Skill UI

Mason is the dedicated builder agent responsible for writing clean, functional, and production-ready code. He strictly adheres to architectural blueprints and defined checklists, ensuring every feature is implemented with high code quality standards, including comprehensive error handling, security best practices, and testability. Ideal for the core development phase of complex projects.

A crucial post-hoc review skill designed for AI-generated Markdown prose. It audits content against a comprehensive set of 21 stylistic and structural rules using both deterministic mechanical checks and deep semantic judgment. Users can audit a single file to get a detailed scorecard, or compare two drafts (A/B) for regression testing. Furthermore, it can optionally generate a polished, revised copy in a separate file, ensuring the integrity of the original document while significantly improving linguistic quality and adherence to style guides. Ideal for refining AI-written documentation, ...

This skill guides the process of routing a complex goal through an AI's scored-memory loop using the `acc_act(runtime="solve")` function. It provides a structured workflow for deliberation, handling intermediate `brain_frame` results, and submitting continuous proposals. It emphasizes systematic reasoning and requires careful resolution of all generated frames to ensure a robust and verifiable solution.

This skill processes raw, unstructured materials (e.g., conversations, reports, controversies) into highly structured, reusable casebook entries. It focuses on identifying core facts, defining mechanism chains, and mapping responsibility links while ensuring rigorous data anonymization. It is designed for deep knowledge management and pattern recognition, helping users build a reliable, reusable knowledge base for future professional analysis, rather than generating immediate advice.

This skill transforms vague, unclear, or half-formed business opportunities and brief descriptions into highly structured, actionable problem statements. It guides the user through a three-stage process: reframing the core questions, rigorously defining in-scope and out-of-scope boundaries, and designing a minimum viable research plan. It ensures that ambiguous inputs are converted into clear, executable steps, allowing the user to respond with confidence rather than asking for more clarification meetings.

This skill transforms vague feature briefs or Product Requirement Documents (PRDs) into highly structured design handoff briefs. It ensures designers have comprehensive context before starting work, including the core user goal, emotional context, critical technical constraints, necessary edge cases, and clear scope boundaries, preventing misdirection and scope creep.

This tool generates a comprehensive hiring rubric and technical interview scorecard for evaluating software engineers at specific levels and roles. It defines clear behavioral anchors, structured technical questions, and system design criteria, ensuring consistent, unbiased evaluation across all interviewers, and providing a full debrief agenda.

This comprehensive skill applies industry-standard prioritization frameworks, including RICE, MoSCoW, Kano, and ICE, to rank product features and backlog items. It generates a scored, defensible list that includes a recommended build order, explicitly deprioritized items, and documented assumptions. Essential for Product Managers and teams needing to make data-driven, strategic decisions about the product roadmap and manage scope trade-offs.

This skill generates a comprehensive Go-To-Market (GTM) asset pack. It structures all necessary marketing and sales materials—including positioning statements, core messaging pillars, feature-to-benefit mappings, and role-specific use cases—following established frameworks like Geoffrey Moore's model. Use it when launching a new product, feature, or service to ensure internal teams and market content are highly aligned and focused on solving customer pain points.

This skill generates a comprehensive, cross-functional Go-to-Market (GTM) plan for any product launch, feature release, or new market entry. It helps align Product, Marketing, Sales, and Support teams by defining launch tiers (Major, Feature, Incremental), core messaging, operational activities, success metrics, and risk mitigation strategies. Ideal for pre-launch strategy, ensuring cross-departmental coordination, and defining measurable success criteria.

This skill generates a complete, structured interview scorecard and guide for any specific role. It helps reduce hiring bias and ensures consistent evaluation across all interviewers by defining key competencies, behavioral questions (STAR format), and clear scoring guidance. It is crucial when developing comprehensive assessment criteria or interview frameworks for hiring.

This skill guides product teams beyond listing features by applying the Jobs-to-be-Done (JTBD) framework. It maps customer needs across functional, emotional, and social dimensions, allowing teams to write precise job stories. Use this to conduct deep user research, identify core pain points, and define product opportunities based on user outcomes rather than mere outputs.