Skill UI

The Stock Analyzer Skill provides comprehensive technical analysis for stocks and ETFs. It utilizes industry-standard indicators like RSI, MACD, and Bollinger Bands to generate actionable trading signals. Users can perform advanced technical comparisons, monitor portfolio strength, and identify chart patterns through natural language queries, eliminating the need for manual indicator calculation.

Captures coding session learnings by extracting corrections, successes, and anti-patterns with confidence scoring so teams can track, reinforce, and reuse technical knowledge across projects.

A comprehensive guide and technical framework for detecting and mitigating ransomware kill switch mechanisms. It details methods for analyzing mutex guards, domain-based communication, and registry checks. Learn how to deploy proactive mutex vaccination and use Sysmon/DNS monitoring to prevent malware execution during incident response and analysis.

A comprehensive tool for discovering, vetting, and evaluating Laravel packages. Users can search for packages based on keywords, filter by health score (e.g., Healthy, Unhealthy), and verify compatibility across different Laravel and PHP versions. It helps developers choose actively maintained, robust packages, ensuring project stability and reducing technical debt.

This tool transforms natural language requirements into high-quality, structured Mermaid diagrams. It supports over 20 diagram types, including Flowcharts, Sequence Diagrams, Class Diagrams, ER Diagrams, and Gantt Charts. The process includes parsing requirements, generating raw Mermaid code, and verifying syntax using industry-standard tools, ensuring accurate and professional visualizations for technical documentation.

A sophisticated, multi-stage workflow designed to generate publication-quality technical illustrations, such as architecture diagrams and complex method figures, for academic papers. It utilizes a strict, iterative loop supervised by an advanced AI (Claude) to refine layout, color compliance, and structural correctness, ensuring high fidelity and professional standards across multiple rendering passes.

This tool runs comprehensive diagnostics on the current context mode environment. It checks the status of critical components, including runtimes, hooks, FTS5, plugin registrations, and versions for npm and the marketplace. Use this skill to quickly identify potential technical issues or configuration inconsistencies, ensuring smooth system operation.

This skill provides a robust system for tracking all code modifications using structured JSON records and enforcing a defined state machine (e.g., planned -> deployed). It is critical for AI coding workflows, ensuring that if a session expires or is abandoned, the next session receives the full context, progress summary, and blockers to resume seamlessly. Ideal for complex, multi-stage development projects and onboarding new codebases.

An ultra-compressed communication mode designed to drastically reduce token usage (by up to 75%) while maintaining absolute technical accuracy. By stripping away filler words, articles, and pleasantries, it optimizes communication for maximum information density. Ideal for intensive technical debugging, coding, and high-stakes discussions where brevity and precision are paramount. Supports multiple intensity levels.

This utility compresses verbose natural language notes, memories, and documents (like markdown files) into a highly dense format. By eliminating filler words, redundant phrases, and grammatical fluff, it significantly reduces the token count for large inputs. Crucially, it strictly preserves all technical content, including code blocks, inline code, URLs, file paths, and commands, ensuring technical accuracy while boosting AI processing efficiency.

A comprehensive guide for writing, reviewing, and structuring technical documentation for Go projects. It covers best practices for godoc comments, READMEs, contribution guidelines, and changelogs, ensuring documentation is accurate, discoverable, and tailored for both human readers and AI agents. Applicable to both libraries and CLIs.

Creates high-fidelity visuals through structured JSON prompts and a Python generator script, handling subjects, styles, references, and technical specs for characters, scenes, or products.