Skill UI

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.

Structured Go debugging workflow that guides reproducing bugs, tracing root causes, and leveraging tools like tests, pprof, Delve, and race detector when programs crash, hang, or behave unexpectedly.

Complex Skill CLI wraps multi-line metadata and coordinates lark-cli plus Node.js binaries to expose a predictable helper for complex automation or deployment tasks within CLI-driven workflows.

Provides a minimal skill definition that only includes the required fields, showing how to structure SKILL.md for quick testing or deployment of basic examples.

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.

CLI helper that uploads local Apps Script assets (.gs, .js, .html, appsscript.json) to a project via `gws script +push`, replacing every file while skipping hidden folders and node_modules; specify the target script ID and optional directory.

A disciplined workflow that forces you to build in thin vertical slices, test, verify, and commit each working increment before moving on, ideal for multi-file features or large refactors.

This tool provides command-line capabilities for subscribing to and consuming real-time events from the Lark/Feishu platform. It streams various events (e.g., IM messages, reactions, member changes) as NDJSON, making it ideal for developing Lark bots, implementing real-time message processing pipelines, or powering long-running AI agents. Users can list available event keys, inspect schemas, and consume data with advanced filtering, timeout, and max-event controls.

Explores Feishu/Lark native OpenAPI docs when existing lark-* skills or CLI commands lack coverage, fetching markdown indexes stepwise to surface raw API specs and ready-to-run `lark-cli api` invocations.

A comprehensive guide detailing best practices for interacting with Lark/Feishu resources using the lark-cli. It covers initial configuration, distinguishing between user and bot identities, managing fine-grained scopes, and implementing mandatory confirmation steps for high-risk write operations, ensuring secure and accurate automation.

Guides developers to wrap Feishu API calls into reusable lark-cli skills, covering API research, command templates, and best practices for authentication, permissions, and orchestration.

Checks Microsoft SDK code by verifying API signatures, fetching docs, and finding Azure samples before writing or reviewing code that touches .NET or Microsoft APIs.