats (MP3, WAV, FLAC, OGG, M4A) with bitrate and sample rate control. Batch processing supported.

Use when asked to normalize audio volume, match loudness, or apply peak/RMS normalization to audio files.

Cut, trim, and edit audio segments with fade effects, speed control, concatenation, and basic audio manipulations.

Remove backgrounds from images using segmentation. Support for color-based, edge detection, and AI-assisted removal methods. Batch processing available.

Generate barcodes in multiple formats (Code128, EAN13, UPC, Code39, QR). Supports batch generation from CSV and various output formats.

Use when asked to generate multiple QR codes from CSV data, create bulk QR codes with tracking, or generate QR codes for events/products.

Analyze blog posts for SEO, readability, headline quality, and content structure. Generate meta tags and optimization recommendations with scoring.

Analyze personal or business expenses from CSV/Excel. Categorize spending, identify trends, compare periods, and get savings recommendations.

Extract contact information from business card images using OCR - name, company, email, phone, address.

Batch create professional certificates with customizable templates for courses, achievements, and awards. Supports CSV input and PDF export.

Format citations in APA, MLA, Chicago, IEEE, Harvard styles from structured data, DOI/ISBN lookup, or manual entry. Generate bibliographies with auto-sort.

Quick classifier training with automatic model selection, hyperparameter tuning, and comprehensive evaluation metrics.

Cluster data using K-Means, DBSCAN, hierarchical clustering. Use for customer segmentation, pattern discovery, or data grouping.

Use when asked to profile Python code performance, identify bottlenecks, measure execution time, or analyze function call statistics.

Extract dominant colors from images, generate color palettes, and export as CSS, JSON, or ASE with K-means clustering.

Compare document similarity using TF-IDF, cosine similarity, and Jaccard index. Use for plagiarism detection, duplicate finding, or content matching.

Use when asked to generate legal contracts, agreements, or documents from templates with variable substitution and formatting.

Find and visualize correlations between variables in datasets. Use for data exploration, feature selection, or identifying relationships between columns.

Build and validate cron expressions from natural language. Convert between human-readable schedules and cron syntax with next run preview.

Technical analysis with 29+ indicators (BB, Ichimoku, RSI, MACD). Generates 7-tier trading signals with divergence detection, volume confirmation, and squeeze alerts for crypto and stocks.