Skill UI

Describes how to analyze a repository, prioritize key docs, and author an llms.txt entry so LLMs immediately understand the project scope, documentation clusters, and configuration artifacts they should consult.

This system treats ideas like living species on an 'evolution island.' Instead of simple storage, it runs structured, multi-round iterations simulating biological processes: competition, crossbreeding, and mutation. Users input initial concepts, and the tool systematically evaluates them using a 6-dimensional scoring framework (Novelty, Feasibility, Value, etc.). It helps users deepen viability, discover unexpected connections between disparate ideas, and prioritize the most robust concepts for development and investment.

Reads `.agent.md` or `.prompt.md` files, assesses task complexity, tooling, and requirements, then recommends the most cost-efficient GitHub Copilot model(s) (e.g., GPT-5, Claude Sonnet) with rationale for users across different subscription tiers and priorities.

This tool searches the current GitHub repository and retrieves all issues explicitly assigned to the user. It goes beyond simple listing by analyzing key issue metadata—such as age, comment volume, and current status (open/closed)—to proactively suggest which issues require immediate attention or focus. It is indispensable for contributors, project managers, or developers who need a quick, prioritized overview of their assigned workload.

This skill provides structured procedures for managing NuGet packages in .NET projects and solutions. It strictly enforces the use of the `dotnet` CLI for adding, removing, and updating dependencies, prioritizing project integrity. It guides users through a mandatory workflow for version updates, including version verification and running `dotnet restore`, ensuring a stable and consistent development environment.

Generates a structured, actionable integration testing plan for data access artifacts migrating from Oracle to PostgreSQL. The tool analyzes a single target project to identify repositories, DAOs, and service layers, prioritizing tests based on Oracle-specific features and known behavioral differences (e.g., date/time handling, type coercion). It ensures comprehensive test coverage for crucial database interactions.

This tool performs a comprehensive audit of website images to ensure optimal SEO and web performance. It checks for proper alt text descriptions, recommends modern formats (WebP, AVIF), validates file sizes, and verifies responsive image implementation using `srcset` and `sizes`. Furthermore, it guides best practices for lazy loading, prioritizing LCP images, and preventing Cumulative Layout Shift (CLS) by checking for dimensions.

Conducts STRIDE-A threat modeling on repositories or systems, running either a full single-pass analysis with architectures, DFDs, prioritized findings, and executive assessments, or an incremental update that compares a baseline report to the current code and highlights deltas.

A comprehensive guide and mechanism for ensuring development work occurs in an isolated environment using native worktree tools or falling back to manual git worktree creation. It guides users through mandatory steps like detecting existing isolation, prioritizing native tools, and verifying the clean state before development begins.

This technique guides users on how to construct highly effective search queries for movies. When a movie question contains both general plot descriptions and highly specific details (such as exact quotes, precise rating language, or specific award names), the user must prioritize the most discriminative clue. By focusing on unique identifiers, this method significantly improves the accuracy and efficiency of information retrieval.

This technique guides users on how to construct highly specific search queries for academic papers. Instead of relying solely on broad topic keywords, users should prioritize combining concrete numerical identifiers—such as exact sample sizes, population percentages, concentration levels, or specific year ranges—with methodological terms and discipline keywords. Using these numerical anchors significantly increases the uniqueness and precision of the search results, helping to pinpoint the exact study required.

This skill teaches how to dramatically improve the accuracy of historical research queries. When searching for information about a historical figure, rather than relying on generic facts (like era or nationality), users should identify and prioritize the most unique, specific, or niche details—such as a unique object, a rare event, or an uncommon biographical fact. By using these distinctive details as quoted search anchors, the search results become highly targeted, overcoming the limitations of broad, general queries.