Skill UI

A powerful Go library providing type-safe monadic types like Option, Result, and Either. It helps developers adopt functional programming patterns, ensuring that impossible states (like nil pointers or unhandled errors) are unrepresentable at the type level. This is essential for building robust, reliable, and highly composable Go services.

A comprehensive Go implementation of ReactiveX for building declarative, type-safe pipelines for asynchronous data streams. It manages complex event sources, handling automatic backpressure, error propagation, and context integration. Ideal for real-time data processing, WebSockets, and event-driven architectures where manual goroutine and channel wiring is complex.

This skill provides comprehensive composable handlers for Golang structured logging using the samber/slog ecosystem. It enables developers to build robust, multi-stage log pipelines by integrating sampling for throughput control, formatters for PII scrubbing, complex routers, and multiple backend sinks (e.g., Sentry, Loki, Datadog). It is essential for building high-observability Go applications.

This comprehensive skill provides a senior Go security engineer persona, guiding users through rigorous security practices for Golang development and code auditing. It covers threat modeling (STRIDE), vulnerability analysis (DREAD), secure development principles, and specialized modes like Review and Audit to detect issues such as injection, crypto flaws, and authorization weaknesses.

Guides Go developers through struct/interface design best practices, covering interface segregation, composition, dependency injection, type assertions, and choosing pointer vs value receivers to keep APIs clear and testable.

Creates a new Google Model Armor template via `gws modelarmor +create-template`, requiring project, location, and template ID, with optional preset or JSON payload; aimed at bootstrapping safety filters before sanitization commands.

This skill provides comprehensive functionality for reading, creating, editing, and downloading content from Lark Feishu Docs (Docx/Wiki). Whether accessing via URL or token, it supports structured content manipulation using both XML and Markdown formats (v2 API). Use it for fetching document details, updating specific blocks, and managing embedded media and resources like whiteboards and images. Note that it requires prerequisite knowledge for advanced operations.

A robust CLI tool for connecting to Lark/Feishu real-time events. It allows streaming, subscribing, and consuming various events (e.g., IM messages, reactions, meeting updates) as NDJSON output. Ideal for developing Lark bots, building real-time message processors, or implementing long-running streaming webhook handlers, especially in AI agent subprocesses.

This guide details the functionalities for interacting with Lark Instant Messaging (IM). It covers core concepts like message types, threads, reactions, and flags, and provides methods for managing chat history, creating/managing groups, and handling various message resources (images, files, videos). It is essential for applications needing robust chat communication capabilities.

This guide details best practices for using `lark-cli` to interact with Feishu resources. It covers initial configuration, switching between user and bot identities, and crucial authentication flows for AI agents. It provides detailed instructions on handling permission errors, implementing secure split-flow authentication, and managing high-risk write operations to ensure data integrity and user consent.

Guides Dart/Flutter developers on using the mocktail package to replace dependencies in tests by defining mocks or fakes, registering fallback values for custom types, stubbing async methods, and verifying interactions with named arguments and matchers.

Persona for IT administrators to monitor Workspace security, configure Drive sharing policies, and run workflows for standup reporting and audit review while emphasizing dry-run checks and auth-status verification.