Skill UI

Generates a comprehensive, structured audit based on WCAG 2.2 guidelines. This tool assesses UI and designs across perceivable, operable, understandable, and robust criteria, covering visual, motor, and cognitive accessibility. It produces a prioritized checklist with pass/fail assessments and specific, actionable remediation suggestions for developers and designers.

This tool parses raw, complex error logs, stack traces, and crash reports into a highly structured and actionable diagnosis. It goes beyond simple error reporting to identify the probable root cause, analyze the affected code path, and provide concrete, code-level fix suggestions and ordered next debugging steps. Ideal for developers facing critical production bugs or unexplained application crashes.

Generates comprehensive and structured developer handoff annotations for any Figma screen or component. This tool transforms raw visual designs into precise, buildable specifications, covering interactions, states (loading, error, success), accessibility requirements, and edge cases, ensuring developers receive everything needed for implementation.

This skill provides comprehensive guidance for developing professional, interactive, and distributable Power BI developer visuals (.pbiviz). It covers the entire workflow using the pbiviz toolchain, including scaffolding the project, implementing the IVisual class using TypeScript, managing the formatting model, live-previewing, packaging, certifying, and finally publishing the visual to AppSource.

This skill guides the creation of high-converting, honest comparison and alternative pages for developer tools. It teaches how to structure content that ranks for competitive SEO terms (e.g., "[Competitor] alternatives," "[Product] vs [Competitor]"), capturing high-intent traffic by addressing user pain points and providing clear technical differentiation.

This comprehensive tool performs an architectural audit of a codebase, mapping module dependencies, checking layering integrity, and flagging structural decay. Drawing on classic engineering principles (like Conway's Law and Testability Seams), it provides a deep assessment of the project's health and structure. Ideal for large-scale code reviews or onboarding new developers.

A comprehensive framework for systematically analyzing and monitoring competitors in the developer tools space. Users can track product features, pricing models, content strategies, developer sentiment, and market positioning. This skill is essential for product managers, marketing teams, and sales teams needing accurate competitive intelligence to build battlecards and identify market gaps.

This powerful skill provides an interactive debugger interface, allowing developers to set breakpoints, step through source code line by line, inspect live variable states, and trace the entire call stack. It is essential for diagnosing complex bugs, understanding unexpected program flow, or determining the root cause when standard logging fails. It supports various languages via the DAP protocol.

This skill guides the implementation of advanced SEO strategies tailored specifically for technical audiences and developers. It covers specialized techniques such as optimizing for error messages, researching high-intent technical long-tail keywords, creating structured how-to guides, and developing objective tool comparison content. Use this when targeting developers who search with precise technical intent, needing solutions that go beyond standard documentation.

EAS Observe is a comprehensive tool for monitoring performance metrics in production Expo applications. It tracks critical performance data, including app startup time, navigation performance across routes, and custom user events. Developers can integrate it into their Expo project using the `expo-observe` package and query detailed reports via the EAS CLI, ensuring optimal user experience and stability.

A comprehensive guide to designing effective free tiers, freemium models, and free trials for developer tools. It teaches how to create usage limits and feature gates that encourage natural conversion to paid plans without causing developer resentment or hindering initial adoption.

This professional tool helps developers and researchers identify the optimal AI model for a specific task, such as coding, reasoning, or image recognition. It queries official HuggingFace leaderboards, filters models based on hardware constraints (e.g., available VRAM or RAM), and provides a detailed comparison table including benchmark scores, parameter size, and licensing information.