Skill UI

This skill acts as a Cognitive Psychologist, diagnosing a target audience's precise stage on the awareness ladder (from unaware to most aware). It applies psychological frameworks (like ELM) to calibrate the optimal messaging, language register, and persuasion strategy. Use it when you need to tailor marketing content, sales pitches, or educational materials based on the audience's current knowledge and readiness to buy, ensuring the message resonates and minimizes resistance.

This skill functions as a Narrative Psychologist, mapping and engineering the full emotional journey a customer must take across any content format (e.g., landing pages, email sequences, sales decks). It systematically designs the emotional progression—from the initial state (e.g., skepticism or anxiety) through controlled tension, relief, and anticipation—to the precise emotional state required for a desired action, ensuring the narrative flow is believable and persuasive.

Maps out a complete topical authority structure by defining a pillar page, generating prioritized cluster articles (8-15), building a detailed internal link map, and performing a content gap analysis. This skill is essential for comprehensive SEO content strategy, ensuring all written content supports a core topic and identifies untapped AEO opportunities.

This skill acts as a Visual Psychologist and Environmental Researcher, guiding the systematic mapping of visual elements—including color, typography, spacing, and imagery—to desired emotional states and conversion goals. It ensures that design decisions are strategic, supporting persuasion and brand narrative rather than merely being decorative. Use it when you need visuals to evoke a specific feeling (e.g., trust, urgency, calm) for a defined target audience, while respecting cultural and accessibility constraints.

Automates converting a Gmail message into a Google Tasks entry via the gws workflow command; ideal for turning important emails into actionable tasks by mapping the subject and snippet to task title and notes.

A comprehensive workflow designed for Product Managers and technical leads to systematically identify, prioritize, and document missing features in a software project. It guides users through project understanding, gap analysis, applying a scoring matrix for prioritization, developing detailed Minimum Viable Product (MVP) specifications, and structuring the output as actionable development issues (e.g., GitHub Issues) with dependency mapping and workload optimization.

Defines and runs LLM-as-judge evaluators on Arize via ax commands, handling evaluator creation, continuous monitoring, column mapping, trigger runs, and evaluation spans or experiments with configurable templates, models, and query filters.

A comprehensive guide for optimizing business growth motions. This framework helps founders determine the optimal Go-To-Market (GTM) strategy—whether Product-Led Growth (PLG) or sales-led—and build systematic, measurable growth engines. It covers advanced topics like mapping the growth equation, analyzing channel economics (CAC/LTV), and optimizing time to first value to ensure scalable adoption.

Automates importing live Azure environments into Terraform by discovering subscriptions, groups, or resource IDs, mapping dependencies, and generating AVM-based IaC files ready for validation and planning.

This skill serves as a comprehensive index for the built-in QA Agent, mapping user topics and keywords (such as installation, configuration, skills, or memory) directly to specific QwenPaw official documentation paths and relevant source code entry points. It drastically reduces the need for blind searching by providing a structured guide, ensuring the QA Agent reads the most accurate and relevant files first.

Audits crawlability, metadata, structured data, Core Web Vitals, and content signals while planning keyword mapping, internal linking, and sitemap fixes so teams can steadily boost organic visibility.

This technique is used when the required answer in a case query is not directly stated but must be deduced by following a sequence of connected roles, people, or events. It involves mapping complex relationships, such as Victim -> Defendant -> Lawyer -> Witness, to trace indirect connections and reach the final piece of information. Ideal for advanced investigative research and deep knowledge graph traversal.