td-kmeans
K-means clustering for customer segmentation and data grouping
Browse curated skills with source links, package snapshots, README assets and install signals in one calm, searchable catalog.
K-means clustering for customer segmentation and data grouping
Path analysis for sequential event patterns
Session analysis and user journey tracking
Seasonal pattern decomposition and analysis
Automatically select the optimal guided teaching strategy based on the problem type, including problem classification, strategy templates, and metaphor resources.
Imported skill tektur_ofl from anthropic
Create efficient data pipelines with tf.data
Build and train neural networks with TensorFlow
Moving average based forecasting for smoothed predictions
Power spectrum analysis for frequency domain insights and periodicity detection
Signal resampling and interpolation for rate conversion
Vector distance calculations for similarity analysis
Knowledge and utilities for creating animated GIFs optimized for Teams. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Teams like "make me a G…
Crafts Telegram-friendly replies for telclaude sessions, respecting media, heartbeats, and brevity.
Tensorboard Visualizer - Auto-activating skill for ML Training. Triggers on: tensorboard visualizer, tensorboard visualizer Part of the ML Training skill category.
Optional output file path (default: print to stdout)
Linear regression analysis for continuous target prediction
Random forest ensemble classifier for high-accuracy classification
Signal smoothing and noise reduction techniques
Signal windowing for spectral analysis and leakage reduction
Imported skill tektur_ofl from anthropic
Process Telegram messages via GramJS MTProto client. Read messages, generate AI drafts, save drafts, and create intro groups. Use when handling Telegram conversations or facilitating introductions.
Deploy and serve TensorFlow models
Analyze job descriptions and generate targeted resumes that highlight matching skills, experience, and keywords. Output in Markdown or Word format.