Skill UI

This technical skill is designed to verify the compatibility of the Codex CLI with skills compiled from MDA source. Loading this skill confirms that the CLI loader successfully parses the SKILL.md format, adhering to the agentskills.io v1 envelope subset. It is primarily used for testing build pipelines, metadata integrity, and ensuring robust compatibility between MDA compilation and runtime ingestion.

This demo skill verifies the compatibility of MDA-compiled SKILL.md files within the Claude Code environment. It confirms that the skill's frontmatter, metadata structure, and allowed tools are correctly parsed and honored by the loader, ensuring smooth integration of compiled content into the agent workspace. It is a technical utility for development validation.

This skill serves as an alias for the comprehensive debugging toolkit, enabling users to perform smart, guided debugging sessions. It assists in identifying errors, improving code quality, and walking through complex technical processes. Use it when you need structured help with debugging code in a defined environment.

This guide outlines a systematic workflow to eliminate copy-paste duplication (code clones) detected by tools like jscpd. It teaches developers how to refactor repeated code into shared functions, modules, constants, or base classes. Use this process when your codebase exhibits significant redundancy to improve maintainability, reduce technical debt, and enhance overall code quality.

This skill automates the complex compilation process required for LaTeX documents, specifically implementing the sequence: xelatex -> bibtex -> xelatex -> xelatex. It takes pre-assembled content (such as abstracts and body text) and compiles them into a cohesive, structured academic paper. Ideal for the final steps of scientific and technical writing.

nano-pdf is a robust command-line interface (CLI) tool designed to modify PDF documents. Instead of requiring complex PDF editing syntax, users can provide natural language instructions (e.g., 'Change the title to X and fix Y') to make precise edits to specific pages of a PDF. This drastically simplifies the content modification process for technical users and automates complex document handling tasks.

This tool acts as a pre-drafting planning mechanism for academic or technical writing. It analyzes the user's request to extract and structure detailed preferences, such as target audience, citation style, depth, and desired emphasis. It determines the optimal generation mode (direct or preference-driven) before any writing or research takes place, ensuring all required criteria are met systematically.

Details the PBIP (Power BI Project) format, which converts the opaque PBIX binary into a clear, structured, and editable set of text files. This guide covers project structure, cross-cutting operations (like renaming and forking), and the technical differences between Thick and Thin reports, enabling better Git integration and multi-author collaboration.

This advanced tool surfaces critical, often unrecorded, evidence of human-AI collaboration during development sessions. It analyzes git diffs and conversational context across multiple layers to classify the signal level (HIGH/MEDIUM/LOW), measure technical complexity, detect decision forks, and quantify the specific contribution of the AI model, providing structured data for post-session retrospectives and accountability.

Aria functions as a System Architect, responsible for establishing the definitive structural foundation of the entire system. She designs comprehensive blueprints covering the data model (schema, relationships, constraints), API contract specifications (endpoints, auth, pagination), modular file structure, and selection of core architectural design patterns. Her output ensures that no code is written without a rigorously defined, approved architectural plan, minimizing ambiguity and technical debt.

This skill guides you through a comprehensive, multi-phase interview to capture every necessary detail of a new project idea. It is designed to run BEFORE any code is written, forcing detailed specification gathering across purpose, features, data models, and technical constraints. The output is a clean, self-contained prompt.md file, ensuring subsequent development is based on solid, unambiguous requirements and preventing costly mistakes.

A comprehensive technical reference detailing idiomatic and efficient coding practices for the C language. It covers critical topics such as safe memory management, pointer handling, robust error checking, and modern string manipulation techniques, helping developers write reliable and performant C code.