Skill UI

This skill enables you to execute specific work tasks derived from a Product Requirement Document (PRD) or a set of issues. It involves translating requirements into actionable code or deliverables, following best practices like Test-Driven Development (TDD) where applicable. You should run typechecking and tests regularly, commit changes to the current branch, and use the review skill afterwards. It is essential for bridging the gap between planning and execution in software development projects.

This skill orchestrates multi-agent incident response workflows using modern SRE practices. It guides users through detection, triage, investigation, and resolution phases. It helps classify severity, analyze observability data, implement mitigations, and conduct root cause analysis. Suitable for handling outages, security breaches, and performance issues with structured checklists and best practices.

This skill enforces a rigorous data validation protocol by establishing hard boundaries at every point data enters the system (API requests, user input, environment variables, webhooks, etc.). It mandates a four-phase process: detection, trust classification, mandatory filtering (schema validation, sanitization, type checking), and final verification. This prevents untrusted data from reaching core business logic, mitigating risks like SQL injection and XSS.

Automates the fix-push-wait cycle for pull requests. Fetches CI check status and categorized review feedback, fixes failures and blockers, then commits, pushes and re-checks until all checks are green.

Step-by-step guidance for creating production-ready Kubernetes manifests including Deployments, Services, ConfigMaps, Secrets, and PersistentVolumeClaims. Apply best practices, resource limits, health checks, and security contexts for multi-environment deployments.

Run configured lint and type checks, distinguish failures from unrun checks, and report concrete validation results. Use after behavior or configuration changes when the repository has relevant checks. Inspect package scripts first, run read-only commands, fix failures without weakening rules, and report exact status of each check.

Use Mailtrap Email Sandbox to capture and inspect outbound emails without sending them to real recipients. This is crucial for development, staging, and CI/CD environments. It allows developers to test email content, headers, attachments, and spam scores using dedicated APIs, SMTP settings, or SDKs, ensuring mail integrity before deployment. Ideal for automation and rigorous quality checks.

Maintain a review-first engineering wiki with provenance, citation-aware queries, explicit capture and promotion, and deterministic checks. Helps teams capture durable lessons and verify knowledge before turning it into rules.

Audit multi-role marketplace authorization across roles, resource ownership, tenant boundaries, and order-state transitions. Use this skill when access rules require evidence instead of UI assumptions, covering policy matrices, identity tracing, and field-level security checks.

Mason is a specialized coding agent responsible for implementing production-ready code based on architectural blueprints and checklists. He ensures clean, functional code that adheres to security standards, linting rules, and defined folder structures. Mason writes testable code, avoids premature optimization, and follows strict layering rules. Use this skill when you need to build software features that match existing designs and are ready for code review and QA testing.

MockHunter is an advanced skill designed to audit live web pages, providing a comprehensive reality check on visible data. It analyzes every element to determine its true source: whether it is REAL (from the database), MOCK (simulated data), LLM-generated, HARDCODED, BROKEN (broken endpoints), or UNKNOWN. Ideal for auditing AI-generated UIs or reviewing proof-of-concept MVPs before customer sign-off.

Optimized for Gemini 3.1 Pro High, this skill provides an elite coding and UX pixel-perfect workflow. It focuses on maximum quality with token efficiency, including planning, architecture, TDD, clean code, validation, and visual UX checks.