Skill UI

This framework guides AI agents to critically assess their own output across five key axes: Accuracy, Completeness, Clarity, Actionability, and Conciseness. It provides a structured, evidence-based scorecard and concrete suggestions for improvement, turning every task completion into a deep learning opportunity.

This skill facilitates a structured, multi-session brand identity interview across eight key modules including purpose, positioning, and audience. It employs techniques like laddering and the 5 Whys to extract deep insights, persisting data to disk for resumption. The output is a comprehensive master brandbook used to brief designers and writers, making implicit founder knowledge explicit for new or repositioned brands.

This skill guides the creation of structured, task-local harnesses and reusable skills for complex or adaptive workflows. It ensures that dynamic processes, especially those involving multiple agents, are observable through defined objectives, input/output contracts, rigorous eval gates, and clear handoff checkpoints. Use this when automating non-linear or multi-stage tasks.

This skill is designed to review Chinese skill documentation to ensure it meets publishing standards. It systematically checks the clarity of descriptions and the executability of process steps, providing structured feedback in Chinese while maintaining necessary machine enumeration values for technical integrity.

This tool generates a complete, structured blueprint for developing powerful case studies and success stories. It guides users through defining the Challenge-Solution-Results (CSR) narrative, creating detailed client and internal interview questions, planning data visualizations, and mapping out multiple output formats (white paper, video, web page). This systematic approach ensures content is highly credible, optimized for sales enablement, and ready for multi-channel distribution.

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.