Explore our collection of Agent Skills to enhance your AI workflow.
Monitors machine learning training progress in real-time by integrating with logging backends and visualization tools.
Accelerates web development with up-to-date knowledge of React 19.2 and Next.js 16 features, bridging the gap between LLM training cutoffs and current standards.
Automates the creation of robust unit and integration tests using industry-standard patterns and framework detection.
Validates AI model checkpoints against datasets to measure performance and benchmark key metrics.
Generates and edits high-resolution images using the Google Gemini API directly within your Claude Code environment.
Streamlines the creation and optimization of secure, high-performance CI/CD pipelines and automation scripts.
Transforms high-level project ideas into detailed technical specifications, structured user stories, and prioritized task breakdowns.
Guides users through authoring, formatting, and validating structured documentation using the GoodDocs framework.
Automates the management of PM2 processes for serving Playwright test reports and trace viewers in development environments.
Analyzes machine learning training logs to visualize loss curves, detect training issues, and provide diagnostic insights.
Architectures and implements high-performance mobile applications for iOS, Android, and cross-platform frameworks using industry best practices.
Diagnoses and fixes machine learning training issues including loss plateaus, gradient instabilities, and convergence failures.
Architects and implements high-performance full-text search engines and vector retrieval systems for AI-driven applications.
Analyzes and predicts AI model performance by empirically testing relationships between model size, dataset volume, and compute budget.
Implements comprehensive system monitoring, structured logging, and distributed tracing to ensure application reliability and performance.
Configures and manages Coder development environments specifically tailored for the hahomelabs.com infrastructure.
Design and implement robust, scheduled, and event-driven task pipelines using industry-standard orchestration tools.
Streamlines project tickets and issues by optimizing structure, file paths, and task breakdowns for LLM-assisted development.
Analyzes, documents, and plans the modernization of complex legacy codebases using automated discovery and strategic refactoring patterns.
Manages a structured, file-based task tracking system within your repository using Markdown files and YAML frontmatter.
Identifies code bottlenecks and provides actionable strategies to optimize latency, memory usage, and algorithmic efficiency.
Automates semantic versioning logic and synchronizes manifest files with Git tags for consistent software releases.
Automates browser-based end-to-end testing to ensure reliable user journeys across web applications using Playwright, Cypress, and Selenium.
Builds consistent, accessible, and high-performance frontend interfaces using Tailwind CSS and shared component libraries within a monorepo.
Streamlines development by replacing Node.js workflows with the high-performance Bun runtime and native APIs.
Standardizes the development and packaging of specialized Claude Code skills through a structured engineering framework and automation scripts.
Generates distinctive, production-grade frontend interfaces with high design quality and bold aesthetic choices to avoid generic AI-generated styles.
Deploy and configure Python applications on Google App Engine with production-ready patterns for Cloud SQL, scaling, and secret management.
Restores original file structures and extracts individual files from Repomix-packed XML, Markdown, and JSON repositories.
Transforms academic research papers into interactive websites, presentation videos, and conference posters using an autonomous AI pipeline.
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