Skill UI

Converts text-based documentation into structured Markdown by following explicit instructions, documented options, or reference files, supporting header levels, patterns, platforms, and cleanup steps for polished technical documents.

Explains Fabric Lakehouse storage, data organization, security, shortcuts, and optimization practices so you can design, build, and monitor Lakehouse solutions leveraging Microsoft Fabric best practices.

This script provides a lightweight, standalone Python integration for Google Sheets, offering full read and write access without needing a dedicated server. Users can retrieve spreadsheet data in multiple formats (plain text, CSV, JSON), extract specific ranges, find sheets via search queries, and perform advanced write operations like updating, appending, or clearing cell values. It is highly suitable for automating data reporting, extraction, and workflow integrations involving Google Workspace.

Provides an expert Spring Boot 4 testing guide that explains the test pyramid, slice annotations, AssertJ-centric assertions, MockMvcTester, RestTestClient, Testcontainers, and practical coverage goals.

This skill systematically reviews test code to identify and correct common anti-patterns. It detects issues such as flaky tests, overly mocked dependencies (over-mocking), brittle assertions, excessive test size (The Giant), and structural dependencies. It explains the flaw, provides best practices, and suggests refactored, reliable implementations, helping maintain high test quality and stability.

Transform raw ideas, articles, or technical material into polished, engagement-optimized LinkedIn posts. This skill leverages Unicode typography (bold, italic) to simulate rich formatting that respects LinkedIn's plain text limitations. It utilizes proven structural patterns (Hook → Content → CTA, Listicle, Story) and best practices for professional social media marketing, helping users create high-impact, scannable thought leadership content.

A comprehensive guide for optimizing query latency in Qdrant. This resource explains advanced performance tuning techniques, focusing on critical resource management like RAM utilization, segment count adjustments, and HNSW parameter tuning. It details strategies for scaling, quantization, and hardware considerations (e.g., local NVMe) to ensure consistently low-latency search performance, and outlines common pitfalls to avoid.

SHAP (SHapley Additive exPlanations) provides a unified, robust framework for understanding complex machine learning models. It calculates feature importance using Shapley values from game theory, allowing users to interpret individual predictions, analyze model bias, visualize feature interactions, and debug model behavior. Applicable across deep learning, tree-based, and black-box models.

A comprehensive guide for Amazon Aurora DSQL, a serverless, PostgreSQL-compatible distributed SQL database. This skill covers the entire database lifecycle, including schema management, direct query execution, complex data migrations (e.g., MySQL to DSQL), and advanced performance tuning via query plan analysis (EXPLAIN ANALYZE). Essential for secure, multi-tenant application development.

This guide provides comprehensive troubleshooting for common Attio REST API errors, detailing specific HTTP status codes (e.g., 400, 401, 429, 422). It explains the required error response format, common causes (like invalid scopes or rate limits), and actionable, proven fixes using code examples and best practices.

This workflow converts complex clinical encounter notes into plain-language, patient-facing After-Visit Summaries (AVS). It structures key information such as diagnosis, next steps, and medications. The system supports multi-language translation and facilitates pushing the final, readable summary directly to patient portals using FHIR standards.

This skill generates professional, customized legal agreements for 10 common business relationships, including Freelancer contracts, Partnerships, NDAs, and MSAs. Using an information-gathering wizard, it collects essential details to generate highly structured documents with type-specific clauses and plain English annotations. Ideal for formalizing complex business relationships and drafting service contracts from scratch.