Skill UI

This skill simulates an autonomous, overnight development cycle by leveraging Git hooks to enforce Test-Driven Development (TDD). It ensures that all code changes, whether building new features, refactoring, or fixing bugs, are rigorously tested and meet high quality standards before commitment. Use this when high code reliability and comprehensive testing are critical requirements.

Guides authors through building Claude Code plugin skills by detailing required metadata, structure, resource types, and best practices for scripts, references, assets, and progressive disclosure so Claude can load workflows efficiently.

Automates SLA monitor setup within enterprise workflows, delivering step-by-step guidance, best practices, code/config snippets, and validation to align monitoring, compliance, and integration standards.

Assists in business automation by guiding users through slack bot creator tasks, offering best practices, auto-generated code, and validation for workflows, email, and spreadsheet processes.

This skill guides the mastery of smart contract security best practices for Solidity. It is essential for writing robust, secure, and efficient contracts, auditing existing code for common vulnerabilities (such as reentrancy, overflow, and access control issues), and implementing secure DeFi protocols. It focuses on preventing common attack vectors while optimizing gas usage.

Automates spark job creation within data pipelines by guiding etl, transformation, orchestration, and streaming workflows; includes industry best practices, code templates, and validation to deliver production-ready jobs.

Automates Spark SQL optimizer tasks in data pipelines by guiding best practices, producing production-ready code and configurations, and validating ETL, transformation, orchestration, and streaming workflows.

A specialized reverse-engineering skill designed to extract comprehensive functional and non-functional specifications from existing, undocumented, or legacy codebases. It operates by analyzing code structure, tracing data flows, and identifying observable behaviors. The output is structured using EARS (Easy Approach to Requirements Syntax), providing clearer requirements documentation, architectural diagrams, and dependency maps for onboarding or system modernization.

Verifies that blockchain code precisely implements documented specifications by comparing logic, invariants, flows, and assumptions against whitepapers or design documents, flagging undocumented behavior, mismatches, and compliance gaps during audit engagements.

Automates spike test setup workflows by offering guided steps, best practices, code snippets, and validations across load/stress benchmarking and monitoring scenarios.

Automates SQL query optimization guidance for data analytics workflows, offering best practices, pattern advice, and production-ready code for queries, BI, and visualization tasks whenever the user invokes SQL query optimizer support.

Automated guidance for SQL transform helper tasks within data pipelines, covering ETL, data transformation, workflow orchestration, and streaming, while following best practices, generating production-ready code, and validating results.