Skill UI

This skill implements a continuous improvement feedback loop (Part 12). It aggregates signals from market shifts, customer feedback, competitive intelligence, and internal operations. The output provides structured recommendations to refine the brand's product offering, business strategy, and channel mix, ensuring marketing efforts remain relevant and adaptive. Used continuously, especially during Quarterly Business Reviews (QBRs).

A comprehensive tool for managing PR crises and reputational threats. It provides rapid crisis assessment, classifies severity levels, identifies key stakeholders, and generates a structured response plan. The output includes tailored messaging for customers, media, and employees, a detailed communication timeline, channel deployment strategy, and a full recovery roadmap to rebuild trust.

Automatically converts unstructured brand guidelines, style guides, and restriction lists into highly structured, enforceable markdown files. This tool ensures brand voice, messaging, and compliance rules are consistently applied across all content modules, maintaining brand integrity from initial input to final output. Ideal for marketing teams and content creators needing a single source of truth for brand rules.

This tool allows users to define and import custom templates for various marketing deliverables, such as proposals, performance reports, content briefs, and campaign plans. By establishing a structured template, the system ensures that all generated outputs adhere to the brand's specific formatting rules, section requirements, and content formats, making the output consistent and professional across different campaigns.

A sophisticated tool designed to automatically generate professionally branded, structured marketing reports. It supports various report types, including executive summaries, campaign performance deep dives, channel analysis, and quarterly reviews. By pulling live data from multiple sources and tailoring the output to the intended audience (C-suite, team, or client), it eliminates manual report assembly, ensuring brand consistency and actionable insights.

This skill creates a standardized, persistent workspace (desk) for managing long-running projects or complex workstreams. It sets up a structured directory containing a detailed journal for historical context and a dedicated signals folder for structured data output, ensuring continuity across multiple sessions.

This skill guides the generation of a professional and highly structured revision response package for top-tier academic journals. It specifically addresses multi-round, double-blind review processes, ensuring every reviewer comment is addressed point-by-point. The output includes a summary statement, a detailed response table, and the marked revision manuscript, all while adhering to strict rules against identity leakage, making it ideal for streamlining the academic publishing workflow.

This skill generates fully valid Microsoft Threat Modeling Tool (.tm7) files. It translates complex system architectures, including components, data stores, data flows, and external actors, into the required WCF DataContractSerializer XML format. Use it for structured STRIDE threat modeling outputs compatible with Microsoft's official tool.

An AI SDK specifically designed for Dart and Flutter applications. Genkit provides a unified interface for building sophisticated AI agents, defining complex data flows, and integrating various Large Language Models (LLMs) like Gemini, OpenAI, and Anthropic. Use it to manage code generation, structured outputs, tools, and complex operational workflows in Dart.

This skill provides a comprehensive, reproducible rubric for evaluating scholarly and scientific work. It covers nine critical dimensions—including problem statement, methodology, data evidence, analysis rigor, and citation quality—making it ideal for reviewing research papers, grant proposals, literature reviews, and academic theses. Use it to provide structured, actionable, and professional feedback to enhance scholarly output.

The Diagram Generator converts complex, unstructured inputs—such as natural language, code snippets, schemas, and notes—into professional, editable visual diagrams. It supports diverse standards including Mermaid, PlantUML, and Graphviz, enabling the creation of flowcharts, sequence diagrams, UML models, ER diagrams, architecture maps, and more. Outputs are designed to be reviewable, version-controllable, and highly precise.

This skill provides a structured way to understand complex codebases, functions, or architectural concepts. It allows the user to specify the depth of explanation (Simple, Standard, Deep), ensuring the output covers purpose, step-by-step flow, key decisions, and trade-offs for maximum learning efficiency.