Skill UI

Command-line utility to append rows into a Google Sheets spreadsheet, supporting single-row values, bulk JSON payloads, and targeting specific sheet ranges for automation workflows.

Command-line helper in the gws toolkit that fetches values from a specified Google Sheets spreadsheet via spreadsheet ID and range arguments, keeping the interaction strictly read-only for reporting or automation tasks.

This guide outlines comprehensive best practices for documenting C# APIs using XML comments. It provides detailed rules for writing summaries, documenting parameters, return values, constructors, properties, and handling exceptions. Following these standards ensures that C# codebases are highly maintainable, readable, and easily understood by other developers.

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.

Bulk migrate repo labels and Project V2 metadata into GitHub org issue fields, converting label-based tags into typed fields, optionally removing old labels, and syncing project field values for cleaner structured issue tracking.

This skill helps developers accurately find and explore the correct Windows API for specific platform capabilities, such as file access, camera usage, notifications, or UI controls. It searches a comprehensive local cache of WinMD metadata, providing full technical details including methods, properties, events, and enumeration values for APIs sourced from the Windows Platform SDK and WinAppSDK. It is indispensable when building complex features requiring deep integration with the Windows operating system.

This technique guides users to use precise chemical compound names, specific concentration values (e.g., "1.5 mg/L"), and taxonomic synonym counts as exact-match search anchors when querying biological literature. By leveraging quotation marks and combining multiple specific terms, it uniquely identifies research papers or species details, greatly improving search precision in biochemistry and botany.

This skill provides bounded, local exploratory data analysis for diverse scientific data files, including CSV, JSON, HDF5, and image metadata. It rigorously audits data structure, detects missing values, and identifies outliers in a secure, sandboxed environment. It is designed exclusively for pre-modeling data integrity checks and must not be used to infer scientific meaning or make causal claims.

SHAP (SHapley Additive exPlanations) is a powerful technique used to interpret and audit machine learning model predictions. It calculates feature attributions (SHAP values) to explain how input features map to model outputs. This skill guides users through selecting appropriate explainers, handling multi-output models, validating feature attributions, and generating visualizations for both local and global model understanding.

This workflow is designed for developers building design-to-code pipelines. It connects to Figma via API to extract core design tokens, including colors, typography styles, and spacing values. It converts these raw design assets into structured code formats, such as CSS custom properties, JSON tokens, and Tailwind configurations, ensuring design consistency across development environments.

This guide addresses critical LangGraph streaming pitfalls, including state overdraw, proxy buffering issues (Nginx, Cloud Run), and excessive event noise. It provides a production-grade pattern for implementing robust SSE/WebSocket endpoints using FastAPI. Learn how to correctly select the `stream_mode` (messages, updates, values) and implement server-side event filtering to reliably build live-token chat UIs and perform comprehensive state visualization.

This module provides multiple abstractions and hooks for interacting with the browser's LocalStorage API within an administrative context. It offers specialized utilities, including direct service access (LocalStorage instance) and advanced React hooks (useLocalStorage, useLocalStorageValues). These tools enable component developers to imperatively call services or efficiently observe single or multiple keys, ensuring consistent state management and proper re-rendering when local state changes.