Skill UI

Explores a codebase and produces a tailored quality system: constitution, spec-aligned functional tests, review/integration/audit protocols, and AI bootstrap guidance so teams and agents share the same safety standards.

Analyzes Copilot guidance files and repository docs to craft structured README.md content, detailing the project purpose, architecture, technology stack, workflows, coding standards, testing approach, and contributing advice for fellow developers.

Guided onboarding that converses about your role, audiences, and examples so the Roundup skill can learn your voice and auto-generate tailored status briefings.

Generates a complete, compilable xUnit integration test project structure for validating complex database migrations, specifically from Oracle to PostgreSQL, within .NET solutions. This scaffolding includes a transaction-rollback base class and a seed data manager, ensuring a robust environment for writing migration integration tests without requiring test cases. Ideal for setting up testing infrastructure before migration validation.

This skill is designed to manage complex, multi-step tasks by coordinating the efforts of multiple specialized AI agents. It provides structured methods for listing available agents, initiating real-time conversations, submitting complex background tasks (such as data analysis or report generation), tracking task status, and maintaining conversational context using session IDs. It is essential when a core task requires diverse expert knowledge or sequential collaboration.

A comprehensive tool for validating, generating, and auditing hreflang tags for multilingual and multi-regional websites. It checks critical SEO requirements, including self-referencing tags, bidirectional return links, proper x-default implementation, and adherence to ISO language/region codes. Use this when optimizing content for global audiences or ensuring Google correctly indexes all language versions.

A comprehensive tool for planning and auditing programmatic SEO pages generated at scale from structured data sources (CSV, JSON, APIs). It guides best practices for designing templates, defining scalable URL systems, establishing internal linking strategies (Hub/Spoke), and implementing robust quality gates. Use this when ensuring content uniqueness, preventing thin content penalties, and mitigating risks associated with large-scale, data-driven content generation.

A comprehensive tool for detecting, validating, and generating Schema.org structured data. It primarily focuses on the JSON-LD format, which is preferred for modern SEO best practices and enabling rich results. Use this when optimizing content markup, checking for validation errors, or generating structured snippets for articles, businesses, or products.

A comprehensive tool for managing website SEO sitemaps. It can validate existing XML sitemaps against Google's latest best practices, checking for broken URLs, outdated dates, and structural issues. Alternatively, it can guide the user through generating a new, optimized sitemap structure and XML file, ensuring all critical pages are indexed correctly for search engines.

Analyzes and generates a self-contained, explorable HTML report detailing usage metrics for Claude Code sessions. It tracks token consumption (input/output), subagent usage, skill calls, and cache efficiency across specified time ranges. This tool helps developers visualize resource waste and pinpoint areas for workflow optimization, ensuring cost-effective and efficient AI development cycles.

Convert a natural-language project specification into a runnable starter repository by parsing intents, planning architecture, and generating real code plus CI/env files for any tech stack.

Automates the creation of copy-paste ready implementation documentation by parsing a PR plan, extracting numbered steps, and emitting precise, executable markdown files with file paths, code blocks, and verification checklists for every action.