test-data-management
Strategic test data generation, management, and privacy compliance for scalable, secure, and realistic quality engineering workflows.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
184 skills found
Strategic test data generation, management, and privacy compliance for scalable, secure, and realistic quality engineering workflows.
CLI tool to bundle repository context, files, and prompts into a one-shot request for advanced AI debugging, refactoring, and code review.
Intelligent contract review tool for identifying risks, extracting key terms, and flagging unusual clauses to support informed decision-making.
Audit and optimize SwiftUI runtime performance. Diagnose slow rendering, janky scrolling, high resource usage, and layout thrash with code review, architecture analysis, and Instruments profiling guidance.
Manage YNAB budgets, track spending, and automate financial reports via API. Features include transaction logging, goal monitoring, and automated budget analysis.
Deep single-page SEO audit for technical, content, and performance analysis. Includes on-page, schema, image, and E-E-A-T checks to optimize search rankings and user experience.
Deep requirement analysis and documentation skill. Uncover root needs, map stakeholders, resolve conflicts, and define testable specifications with acceptance criteria for software projects.
Create high-performance AI skills by reverse-engineering successful GitHub projects and proven open-source methodologies.
Automated global intelligence aggregator for market, geopolitical, and AI news. Features RSS feed integration, real-time alert systems for critical events, and structured report generation with intelligence inference.
Optimize Apache Spark jobs with partitioning strategies, memory management, shuffle tuning, and data skew mitigation for high-performance data processing pipelines.
Classical machine learning with scikit-learn. Use for classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation, and building robust ML pipelines in Python.
Expert advisor for implementing Anthropic's structured outputs. Choose between JSON mode and strict tool use for guaranteed schema compliance and validated agentic workflows.