ReddRadar
Topic: claude-code-plugins
5,817 skills in this topic.
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Plugin Validator
Automatically validates Claude Code plugin structure, schemas, and compliance when user mentions validate plugin, check plugin, or plugin errors. Runs comprehensive validation specific to claude-code-plugins repository standards.
jeremylongshore/claude-code-plugins-plus-skills 1,803
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Version Bumper
Automatically handles semantic version updates across plugin.json and marketplace catalog when user mentions version bump, update version, or release. Ensures version consistency in claude-code-plugins repository.
jeremylongshore/claude-code-plugins-plus-skills 1,803
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Generating Stored Procedures
This skill uses the stored-procedure-generator plugin to create production-ready stored procedures, functions, triggers, and custom database logic. It supports PostgreSQL, MySQL, and SQL Server. Use this skill when the user asks to "generate stored procedure", "create database function", "write a trigger", or needs help with "database logic", "optimizing database performance", or "ensuring transaction safety" in their database. The skill is activated by requests related to database stored procedures, functions, or triggers.
jeremylongshore/claude-code-plugins-plus-skills 1,803
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Setting Up Synthetic Monitoring
This skill automates the setup of synthetic monitoring for applications. It allows Claude to proactively track performance and availability by configuring uptime, transaction, and API monitoring. Use this skill when the user requests to "set up synthetic monitoring", "configure uptime monitoring", "track application performance", or needs help with "proactive performance tracking". The skill helps to identify critical endpoints and user journeys, design monitoring scenarios, and configure alerts and dashboards.
jeremylongshore/claude-code-plugins-plus-skills 1,803
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Generating Test Reports
This skill generates comprehensive test reports with coverage metrics, trends, and stakeholder-friendly formats (HTML, PDF, JSON). It aggregates test results from various frameworks, calculates key metrics (coverage, pass rate, duration), and performs trend analysis. Use this skill when the user requests a test report, coverage analysis, failure analysis, or historical comparisons of test runs. Trigger terms include "test report", "coverage report", "testing trends", "failure analysis", and "historical test data".
jeremylongshore/claude-code-plugins-plus-skills 1,803
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Analyzing System Throughput
This skill enables Claude to analyze and optimize system throughput. It is triggered when the user requests throughput analysis, performance improvements, or bottleneck identification. The skill uses the `throughput-analyzer` plugin to assess request throughput, data throughput, concurrency limits, queue processing, and resource saturation. Use this skill when the user mentions "analyze throughput", "optimize performance", "identify bottlenecks", or asks about system capacity. It helps determine limiting factors and evaluate scaling strategies.
jeremylongshore/claude-code-plugins-plus-skills 1,803
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Forecasting Time Series Data
This skill enables Claude to forecast future values based on historical time series data. It analyzes time-dependent data to identify trends, seasonality, and other patterns. Use this skill when the user asks to predict future values of a time series, analyze trends in data over time, or requires insights into time-dependent data. Trigger terms include "forecast," "predict," "time series analysis," "future values," and requests involving temporal data.
jeremylongshore/claude-code-plugins-plus-skills 1,803
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orchestrating-multi-agent-systems
This skill enables Claude to orchestrate multi-agent systems using the AI SDK v5. It allows Claude to set up agent handoffs, intelligent routing, and coordinated workflows across different AI providers like OpenAI, Anthropic, and Google. Use this skill when the user asks to create multi-agent systems, needs help with agent coordination, task routing, or wants to build complex workflows involving specialized agents. It is triggered by phrases like "multi-agent system", "agent orchestration", "agent handoff", "intelligent routing", or "coordinate agents".
jeremylongshore/claude-code-plugins-plus-skills 1,803
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detecting-data-anomalies
This skill empowers Claude to identify anomalies and outliers within datasets. It leverages the anomaly-detection-system plugin to analyze data, apply appropriate machine learning algorithms, and highlight unusual data points. Use this skill when the user requests anomaly detection, outlier analysis, or identification of unusual patterns in data. Trigger this skill when the user mentions "anomaly detection," "outlier analysis," "unusual data," or requests insights into data irregularities.
jeremylongshore/claude-code-plugins-plus-skills 1,803
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building-automl-pipelines
This skill empowers Claude to build AutoML pipelines using the automl-pipeline-builder plugin. It is triggered when the user requests the creation of an automated machine learning pipeline, specifies the use of AutoML techniques, or asks for assistance in automating the machine learning model building process. The skill analyzes the context, generates code for the ML task, includes data validation and error handling, provides performance metrics, and saves artifacts with documentation. Use this skill when the user explicitly asks to "build automl pipeline", "create automated ml pipeline", or needs help with "automating machine learning workflows".
jeremylongshore/claude-code-plugins-plus-skills 1,803
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building-classification-models
This skill enables Claude to construct and evaluate classification models using provided datasets or specifications. It leverages the classification-model-builder plugin to automate model creation, optimization, and reporting. Use this skill when the user requests to "build a classifier", "create a classification model", "train a classification model", or needs help with supervised learning tasks involving labeled data. The skill ensures best practices are followed, including data validation, error handling, and performance metric reporting.
jeremylongshore/claude-code-plugins-plus-skills 1,803
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running-clustering-algorithms
This skill enables Claude to execute clustering algorithms on datasets. It is used when the user requests to perform clustering, identify groups within data, or analyze data structure. The skill supports algorithms like K-means, DBSCAN, and hierarchical clustering. Claude should use this skill when the user explicitly asks to "run clustering," "perform a cluster analysis," or "group data points" and provides a dataset or a way to access one. The skill also handles data validation, error handling, performance metrics, and artifact saving.
jeremylongshore/claude-code-plugins-plus-skills 1,803
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preprocessing-data-with-automated-pipelines
This skill empowers Claude to preprocess and clean data using automated pipelines. It is designed to streamline data preparation for machine learning tasks, implementing best practices for data validation, transformation, and error handling. Claude should use this skill when the user requests data preprocessing, data cleaning, ETL tasks, or mentions the need for automated pipelines for data preparation. Trigger terms include "preprocess data", "clean data", "ETL pipeline", "data transformation", and "data validation". The skill ensures data quality and prepares it for effective analysis and model training.
jeremylongshore/claude-code-plugins-plus-skills 1,803
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creating-data-visualizations
This skill enables Claude to generate data visualizations, plots, charts, and graphs from provided data. It analyzes the data, selects the most appropriate visualization type, and creates a visually appealing and informative graphic. Use this skill when the user requests a visualization, plot, chart, or graph; when data needs to be presented visually; or when exploring data patterns. The skill is triggered by requests for "visualization", "plot", "chart", or "graph".
jeremylongshore/claude-code-plugins-plus-skills 1,803
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splitting-datasets
This skill enables Claude to split datasets into training, validation, and testing sets. It is useful when preparing data for machine learning model development. Use this skill when the user requests to split a dataset, create train-test splits, or needs data partitioning for model training. The skill is triggered by terms like "split dataset," "train-test split," "validation set," or "data partitioning."
jeremylongshore/claude-code-plugins-plus-skills 1,803
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tuning-hyperparameters
This skill enables Claude to optimize machine learning model hyperparameters using grid search, random search, or Bayesian optimization. It is used when the user requests hyperparameter tuning, model optimization, or improvement of model performance. The skill analyzes the current context, generates code for the specified search strategy, handles data validation and errors, and provides performance metrics. Trigger terms include "tune hyperparameters," "optimize model," "grid search," "random search," and "Bayesian optimization."
jeremylongshore/claude-code-plugins-plus-skills 1,803
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training-machine-learning-models
This skill trains machine learning models using automated workflows. It analyzes datasets, selects appropriate model types (classification, regression, etc.), configures training parameters, trains the model with cross-validation, generates performance metrics, and saves the trained model artifact. Use this skill when the user requests to "train" a model, needs to evaluate a dataset for machine learning purposes, or wants to optimize model performance. The skill supports common frameworks like scikit-learn.
jeremylongshore/claude-code-plugins-plus-skills 1,803
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evaluating-machine-learning-models
This skill allows Claude to evaluate machine learning models using a comprehensive suite of metrics. It should be used when the user requests model performance analysis, validation, or testing. Claude can use this skill to assess model accuracy, precision, recall, F1-score, and other relevant metrics. Trigger this skill when the user mentions "evaluate model", "model performance", "testing metrics", "validation results", or requests a comprehensive "model evaluation".
jeremylongshore/claude-code-plugins-plus-skills 1,803
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explaining-machine-learning-models
This skill enables Claude to provide interpretability and explainability for machine learning models. It is triggered when the user requests explanations for model predictions, insights into feature importance, or help understanding model behavior. The skill leverages techniques like SHAP and LIME to generate explanations. It is useful when debugging model performance, ensuring fairness, or communicating model insights to stakeholders. Use this skill when the user mentions "explain model", "interpret model", "feature importance", "SHAP values", or "LIME explanations".
jeremylongshore/claude-code-plugins-plus-skills 1,803
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building-neural-networks
This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").
jeremylongshore/claude-code-plugins-plus-skills 1,803
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analyzing-text-with-nlp
This skill enables Claude to perform natural language processing and text analysis using the nlp-text-analyzer plugin. It should be used when the user requests analysis of text, including sentiment analysis, keyword extraction, topic modeling, or other NLP tasks. The skill is triggered by requests involving "analyze text", "sentiment analysis", "keyword extraction", "topic modeling", or similar phrases related to text processing. It leverages AI/ML techniques to understand and extract insights from textual data.
jeremylongshore/claude-code-plugins-plus-skills 1,803
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building-recommendation-systems
This skill empowers Claude to construct recommendation systems using collaborative filtering, content-based filtering, or hybrid approaches. It analyzes user preferences, item features, and interaction data to generate personalized recommendations. Use this skill when the user requests to build a recommendation engine, needs help with collaborative filtering, wants to implement content-based filtering, or seeks to rank items based on relevance for a specific user or group of users. It is triggered by requests involving "recommendations", "collaborative filtering", "content-based filtering", "ranking items", or "building a recommender".
jeremylongshore/claude-code-plugins-plus-skills 1,803
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analyzing-text-sentiment
This skill enables Claude to analyze the sentiment of text data. It identifies the emotional tone expressed in text, classifying it as positive, negative, or neutral. Use this skill when a user requests sentiment analysis, opinion mining, or emotion detection on any text, such as customer reviews, social media posts, or survey responses. Trigger words include "sentiment analysis", "analyze sentiment", "opinion mining", "emotion detection", and "polarity".
jeremylongshore/claude-code-plugins-plus-skills 1,803
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generating-database-seed-data
This skill enables Claude to generate realistic test data and database seed scripts for development and testing environments. It uses Faker libraries to create realistic data, maintains relational integrity, and allows configurable data volumes. Use this skill when you need to quickly populate a database with sample data for development, testing, or demonstration purposes. The skill is triggered by phrases like "seed database", "generate test data", "create seed script", or "populate database with realistic data".
jeremylongshore/claude-code-plugins-plus-skills 1,803