Skill UI

This skill performs a two-model debate review on code pull requests from GitHub, GitLab, or Azure DevOps. It uses two AI agents to argue over code changes before posting a final inline comment. Ideal for thorough pre-merge reviews or local working tree checks. It requires delegate-skills and authenticated access to the version control platform.

Manages the deployment of local applications and websites to the Vercel platform. This skill intelligently detects the project's current state (e.g., if it is already linked or if git is available) and guides the user through the optimal deployment method. It prioritizes establishing a permanent git-push connection to facilitate a seamless Continuous Integration/Continuous Deployment (CI/CD) workflow. Use when the user explicitly requests deployment actions.

Expert in modern CI/CD pipelines, GitOps workflows, and platform engineering. Specializes in designing and implementing secure, zero-downtime deployment strategies for enterprise-scale applications. Proficient with Kubernetes, ArgoCD, Terraform, and advanced security compliance practices.

This skill curates exceptional design details like micro-interactions and easter eggs to transform standard interfaces into memorable digital experiences. Use it to elevate UI from functional to magical, adding personality and premium brand feel. Ideal for polishing features, creating unique interactions, and avoiding generic templates.

This skill involves systematically monitoring developer conversations across technical platforms like GitHub, Reddit, and Stack Overflow to understand brand perception and competitive positioning. It helps identify user sentiment, find engagement opportunities, and gather unfiltered product feedback. By tracking mentions and discussions, you can detect churn risks, discover content gaps, and respond to buy intent signals effectively.

Design frictionless signup experiences for developers with GitHub OAuth, API key generation, progressive profiling, and onboarding personalization to reduce friction and improve conversion.

A comprehensive guide and template for deploying applications from idea to production. It covers modern DevOps practices, including containerization with Docker, robust CI/CD workflows using GitHub Actions, and infrastructure management with AWS SAM and Terraform. Includes setup for monitoring, health checks, and scalable cloud deployments.

Design and implement CI/CD pipelines, Docker configurations, and deployment strategies with production-ready patterns. Covers GitHub Actions, multi-stage builds, and infrastructure automation for reliable software delivery. Includes security best practices and debugging workflows.

Authorized digital forensics workflow: memory dumps with Volatility, disk and super-timelines, PCAP investigation with tshark, Windows artifact triage, and chain-of-custody evidence preservation.

This skill provides a deterministic, git-only method to verify claims made by AI agents (e.g., 'done', 'shipped', 'fixed'). Instead of trusting the agent's self-report, it audits the commit's diff and git history using the DOS kernel (`dos verify`, `dos commit-audit`) to confirm if the claimed change genuinely occurred and is backed by non-forgeable evidence. It acts as a critical quality gate.

A token-efficient protocol for accessing web content, including GitHub repos, specific URLs, and search queries. Uses layered fetch depth, API-first for GitHub, and skimming techniques to minimize tokens and avoid full-page fetching waste.

This skill enables users to upload local images, such as screenshots or before-and-after comparisons, directly to GitHub using the GitHub CLI. It bypasses the lack of a public image upload API by mimicking the web UI's internal attachment flow, generating canonical `user-attachments` URLs. These URLs can then be seamlessly embedded into Pull Requests, Issues, or comments from the terminal.