Skill UI

A meta-skill that evaluates task complexity, selects and combines appropriate skills from local or catalog sources, records successful skill combinations via agent-memory-mcp, and guards against over-engineering simple tasks.

Enables cross-version binary symbol migration using LLM-based comparison. Recovers function names in updated binaries without PDBs by comparing old symbolized binaries with new stripped ones. Outputs YAML mappings for automated renaming. Ideal for reverse engineering maintenance, software updates, and kernel driver analysis where symbols are missing.

This skill performs a comprehensive architecture audit on codebases by mapping module dependencies and checking layering integrity. It identifies structural decay using principles from classic engineering books. The tool generates Mermaid dependency graphs, assesses testability seams, and applies Conway's Law checks to ensure architectural health. It is suitable for developers needing to understand codebase structure, review folder organization, or detect circular imports before refactoring.

Identifies, classifies, and prioritizes maintainability problems to help teams build a refactoring roadmap, drawing on twelve classic engineering books.

AI code reviewer grounded in 12 classic software engineering books. It detects design smells, tight coupling, missing abstractions, stability gaps and data-integrity risks that ordinary linters and AI tools typically miss.

PR code reviews identify decay risks, design smells, and maintainability issues. Uses findings structured as Symptom, Source, Consequence, and Remedy based on twelve classic engineering books. Applies the Iron Law to every finding. Outputs a standardized report for software engineering tasks requiring deep code quality analysis.

This skill reviews test suite quality using established testing literature to identify brittleness, mock abuse, unclear fixtures, weak assertions, slow feedback, and maintenance risks. It diagnoses structural problems in existing test suites based on classic engineering books like xUnit Test Patterns and The Art of Unit Testing, ensuring robust and maintainable testing practices.

This skill enables authorized reverse engineering of Chrome and Firefox browser extensions. It involves analyzing manifest files, background workers, and content scripts to investigate credential handling, data exposure, and malicious behavior. Suitable for security audits, supply chain poisoning investigations, and understanding extension logic through static and dynamic analysis using tools like DevTools and Frida.

This expert analyzes and refactors existing codebases to enhance quality, maintainability, and performance. It specializes in applying clean code principles, SOLID design patterns, and modern software engineering best practices. Use it to clean up technical debt, simplify complex modules, or prepare a codebase for new feature development.

This skill covers predictable performance degradation patterns in language models as context length increases, including lost-in-middle effects, context poisoning, and distraction. It helps diagnose agent failures and design resilient systems by understanding attention mechanics and context engineering strategies for production environments.

This skill covers the core concepts of context engineering for language models, including system prompts, tool definitions, retrieved documents, message history, and tool outputs. It explains attention mechanisms, context windows, and strategies like progressive disclosure to optimize token usage and agent performance.

This skill specializes in advanced AI context engineering, managing dynamic information flows, vector databases, and knowledge graphs. It assists in building intelligent memory systems, optimizing context windows, and orchestrating multi-agent workflows. Ideal for enterprise-scale AI applications requiring coherent state management, RAG implementation, and semantic retrieval strategies to enhance system performance and reliability.