Skill UI

This guide details the architectural and implementation patterns for building modular applications or microservices using the tinystruct Java framework. It covers core concepts like using the @Action annotation for dual routing (CLI/HTTP), managing request state with Context, and using native Builder for JSON serialization, ensuring a lightweight and structured development environment.

This skill guides users through a comprehensive, structured design process. It helps transform vague ideas or initial concepts into detailed, validated specifications by exploring project context, proposing multiple options with trade-offs, and iteratively refining architectural details. It is essential for defining clear boundaries and requirements before any code is written, ensuring a robust and well-documented development roadmap.

This tool creates a production-ready, comprehensive content brief for marketing materials. It integrates keyword strategy, detailed content outlines, brand voice guidelines, and advanced on-page SEO specifications, ensuring writers can execute the content without needing further context. Ideal for structured content planning across blogs, whitepapers, and landing pages.

Performs advanced semantic search across all stored brand knowledge, including guidelines, campaign learnings, and competitor insights. By combining vector databases, knowledge graphs, and local indices, it provides comprehensive, context-aware answers to complex natural language questions, ensuring users make decisions based on the brand's entire historical knowledge base.

A structured tool for sending critical, warning, or informational alerts to internal teams via Slack or Intercom. Ideal for pushing campaign status updates, performance metric alerts, or formal approval requests to stakeholders. It supports advanced features like tiered urgency flagging, context embedding (IDs, metrics), and mandatory execution approval, ensuring all internal communication is documented and actionable.

This skill allows users to manage and switch between different active brand profiles within a multi-client or agency environment. It is essential for maintaining context accuracy across diverse workflows. Users can list all available brands, switch the active profile using a unique brand slug, and review key brand attributes. It ensures that all subsequent generated content adheres to the correct brand's voice, compliance rules, and business context.

This tool allows users to systematically capture, structure, and store marketing learnings and insights into a persistent knowledge graph. By requiring context conditions (audience, channel, objective) and confidence levels, it builds compound intelligence, ensuring that every new observation automatically enhances the understanding and performance of future campaigns, strategies, and marketing efforts.

A specialized guide for authors targeting the ACM Conference on Fairness, Accountability, and Transparency (FAccT). It helps authors strategically frame their responsible AI research, ensuring claims are rigorously grounded in both technical measurement and social context. Covers necessary evidence bars, scope calibration, and submission best practices for this niche venue.

A comprehensive guide for authors preparing empirical research manuscripts (especially in accounting). It details best practices for structuring main tables (keeping them lean), transforming statistical coefficients into interpretable economic magnitudes, and properly visualizing dynamic effects using event study graphs. It emphasizes moving beyond simple significance stars to provide deep academic context.

This guide acts as a specialized router for structuring academic manuscripts aiming for top-tier journals, such as 'Accounting Research'. It assesses the paper's fit, guides the sequence of methodological steps (e.g., measurement, identification, mechanism), and suggests addressing weaknesses like institutional context or empirical contributions. It helps users navigate the complex academic publishing journey from initial idea to final submission and rebuttal.

A comprehensive guide for authors submitting to the American Journal of Sociology (AJS). It outlines best practices for data documentation, ensuring research provenance, and ethically sharing findings in both quantitative and ethnographic contexts. It emphasizes creating a thorough, checkable evidentiary trail appropriate to the claim, while clarifying AJS's non-mandatory policy on replication deposits and adherence to confidentiality standards.

A comprehensive guide for conducting rigorous academic literature reviews. It teaches authors how to critically appraise and synthesize conflicting empirical evidence by weighing findings based on credibility, study design, and contextual differences. The framework ensures balance, maintains objectivity, and elevates the quality of academic scholarship.