Skill UI

Implements an ultra-compressed communication mode by drastically reducing token count while maintaining high technical accuracy. This mode strips filler words, articles, and pleasantries, allowing users to communicate complex technical concepts in the most concise way possible. Ideal for debugging, generating logs, or highly efficient development conversations. Supports multiple intensity levels, including classical Chinese modes.

This skill provides a comprehensive guide on securely integrating and calling Firebase Cloud Functions from Flutter applications. It covers the proper use of `httpsCallable` to invoke structured server-side logic, handling data serialization, implementing robust error handling (including permission denial and timeouts), configuring regional deployments, and utilizing the Firebase Emulator Suite for reliable local testing.

Diagnoses and explains fixes for Flutter runtime and layout errors such as RenderFlex overflow, unbounded constraints, scroll-controller conflicts, and inappropriate setState calls during build, helping developers resolve issues quickly.

This skill provides a comprehensive framework for measuring Go application performance. It guides users through writing robust benchmarks using `testing.B`, running tests with various flags (`-benchmem`, `-cpuprofile`), interpreting complex profiling data (pprof), statistically comparing results using tools like `benchstat`, and setting up CI regression detection. It is essential for deep performance analysis and making statistically sound optimization decisions.

This comprehensive guide covers Dependency Injection (DI) patterns specifically for Golang. It explains why DI is crucial for building testable, loosely coupled, and maintainable services. The skill compares manual constructor injection for small projects with advanced DI libraries (like google/wire, uber-go/dig) for complex architectures, focusing on best practices such as interface-based design and managing service lifecycles.

A library providing structured error handling for Go applications, moving beyond standard Go errors. It uses a fluent builder pattern to attach rich metadata—including domain context, user IDs, stack traces, custom attributes, and machine-readable error codes—directly to the error object. This ensures that crucial contextual data travels up the call stack, making errors highly diagnosable for on-call engineers and compatible with APM tools like Datadog or Sentry.

Uploads a file to Google Drive via the gws CLI and automatically infers metadata such as MIME type and filename, with optional parent folder or custom name flags for scripting and automation.

Announce a Google Drive file inside a Chat space via the `gws workflow +file-announce` command, automatically pulling the file name and supporting optional custom messages and formats.

A utility for interacting with the Lark/Feishu communication directory. It allows users to search for employees by name or email to obtain an open_id, or use an open_id to retrieve comprehensive profile data, including department, contact details, status, and signature. Ideal for preparing information before sending messages or scheduling events. Note that department tree traversal and organizational structure mapping require native OpenAPI calls.

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.

This comprehensive workflow automatically retrieves and synthesizes your day's schedule (meetings and events) and uncompleted to-do tasks. It generates a structured 'Standup Report' or daily briefing, featuring conflict detection, time zone conversion, and a clear overview of all commitments and pending items. Ideal for morning standups or checking daily readiness.

Describes how to use the MemOS local memory toolkit to recall past conversations, search shared histories, and choose the right memory tool when automatic recall is insufficient.