Skill UI

This skill pulls the latest GEO-SEO components, including skills, agents, scripts, and schema templates, from the official upstream repository. It performs a detailed comparison (diff) to show all changes—new, modified, or removed—before applying the update. It ensures local customizations are preserved while keeping the toolkit current. Use this whenever you suspect your local setup might be outdated.

Automates the end-to-end software release workflow for a GitHub repository. This skill handles Semantic Versioning (SemVer) version bumping, analyzes code changes by generating sophisticated diffs, and automatically creates a formatted changelog and release pull request. It relies exclusively on the GitHub CLI (gh) and Git for robust version control and deployment.

Logic Lens is an advanced AI skill that performs deep, formal logic-driven code review. Unlike standard linters, it analyzes code for complex issues like race conditions, security vulnerabilities (SQL injection, XSS), type safety flaws, and algorithmic errors across 9 critical risk categories. It is ideal for pre-merge PR reviews, auditing sensitive code paths, and refactoring complex business logic.

Create a single-file HTML presentation deck in an editorial magazine and e-ink style, with swipe navigation, WebGL fluid backgrounds, serif headlines, sans-serif body text, and modular layouts for talks, launches, and shareable presentations.

A tool that generates and opens a GitHub Pull Request (PR) dashboard in the browser. Users can specify precise criteria, including date ranges (e.g., 'last 7 days', 'this month') and specific roles (e.g., 'Authored by me', 'Requested reviews'), to view detailed PR activity. Requires GitHub CLI authentication for full functionality.

Cavecrew provides a set of specialized subagents (investigator, builder, reviewer) designed for efficient code development delegation. Unlike vanilla agents, Cavecrew compresses output results, drastically reducing the token usage injected back into the main context. This allows users to maintain context over much longer, complex coding sessions, effectively preventing context exhaustion during large-scale refactoring, debugging, or multi-step feature development.

A powerful code-generation toolkit for Dependency Injection in Golang. Wire resolves the entire dependency graph at compile time, emitting plain Go constructor calls. This approach eliminates the need for runtime containers or reflection, ensuring that dependency issues are caught during the `wire ./...` step, long before the application starts. It is ideal for building robust, large-scale Go applications.

A comprehensive guide to using the spf13/viper library in Go for robust, layered configuration management. This skill details how to handle configuration precedence from multiple sources—including command flags, environment variables, config files (JSON, YAML, TOML), and remote KV stores. Learn advanced techniques like source binding, structured unmarshaling with mapstructure, and hot reloading for building reliable Go applications.

A powerful tool designed to automatically generate comprehensive OpenAPI/Swagger documentation for Go RESTful APIs. By using specific annotation comments (@Summary, @Param, @Router, etc.) within the Go source code, developers define the precise API contract. It supports multiple popular web frameworks (Gin, Echo, Fiber) and complex security definitions (JWT, OAuth2), ensuring the documentation is always accurate and serves as the single source of truth for API consumers. Ideal for maintaining structured, production-grade APIs.

This skill analyzes the comprehensive commit history between two branches to generate a concise, objective, and highly structured Pull Request (PR) description. It automatically groups changes by domain, summarizing the purpose, technical notes, and user impact, ensuring consistency and minimizing manual documentation effort.

This comprehensive, zero-trust security auditor scans third-party AI agent skills before installation. It performs a rigorous 6-phase review process, analyzing surface patterns, script integrity, permissions, and supply chain risks. It is designed to detect malicious payloads, credential theft, instruction overrides, and prompt injection attacks, ensuring secure AI development and deployment.

This skill assesses the AI readiness of a codebase by running a comprehensive audit against multiple technical and governance pillars. It generates a self-contained, detailed HTML dashboard that provides an overall maturity score, identifies strengths, and, most importantly, delivers a prioritized remediation plan (Fix First / Fix Next). Ideal for auditing repositories before major AI feature development.