Skill UI

A comprehensive guide to building production-grade evaluation systems for Large Language Models (LLMs). This skill covers advanced methodologies, including Direct Scoring and Pairwise Comparison, alongside critical techniques for mitigating systematic biases (e.g., Position Bias, Length Bias). Learn how to select appropriate metrics and structure prompts to ensure reliable, consistent, and objective quality assessment across various AI applications.

This comprehensive guide outlines best practices for building reliable and robust AI agent harnesses. It covers optimizing action spaces, defining structured tools, managing observation formats, and implementing essential error recovery contracts. Use these principles to dramatically improve agent completion rates, manage context budgets effectively, and transition AI prototypes into stable, production-grade autonomous systems.

A comprehensive guide and skill for building robust, production-ready REST API endpoints. This skill covers full lifecycle development, including input validation, centralized error handling, authentication/authorization checks, CRUD operations, pagination, and generating proper API documentation. It ensures that back-end services are secure, scalable, and adhere to industry best practices.

This skill enforces Sentry's rigorous blog writing standards, ensuring all content—from deep technical dives to product announcements—reads like it was written by a senior developer. It guides users on adopting a specific, opinionated, and technically credible voice, structuring posts around problem-solving, and avoiding generic corporate jargon.

This comprehensive skill guides users through the entire debugging lifecycle, from reproducing elusive bugs to tracing the root cause, implementing permanent fixes, and preventing future regressions. It covers advanced techniques like binary search, time travel debugging, and handling common patterns such as race conditions and null values, ensuring professional and systematic troubleshooting for any production issue.

This skill simulates a senior engineer's final, deep audit of an entire codebase before committing or pushing to a remote repository. It systematically checks for junk files, dead code, security vulnerabilities (secrets, injection flaws), and performance bottlenecks (N+1 queries). Use this pre-flight check before any major release or public deployment to ensure maximum code quality and production readiness.

This comprehensive skill guides you through the entire content lifecycle, from initial research and competitive analysis to drafting a full piece and finally performing SEO optimization. It ensures the output is a structured, authoritative, and publish-ready article, perfect for marketing teams creating technical blogs, guides, or long-form content.

This tool guides users through developing a comprehensive content strategy designed to drive organic traffic, build topical authority, and generate qualified leads. It helps define core content pillars, map out topic clusters, and identify high-potential topics by analyzing business goals, customer pain points, and competitive gaps. It ensures content creation is searchable, shareable, and directly aligned with product marketing objectives.

Provides copywriters with clear, structured guidance for crafting persuasive marketing copy across home, landing, pricing, feature, and product pages, emphasizing clarity, benefits, customer language, and proven CTA formulas.

Advises product leaders on vision, portfolio management, PMF, org design, and metrics so they can prioritize investments, align teams, and report roadmap progress to the board.

Use this guide to build and manage Expo development clients using EAS Build. This is the recommended setup for production-grade testing, allowing developers to test custom native code, local modules, and advanced features that exceed Expo Go's capabilities. It covers local builds, TestFlight submission, and connecting to the Metro bundler.

This tool automates the creation of production-ready End-to-End (E2E) tests using the Playwright framework. Users can provide natural language descriptions (like user stories, feature names, or component paths) to automatically generate comprehensive test suites. It follows best practices, including utilizing role-based locators, structuring tests with setup/act/assert phases, and generating supporting files like page objects and fixtures for maintainability.