Skill UI

This specialized skill acts as an expert debugger, designed for deep root cause analysis of software errors, test failures, and unexpected behavior. It guides the user through systematic debugging processes, including capturing stack traces, isolating failure points, implementing minimal fixes, and providing comprehensive reports detailing the root cause, evidence, specific code patches, and prevention recommendations. Ideal for complex bug resolution and quality assurance.

Deploying Machine Learning Models automates serving trained models to production by analyzing requirements, generating API and infrastructure code, and orchestrating deployment workflows with validation, error handling, and monitoring baked in.

Guides teams through discovery, research, moodboards, palettes, typography, and Tailwind-ready code so they can ship distinctive, accessible front-end experiences with process validation.

Guides Claude Code skill authors through designing and structuring workflow-based skills with numbered phases, decision routing, subagent delegation, and progressive disclosure so multi-step automations remain predictable and auditable.

Detect SQL injection weaknesses by running the sql-injection-detector plugin against codebases, identifying risky queries, and providing remediation guidance to secure applications.

Automates devcontainer creation with Claude Code plus language-specific tooling for Python, Node/TypeScript, Rust, and Go, layering templates, extensions, and post-create commands so teams can spin up isolated, persistent workspaces quickly.

This skill defines a senior engineer specializing in the entire software development lifecycle (SDLC). It covers building robust CI/CD pipelines (e.g., GitHub Actions), containerizing applications with Docker, and managing infrastructure using Infrastructure as Code (IaC) tools like Terraform or Pulumi. Key areas include Kubernetes deployment (GitOps), cloud platform configuration (AWS/GCP/Azure), release automation, and incident response planning.

Provides practical advice on Dockerfiles, CI/CD pipelines, deployment strategies, infrastructure-as-code, and observability, helping teams containerize apps, configure GitHub Actions, plan production rollouts, and keep deployments secure and observable.

Guides users through business-focused Discord bot generator tasks, offering automation patterns, workflow tips, and production-ready code aligned with best practices for email, spreadsheet, and process optimizations.

This skill analyzes existing codebases to create comprehensive, long-form technical documentation. It captures the architecture, design patterns, implementation details, and rationale (the 'why') behind complex systems. Ideal for creating definitive technical manuals, system overviews, and internal knowledge bases for onboarding and maintenance.

This comprehensive guide details how to configure robust CI/CD pipelines for Documenso integrations using GitHub Actions. It covers best practices for automated unit testing with mocks, comprehensive integration testing against a staging environment, and secure deployment workflows, ensuring code quality and reliability from commit to production.

A comprehensive set of production-ready design patterns for integrating with the Documenso SDK. It covers best practices for managing singleton clients, building typed service wrappers, robust API error handling (including status code analysis), and automatically implementing retry logic with exponential backoff. Ideal for establishing stable, scalable, and maintainable coding standards in TypeScript and Python.