Skill UI

An adversarial Quality Assurance (QA) pass designed to deep-dive into any codebase for logic errors, security flaws, and functional bugs. Instead of confirming that code 'looks right,' this skill actively attempts to break the code by simulating hostile inputs, tracing critical data paths, and checking for subtle, real-world correctness issues. Essential for high-stakes, critical code reviews.

This skill specializes in creating C4 Component-level architecture documentation. It synthesizes code-level details into logical components, defining boundaries, interfaces, and relationships within containers. It generates Mermaid diagrams and best practices for software architecture documentation.

Configure Content Delivery Networks (CDNs) like CloudFront and Cloudflare to optimize global asset delivery. Includes setting up caching, invalidation, security, and edge logic using CLI and Terraform. Ideal for reducing latency and offloading origin servers.

Cloudflare Pages enables deploying static sites and full-stack applications globally with edge functions. It supports preview deployments per pull request, custom domains, and TLS. Users can manage projects via Wrangler CLI or the dashboard, integrating with GitHub/GitLab. Features include serverless functions, middleware, and bindings for KV, D1, and R2, facilitating server-side logic alongside static content.

A constraint-based protocol designed to professionalize existing code by normalizing comments and performing safe, non-semantic cleanup. This skill converts informal, outdated, or missing documentation into clear, concise, and professional standards without altering the core logic or behavior. Ideal for preparing code for code review, open-sourcing, or formal documentation.

This skill simplifies and refines code to enhance clarity, consistency, and maintainability without altering functionality. It applies project-specific best practices to improve readability, reduce complexity, and align with coding standards. Ideal for cleaning up recently modified code or optimizing existing logic for better structure.

This skill provides a structured, git-aware mechanism to revert changes associated with specific logical work units (tracks, phases, or tasks). It performs comprehensive pre-flight checks, identifies relevant commits through structured logging, displays a detailed execution plan, and executes the revert safely in reverse chronological order. Ideal for undoing complex, multi-step development changes while maintaining project integrity.

Applies evidence-based psychological mechanisms to engineer conversion copy that creates desire, overcomes resistance, and drives action, matching awareness stage, emotional state, and category trust with the right proof density.

A specialized quality gate skill designed to review complex, multi-source outputs generated by the CrossFrame framework. It rigorously checks reasoning fidelity, evidence boundaries, source anchors, and structural continuity. Use this when advanced verification of logical rigor and source integrity is required, ensuring outputs meet strict internal protocols and avoid common structural failures.

Implement comprehensive automated database backup strategies for PostgreSQL, MySQL, and MongoDB. Configure retention policies, schedule backups using cron or systemd, and upload to S3-compatible storage. Includes scripts for logical and physical backups, point-in-time recovery, and disaster recovery testing. Essential for DevOps and database administration roles to ensure data safety and business continuity.

This meta-skill orchestrates design workflows by routing tasks through brainstorming, multi-agent review, and execution readiness checks. It ensures ideas become validated designs before implementation, managing risk assessment and escalation logic. It controls flow between creative and technical skills, preventing costly mistakes by enforcing proper review steps and blocking execution without approval.

Fact-Check-X orchestrates multi-party answer collection, knowledge comparison, and authoritative verification to generate auditable reports. It coordinates sibling skills without embedding business logic, ensuring structured evidence tracking and stage-based deliverables for AI output validation.