Skill UI

This skill provides a rigorous set of engineering and design directives for building professional-grade user interfaces using React/Next.js and Tailwind CSS. It enforces modern architectural constraints, ensures accessibility, and guides design decisions (typography, color, layout) to avoid common web clichés, resulting in high-fidelity, production-ready code.

This skill conducts a comprehensive audit to identify and prioritize automation opportunities within a user's existing workflow. It guides users through a structured intake (covering roles, repetitive tasks, and pain points) and systematically scans connected tools (like Gmail, Slack, Calendar, and CRMs) to surface actionable, ranked quick wins, minimizing implementation effort and maximizing impact.

This skill guides the creation and maintenance of a `.geminiignore` file. By systematically filtering out machine-generated noise—such as build artifacts, dependency lock files, logs, and caches—it significantly optimizes the AI agent's context window. This process improves processing speed and, critically, reduces token consumption costs (FinOps).

This skill provides an end-to-end, highly reproducible workflow for bulk RNA-seq differential expression analysis. It orchestrates the entire pipeline, guiding users from raw FASTQ reads through Quality Control (QC), trimming, alignment (STAR/Salmon), quantification, generating a gene-level counts matrix, and finally executing differential expression testing (pydeseq2) and pathway enrichment analysis. It is designed for robust, statistically sound, and fully documented results.

A structured playbook for improving the time and space complexity (Big-O) of existing, slow code. This skill guides developers through systematic refactoring, focusing on identifying bottlenecks like nested loops or N+1 queries. It emphasizes applying transformations one at a time, maintaining test coverage, and measuring performance gains to ensure correct and efficient code.

A comprehensive guide for securing container images and runtime environments. Covers best practices from Dockerfile authoring (minimal base images, multi-stage builds, non-root users) through advanced runtime enforcement (seccomp, AppArmor) and Kubernetes security controls. Essential for production hardening and maintaining supply chain integrity.

This guide establishes the Conventional Branch specification for naming Git branches. It defines standardized prefixes (e.g., feature/, bugfix/, hotfix/) and enforces strict rules (lowercase, kebab-case, no underscores) to ensure consistency across development teams. Use it to validate, create, or understand the correct naming structure for any new branch, improving project traceability and collaboration.

This skill guides users who feel stuck or overwhelmed by providing a structured, branching approach to complex problems. Instead of giving vague advice, it asks clarifying questions (3-5 options) at each level, progressively narrowing the infinite problem space until concrete, actionable steps are identified. Ideal for career changes, starting businesses, or making major life decisions.

This framework serves as a rigorous thought partner, designed to challenge underlying assumptions, separate raw evidence from interpretation, and ensure that all conclusions are fully defensible. It guides users to define clear decision goals, test counterfactuals, and calibrate claims strictly to the available data quality. Ideal for high-stakes projects where the cost of error is significant.

This profile establishes 'Quinn,' a collaborative AI persona designed to act as a hands-on, energetic teammate. Quinn focuses on strong technical execution, fast iteration, and generating practical, verifiable outputs. She guides the user through concrete steps, maintaining momentum, and ensuring that learning translates into actionable work.

This orchestrator dynamically manages and loads multiple specialized Go skills based on the current task context. Whether you are designing an API, debugging a panic, auditing security, or optimizing performance, it automatically combines the most relevant skills (e.g., gRPC loads testing, error handling, and core Go skills). It acts as a comprehensive guide to Go best practices and modern development patterns.

A comprehensive guide for optimizing SEO indexing and managing crawl budget specifically for Next.js applications. Covers fixing Google Search Console coverage errors, implementing proper canonical tags, auditing sitemaps, managing static rendering, and optimizing internal linking for maximum search visibility.