Skill UI

Generates structured CodeTour `.tour` files in JSON format for detailed, step-by-step code walkthroughs. This tool is essential for onboarding new engineers, conducting architectural reviews, or documenting complex PR changes. It provides a guided narrative that directs users to specific files and line anchors, ensuring a structured and focused learning journey.

Generates complete, runnable Python scripts utilizing the python-pptx library to automatically build polished PowerPoint presentations. This skill transforms a topic brief into a structured slide deck script, ensuring real content, logical flow, and a working save function, perfect for demos, reports, or educational materials.

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.

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.

This skill guides the complete performance measurement workflow for Go applications. Learn how to write robust benchmarks using b.Loop(), run tests with specific flags (-benchmem, -count), generate detailed profiles (CPU, memory, trace), and statistically compare results using tools like benchstat. It ensures optimization decisions are data-driven, preventing performance regressions in CI/CD.

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.

Guides Flutter/Dart teams on using Mockito for generating mocks, stubbing behavior, verifying interactions, capturing arguments, and managing fake versus real objects so tests stay predictable and maintainable.

This tool generates ultra-compressed, standardized commit messages adhering strictly to the Conventional Commits specification. It analyzes code changes (diffs) to extract the core intent, structuring the output into a precise subject line and an optional body. It ensures that commit history remains clean, highly readable, and instantly understandable, significantly reducing noise and maintaining professional version control standards.

Streamlines the process of providing code review feedback by enforcing a highly structured, ultra-compressed format. It guides users to cut through noise and deliver actionable, single-line comments (Location: Problem. Fix.) while maintaining critical context like severity and technical rationale. Ideal for team settings prioritizing efficiency and high code quality.

This skill provides robust mechanisms to verify the integrity of AI agent plugins, tools, and dependencies. It generates deterministic SHA-256 manifests (INTEGRITY.json) for all components, allowing users to detect unauthorized modifications, track provenance, and ensure that deployed assets match their published versions. Use this during CI/CD pipelines, code review, and pre-production promotion to secure the entire agent ecosystem.