Skill UI

This skill guides the systematic execution of a detailed, written development plan. It mandates a critical review phase to identify dependencies, vague requirements, and environment assumptions before starting. The process involves tackling tasks sequentially, performing rigorous verification (testing/checking), committing changes after each milestone, and systematically handling common exceptions like test failures or dependency gaps. It ensures a disciplined, traceable, and reportable development cycle.

This skill guides developers through the final stages of a development branch workflow. It enforces critical best practices by requiring a test verification step before presenting structured options. Users can choose between local merging, creating a Pull Request (PR), retaining the branch state, or safely discarding the work, ensuring a clean and repeatable integration process.

A comprehensive, four-stage methodology for debugging complex software issues, ensuring that fixes target the root cause rather than merely masking symptoms. This guide mandates rigorous investigation (gathering evidence, tracing data flow), pattern analysis, controlled hypothesis testing, and disciplined implementation via test-driven development. Use this when facing production bugs, test failures, performance degradation, or unexplained system behavior, especially under time pressure.

A comprehensive guide on conducting effective and professional code reviews, tailored for domestic team cultures. It teaches techniques like using suggestions instead of commands, framing feedback as questions, implementing clear severity levels, and maintaining proper mixed Chinese/English annotation standards. Essential for improving code quality while preserving team harmony.

This technique is used when multiple failure points (e.g., different test files or subsystems) are discovered, and these failures are independent of each other. Instead of debugging them sequentially, you dispatch separate, focused AI agents to work on each problem domain concurrently. This maximizes efficiency by allowing parallel investigation, dramatically reducing the time spent on large-scale debugging tasks.

A comprehensive guide for software developers on how to respond to code review feedback with technical rigor. It emphasizes questioning, verification, and evidence-based rebuttal, moving beyond superficial agreement. Learn how to handle ambiguous feedback, apply the YAGNI principle, and maintain technical integrity in collaborative development environments.

This guide outlines the structured methodology for initiating code reviews using a dedicated sub-agent. It dictates when (after completing tasks, implementing critical features, or before merging) and how to provide the necessary context (SHA hashes, implemented code, requirements) to ensure the work product is thoroughly evaluated. By adopting this process, developers can catch architectural flaws and bugs early in the development lifecycle, improving code quality and maintainability.

This skill automates the creation and setup of isolated Git worktrees. It ensures safe development environments by following strict directory selection logic, performing mandatory gitignore checks, and automatically installing dependencies (npm, pip, cargo, etc.) and running baseline tests for the new branch. Essential for starting feature development or implementing plans in a clean, verifiable workspace.

This guide provides a comprehensive overview of KubeSphere's DevOps capabilities, covering CI/CD pipeline setup, Jenkins integration, and GitOps deployment using ArgoCD. Learn how to automate builds, testing, and multi-cluster deployments within a Kubernetes environment, making it essential for managing modern software release pipelines and troubleshooting complex DevOps workflows.

This skill guides the management of CI/CD pipelines within KubeSphere DevOps. It utilizes Kubernetes Custom Resources (CRs) to define, trigger, and monitor complex build workflows, seamlessly integrating with Jenkins concepts in a cloud-native manner. Use it for automating build, test, and deployment processes for applications running on Kubernetes.

This skill guides users on operating the FrontendIntegration resources and the associated frontend-forge extension using kubectl. It covers the full lifecycle management: creating FI from complete YAML, updating status, enabling/disabling, troubleshooting build output, and managing the extension's installation plan. Ideal for DevOps engineers responsible for robust CI/CD pipeline management.

This tool generates canonical, submit-ready FrontendIntegration YAML from a simplified, single-menu authoring model. It is ideal for converting preliminary configurations (like those derived from a CRD) into the full, structured YAML required for deploying frontend integrations, ensuring all fields and placements are correctly mapped.