Skill UI

This skill demonstrates OpenCode's compatibility with MDA-compiled SKILL.md files. It verifies that the loader correctly parses crucial frontmatter fields (like name, description, and metadata) after the source has gone through the MDA compilation process, ensuring robust skill integration and data integrity.

This skill automates the entire process of compiling a complex LaTeX academic paper. It orchestrates multiple compilation steps (xelatex, bibtex, xelatex x 2) to render a final PDF from assembled inputs, including abstract, body, and bibliography. Ideal for generating professional, formatted scholarly articles and technical reports.

This meta-skill automates the compilation of comprehensive daily briefings. It integrates local weather data and gathers the latest news on a user-defined topic. The gathered information is then synthesized and summarized into a single, structured digest, which is finally saved into long-term memory for easy recall and review.

This meta-skill orchestrates the entire workflow for generating or revising academic research papers or LaTeX manuscripts. It handles complex processes including source searching, citation planning, figure/table placement, structured drafting, length verification, and final LaTeX/PDF compilation. Users can select between a compact outline and a full, publication-ready long-form manuscript.

This expert skill guides the creation of commercial-grade, highly optimized, and professional Windows installers for Python applications. It leverages Nuitka for extreme compilation (LTO, slimming, 32/64-bit selection) and Inno Setup for robust packaging. The goal is to deliver the smallest size, fastest startup time, and a residue-free user experience, strictly avoiding basic single-file builds. Ideal for professional software deployment.

This skill executes the metaharness score to provide a comprehensive, multi-dimensional readiness scorecard for a codebase. It assesses critical dimensions like compilation confidence, task coverage, tool safety, and memory usefulness. Use it to evaluate if a repository is prepared for harness adoption before initiating development tools or framework setup.

This comprehensive guide outlines a multi-stage verification pipeline for Quarkus applications. It covers build artifacts, static analysis (Checkstyle, SonarQube, PMD), comprehensive testing (Unit, Integration, API), security scanning (OWASP, dependency checks), native compilation, and performance testing (K6). Use this before PRs or deployments to ensure code quality and stability.

A comprehensive guide for performing reverse engineering using Ghidra. This skill is essential for scenarios where commercial tools like IDA are unavailable, or when performing large-scale, automated headless analysis. It covers the entire workflow, from project setup and function decompilation to advanced headless scripting and integration with other exploit tools.

This tool monitors the health of a Git worktree by checking background verification tasks (type checking, unit testing, and build compilation). It analyzes dedicated log files to provide a non-blocking, actionable summary of whether the branch is stable, helping developers quickly identify failures before committing.

A comprehensive methodology for deep security testing of both Android (APK) and iOS (IPA) applications. This guide covers the entire workflow, from initial information gathering and static analysis (decompilation, code structure analysis) to advanced dynamic instrumentation, network interception, and bypassing modern security measures like SSL Pinning, Root/Jailbreak detection, and anti-debugging.