Skill UI

Manage BrowserWing’s intelligent browser automation platform: install Chrome, configure LLM providers, generate AI-explored scripts, and operate the script lifecycle through HTTP APIs for autonomous exploration, execution, and troubleshooting.

This skill provides a comprehensive workflow to transform raw data into professional visual charts. It intelligently analyzes data features (e.g., trends, comparisons, flows) to select the optimal chart type (line, bar, pie, etc.). Users provide data and specifications, and the skill generates a high-quality, detailed chart image using a structured JavaScript process.

This guide provides detailed best practices for writing and maintaining comprehensive End-to-End (E2E) test cases for the 'lark-cli' tool. It covers the entire workflow, from exploring live help documentation and identifying leaf commands, to structuring state-proving tests (e.g., read-after-write assertions) and generating the required `coverage.md` artifact. Use this when adding or significantly updating E2E coverage for any specific functional domain.

Generates professional documentation for software projects, covering READMEs, API references, architecture guides, inline comments, and changelogs, adapting style and scope to the codebase and user request.

Generates consulting-grade research reports in markdown, guiding users through framework creation and final synthesis across market, finance, brand, and industry domains with strict data traceability.

A comprehensive skill for generating non-generic, professional frontend interfaces, perfect for landing pages, portfolios, and product redesigns. This agent enforces a strict design methodology: reading the user's brief (audience, vibe, constraints) first, configuring global design dials (variance, motion, density), and recommending real, industry-standard design systems (like Material or Fluent UI) to ensure the output is always polished and contextually appropriate.

This skill guides developers on integrating Firebase AI (Gemini) into Flutter applications. It covers essential topics including initial setup and configuration, generating text and managing multi-turn chat responses, implementing real-time streaming output, handling multimodal prompts (text and images), and ensuring robust error handling, security, and adherence to data privacy best practices.

Guides building production-ready user interfaces with thoughtful component architecture, consistent spacing, typography, color, and accessibility standards while avoiding generic AI aesthetics and over-configured patterns.

Enforces full, unabridged code and document generation by overriding LLM truncation safeguards, forbidding placeholder patterns, and managing token-limit splits so every requested deliverable is returned complete.

A Lodash-inspired, generics-first utility library providing 500+ type-safe functions for common data transformations in Go. It eliminates boilerplate code associated with manual loops, offering declarative methods like Map, Filter, Reduce, and GroupBy. The library supports core immutable operations (lo), concurrent variants (lop), mutable mutations (lom), and lazy iterators (loi), allowing developers to choose the optimal approach based on performance profiling and memory constraints. Ideal for implementing robust, type-safe data pipelines.

Provides the Google Model Armor CLI to filter user-generated content and run template-guided sanitization for prompts or responses, helping teams enforce safety policies during automation workflows and schema-driven inspections.

Generates a standup-ready summary that combines today’s calendar meetings with open tasks via the GWS workflow command, offering JSON, table, YAML, or CSV output to keep updates concise and ready for reporting.