Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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Teradata F-Test
F-test for comparing variances between two groups
teradata-labs/claude-cookbooks 6
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td-fft
Fast Fourier Transform for frequency domain analysis and spectral decomposition
teradata-labs/claude-cookbooks 6
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mermaid-diagrams
Comprehensive guide for creating software diagrams using Mermaid syntax. Use when users need to create, visualize, or document software through diagrams including class diagrams (domain modeling, object-oriented design), sequence diagrams (application flows, API interactions, code execution), flowcharts (processes, algorithms, user journeys), entity relationship diagrams (database schemas), C4 architecture diagrams (system context, containers, components), state diagrams, git graphs, pie charts, gantt charts, or any other diagram type. Triggers include requests to "diagram", "visualize", "model", "map out", "show the flow", or when explaining system architecture, database design, code structure, or user/application flows.
softaworks/agent-toolkit 1,357
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td-convolution
Convolution operations for signal processing and filtering
teradata-labs/claude-cookbooks 6
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datadog-cli
Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.
softaworks/agent-toolkit 1,357
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td-resample
Signal resampling and interpolation for rate conversion
teradata-labs/claude-cookbooks 6
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perplexity
Web search and research using Perplexity AI. Use when user says "search", "find", "look up", "ask", "research", or "what's the latest" for generic queries. NOT for library/framework docs (use Context7) or workspace questions.
softaworks/agent-toolkit 1,357
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Teradata HNSW Vector Search
Approximate nearest neighbor search using HNSW algorithm
teradata-labs/claude-cookbooks 6
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td-change-point
Change point detection in time series for structural breaks
teradata-labs/claude-cookbooks 6
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td-ifft
Inverse Fast Fourier Transform for time domain reconstruction
teradata-labs/claude-cookbooks 6
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td-simple-impute
Missing value imputation using TD_SimpleImputeFit
teradata-labs/claude-cookbooks 6
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td-column-transformer
Advanced column transformation and feature engineering
teradata-labs/claude-cookbooks 6
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td-arimaestimate
ARIMA parameter estimation for seasonal and non-seasonal AR, MA, ARMA, and ARIMA models
teradata-labs/claude-cookbooks 6
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Teradata XGBoost Analytics
XGBoost gradient boosting for classification and regression
teradata-labs/claude-cookbooks 6
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td-acf
Auto-correlation analysis for time series dependency and pattern detection
teradata-labs/claude-cookbooks 6
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td-decision-forest
Decision forest ensemble classifier for robust predictions
teradata-labs/claude-cookbooks 6
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td-portman
Ljung-Box portmanteau tests for model diagnostics and residual analysis
teradata-labs/claude-cookbooks 6
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td-seasonal-decompose
Seasonal pattern decomposition and analysis
teradata-labs/claude-cookbooks 6
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td-outlier-detection
Outlier detection and handling using TD_OutlierFit
teradata-labs/claude-cookbooks 6
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td-stationarity-test
Statistical tests for time series stationarity (ADF, KPSS, PP tests)
teradata-labs/claude-cookbooks 6
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td-hierarchical-clustering
Hierarchical clustering for nested data grouping
teradata-labs/claude-cookbooks 6
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td-glm
Comprehensive Generalized Linear Model analytics for regression and classification
teradata-labs/claude-cookbooks 6
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td-attribution
Marketing attribution modeling and analysis
teradata-labs/claude-cookbooks 6
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td-logistic-regression
Logistic regression for binary and multinomial classification
teradata-labs/claude-cookbooks 6