Skill UI

This skill systematically researches real-time public sentiment and user opinions on any topic by querying Reddit, X/Twitter, and the broader web. It bypasses curated SEO content to provide a structured report detailing consensus points, recurring pain points, genuine praise, and signal confidence, offering actionable insights into current market sentiment.

This skill generates detailed, structured research protocols for various academic, clinical, or market research studies. It ensures all critical components—such as objectives, study design, participant criteria, methodology, data management, statistical analysis plan, and ethical considerations—are comprehensively documented, providing a robust framework for any scientific investigation.

This skill synthesizes raw user interview transcripts into structured research findings. It identifies core themes, pain points, workflow insights, and actionable product implications. Use this when analyzing qualitative research notes to derive evidence-based product recommendations and next steps for development teams.

This skill analyzes raw user research data—including transcripts, survey results, and feedback—and synthesizes it into a structured, actionable report. It identifies key themes, quantifies prevalence, pinpoints critical pain points, prioritizes feature requests, and provides strategic, evidence-backed recommendations for product improvement and development.

Generates a comprehensive and actionable UX research plan for any product feature or question. This skill covers the entire research lifecycle, including defining objectives, selecting methodology (e.g., usability testing, interviews), creating participant screeners, writing discussion guides, and structuring a synthesis framework. Ideal for product managers and UX researchers needing a structured approach to validate assumptions and drive design decisions.

This skill offers a comprehensive, framework-agnostic SEO workflow designed for sites with numerous tool, product, or feature pages. It addresses critical issues like duplicate content, generic meta tags, poor heading structure, and weak internal linking. By implementing strategies like the Content Registry pattern and boosting E-E-A-T, it helps large sites (50-500 pages) improve overall search rankings.

This skill conducts deep, structured competitor analysis using Browserbase's advanced discovery and enrichment tools. It generates a comprehensive HTML report that includes market overviews, detailed per-competitor deep dives (covering marketing, social, news, and technical aspects), side-by-side feature/pricing matrices, and comparative mentions feeds. Ideal for market researchers, product managers, and strategists needing actionable competitive intelligence.

This skill generates comprehensive, academic-style survey papers as a single, self-contained HTML file. By reading an anchor resource and curating research data, it structures the content and utilizes advanced LLMs (like Kimi K2.6 via Fireworks) to generate all prose, figures, and bibliographies, suitable for rapid academic literature review.

This skill enables the creation and maintenance of highly structured, configurable research wikis. It manages source provenance, compiling raw source materials into organized concept pages, index maps, and derived artifacts. Ideal for systematically documenting complex knowledge bases, such as research notes, product documentation, or domain studies, ensuring full traceability and consistency.

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.

This comprehensive skill guides the creation of high-quality technical content specifically tailored for developers. It covers the entire devrel content lifecycle: from researching topic validation (community signals, competitor gaps) to selecting the ideal content type (tutorial, guide, case study). The framework emphasizes deep technical accuracy, structured outlines (Hook, Meat, CTA), and writing runnable, copy-paste ready code examples to build trust and drive adoption.

This template transforms complex, multi-source materials (meeting notes, research, product data, financial feedback) into a single, highly structured, actionable one-page memo. It forces the user to distill the core problem, define a clear recommendation, map out tradeoffs, and list actionable next steps, making it ideal for C-level decision-making.