Skill UI

A powerful operational companion for database developers. This skill assists with the daily lifecycle of database interactions, including translating natural language requirements into optimized SQL queries, generating database migrations, performing comprehensive schema introspection across multiple dialects (PostgreSQL, MySQL, SQLite, SQL Server), and identifying performance bottlenecks through detailed query optimization and index recommendations. It also supports ORM patterns like Prisma and SQLAlchemy.

Customer research expert that synthesizes qualitative and quantitative signal. Analyzes transcripts, surveys, tickets, and online reviews to reveal pains, triggers, jobs-to-be-done, and customer language. Mines public sources such as Reddit and G2, and designs primary interviews and surveys to discover customer sentiment and market fit.

This skill guides developers on building LLM-powered applications using the Claude API, Anthropic SDKs, or the Agent SDK. It provides comprehensive guidance on language detection, best practices (like default model versions and streaming), and choosing the correct development surface (API call, Workflow, or Agent) based on the use case.

A comprehensive security tool designed to detect prompt injection attacks targeting Large Language Models (LLMs). It employs a multi-layered approach combining regex signature matching, structural anomaly scoring, and advanced DeBERTa transformer classification. It is essential for securing input validation layers in chatbots, AI agents, and RAG pipelines, and for retrospectively auditing LLM interaction logs against OWASP standards.

This comprehensive tool generates high-quality Mermaid diagram code (including flowcharts, sequence diagrams, ER diagrams, etc.) directly from natural language user requirements. It handles complex structured output, mandatory syntax validation using dedicated CLI tools, and detailed visual review to ensure the accuracy of all components and connections.

This skill acts as a Cognitive Psychologist, diagnosing a target audience's precise stage on the awareness ladder (from unaware to most aware). It applies psychological frameworks (like ELM) to calibrate the optimal messaging, language register, and persuasion strategy. Use it when you need to tailor marketing content, sales pitches, or educational materials based on the audience's current knowledge and readiness to buy, ensuring the message resonates and minimizes resistance.

This skill provides comprehensive security and monitoring for Large Language Model (LLM) powered trading agents. It helps to audit trade decisions, ensure compliance with risk parameters, and mitigate potential risks associated with automated financial operations.

Compresses natural-language memory files such as CLAUDE.md, todo lists, and preferences into terse caveman-style text to reduce input token usage. Preserves code blocks, inline code, URLs, headings, and important technical terms while backing up the original to an out-of-tree data directory.

Use Dart 3 language features—branches, patterns, pattern types, and records—correctly and idiomatically. Apply when writing or refactoring switch statements, if-else chains, creating data classes, choosing records vs classes, destructuring values, or modernizing pre-Dart-3 code.

This skill guides users to discover and install specialized agent capabilities from a vast open marketplace. It handles complex natural language queries like "how do I do X" or "find a skill for Y," ensuring the user receives the most relevant, high-quality, and battle-tested tools for development, testing, or design tasks, followed by secure, managed installation procedures.

This skill acts as a comprehensive Go modernization engineer, scanning entire codebases to update outdated patterns, deprecated APIs, and standard library usage. It utilizes multi-agent orchestration to check language features, testing patterns, and tooling/infra, ensuring the codebase adheres to the latest Go idioms for maximum safety and readability. Ideal for CI/CD pipelines or large-scale code reviews.

A comprehensive skill for performing deep security audits and writing secure code in Go. It guides developers through identifying vulnerabilities like SQL injection, XSS, path traversal, and crypto misuse. The framework incorporates advanced techniques such as STRIDE/DREAD threat modeling, data flow tracing, and multi-stage review modes (Audit, Review, Coding), ensuring defense in depth for robust Go applications.