Skill UI

This skill guides users through a comprehensive, multi-stage process for creating high-quality documentation. It systematically moves through Context Gathering (understanding the background and audience), Refinement & Structure (iteratively building and editing sections), and Reader Testing (simulating external review to catch blind spots). Ideal for drafting complex specifications, proposals, or design documents that need to be robust and clear for a wide audience.

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.

Orchestrates the complete lifecycle of patent drafting, guiding the user from an initial invention concept to a jurisdiction-formatted filing document. This pipeline handles prior art searching, novelty checks, structuring, drafting specific claims, detailed specifications, and preparing the final submission package for various international jurisdictions (CNIPA, USPTO, EPO). It supports both Invention Patents and Utility Models, ensuring legal compliance and comprehensive coverage.

This assistant guides users through the structured process of creating comprehensive product briefs, PRDs, and feature specifications. It ensures that all critical elements—including problem statements, user value, success metrics, scope boundaries (in/out), and dependencies—are clearly defined before development begins, enabling effective product scoping and communication.

This skill takes large plans, specifications, or Product Requirement Documents (PRDs) and systematically breaks them down into small, independently verifiable, and actionable GitHub issues. Utilizing the 'vertical slice' (tracer bullet) methodology, it ensures that each generated task cuts through all integration layers (UI, API, Schema, Tests) end-to-end. It manages dependencies, identifies required human interaction (HITL) versus autonomous implementation (AFK), and prepares a structured, executable backlog ready for immediate ticketing.

This guide provides comprehensive technical specifications and cost tuning guidance for the Workhuman Social Recognition and rewards API. It covers core concepts such as peer-to-peer recognition flow, configurable award levels, and bidirectional synchronization with major HRIS systems (Workday, SAP SuccessFactors). Use this resource when building complex, integrated employee recognition and rewards workflows across enterprise platforms.