Rechercher

PythonReactSEOPDF

dkyazzentwatwa AI Skills

GitHub ↗

Explorez les skills IA publiés de dkyazzentwatwa et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

113

Étoiles des dépôts des skills indexés

1,774

Forks du dépôt

125

Moyenne des étoiles par skill indexé

16

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

113 skills

Explorer

GitHub

audio-converter

dkyazzentwatwa

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

GitHub

language-detector

dkyazzentwatwa

Detect language of text with confidence scores, support for 50+ languages, and batch text classification.

GitHub

sentiment-analyzer

dkyazzentwatwa

Analyze text sentiment (positive/negative/neutral) with confidence scores, emotion detection, and visualization. Supports single text, CSV batch, and trend analysis.

GitHub

video-clipper

dkyazzentwatwa

Cut video segments by timestamp, split videos into chunks, trim start/end, and extract specific scenes with precise frame control.

GitHub

batch-qr-generator

dkyazzentwatwa

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

GitHub

blog-post-optimizer

dkyazzentwatwa

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

GitHub

sankey-diagram-creator

dkyazzentwatwa

Create interactive Sankey diagrams for flow visualization from CSV, DataFrame, or dict data. Supports node/link styling and HTML/PNG/SVG export.

GitHub

data-storyteller

dkyazzentwatwa

Transform CSV/Excel data into narrative reports with auto-generated insights, visualizations, and PDF export. Auto-detects patterns and creates plain-English summaries.

GitHub

regex-tester

dkyazzentwatwa

Test, debug, and explain regular expressions. Visualize matches, generate patterns from examples, and convert between regex flavors.

GitHub

pdf-toolkit

dkyazzentwatwa

Comprehensive PDF manipulation - merge, split, rotate, extract pages, add watermarks, compress, and encrypt PDFs programmatically.

GitHub

dataset-comparer

dkyazzentwatwa

Compare two datasets to find differences, added/removed rows, changed values. Use for data validation, ETL verification, or tracking changes.

GitHub

report-generator

dkyazzentwatwa

Generate professional PDF/HTML reports with charts, tables, and narrative from data. Supports templates, branding, and automated report generation.

GitHub

ab-test-calculator

dkyazzentwatwa

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

GitHub

gantt-chart-creator

dkyazzentwatwa

Create project timeline Gantt charts with dependencies, milestones, and progress tracking. Supports static (PNG/SVG) and interactive (HTML) output.

GitHub

distance-calculator

dkyazzentwatwa

Calculate distances between geographic coordinates, find nearby points, and compute travel distances. Use for logistics, delivery routing, or location analysis.

GitHub

ml-model-explainer

dkyazzentwatwa

Explain ML model predictions using SHAP values, feature importance, and decision paths with visualizations.

GitHub

survey-analyzer

dkyazzentwatwa

Analyze survey responses with Likert scale analysis, cross-tabulations, sentiment scoring, and frequency distributions with visualizations.

GitHub

model-comparison-tool

dkyazzentwatwa

Use when asked to compare multiple ML models, perform cross-validation, evaluate metrics, or select the best model for a classification/regression task.

GitHub

clustering-analyzer

dkyazzentwatwa

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

GitHub

word-cloud-generator

dkyazzentwatwa

Generate styled word clouds from text with custom shapes, colors, fonts, and stopword filtering. Supports PNG/SVG export and frequency dictionaries.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.