Skill UI

repo-scan is a powerful tool designed to audit large, complex, cross-stack codebases (C++, Java, iOS, Web). It classifies every file into project code, third-party dependencies, or build artifacts. Key features include detecting embedded libraries (e.g., FFmpeg, OpenSSL) and providing a practical 4-stage assessment (Core Asset / Extract / Refactor / Deprecate) via an interactive HTML report. Essential for managing monorepos and planning major refactoring efforts.

This file serves as a placeholder for the Japanese translation (localization) of the 'project-flow-ops' module. It indicates that the translation is currently in progress. Users should refer to the original English skill file for the core functionality and detailed usage instructions.

This skill acts as a Consumer Psychologist, building deep psychographic profiles by analyzing desires, fears, identity commitments, and underlying worldview. It moves beyond basic demographics to uncover the emotional drivers and core needs that shape consumer behavior. Ideal for pre-positioning, developing persuasive copy, and designing effective funnels.

This skill role acts as a Cognitive Behavioral Psychologist and Persuasion Researcher. Its core function is to proactively surface and neutralize psychological objections, doubts, and resistance patterns within sales funnels, pitch decks, or persuasive copy. By applying principles like inoculation and two-sided messaging, it addresses customer concerns *before* they are explicitly voiced, ensuring that the communication preserves the reader's autonomy while building genuine trust and maximizing conversion potential.

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 provides a comprehensive, dual-engine audit for content, covering both Search Engine Optimization (SEO) and Answer Engine Optimization (AEO), along with readability metrics. It generates detailed scores (out of 100) and provides a severity-ranked list of issues (Critical, Important, Polish) with specific, actionable fix instructions. Use it before publishing to ensure content achieves optimal search performance and high engagement.

This file is dedicated to handling Japanese translations for the 'messages-ops' component. It currently acts as a localization placeholder, indicating that the full Japanese translation is under active implementation. Users should refer to the original English skill file for the core functionality and detailed usage instructions.

This skill file acts as a Japanese translation placeholder for the 'product-capability' module. It indicates that the localized content is currently under development and not functional. Users should refer to the original English skill file for the core functionality and detailed implementation.

A conversational onboarding skill designed to deeply understand the user and define the core identity of an AI partner. Through adaptive, multi-phase dialogue, it extracts key behavioral traits, motivations, and relationship dynamics, culminating in the generation of a comprehensive SOUL.md file that governs the AI's personality and interaction style. Use this skill when setting up, personalizing, or updating your AI agent.

A comprehensive guide and skill set for optimizing Go (Golang) application performance. It establishes a core philosophy of profiling before optimizing, focusing on reducing allocations, improving CPU efficiency, and addressing structural anti-patterns. Provides systematic modes for deep review (hot path, architecture review) and follows an iterative methodology (Benchmark -> Diagnose -> Improve -> Compare) to ensure measurable and stable performance gains.

A comprehensive guide and skill set for implementing dependency injection in Go using the samber/do toolkit. It covers core concepts like defining services (Lazy, Eager, Transient), managing service lifetimes, handling dependencies via provider functions, and organizing large codebases using package-level injection.

This skill covers optimizing application performance across frontend, backend, queries, and databases. It guides users on measuring performance using tools like Lighthouse and RUM, identifying bottlenecks such as N+1 queries or slow server responses, and implementing fixes. It emphasizes measuring before optimizing to avoid premature optimization and includes targets for Core Web Vitals like LCP, INP, and CLS.