Skill UI

An expert playbook for identifying and simulating dependency confusion attacks in software supply chains. It comprehensively covers how internal package names can be squatted on public registries, leading to malicious code execution via package manager lifecycle hooks (e.g., npm, pip, Maven). Use this guide for authorized red-team exercises and deep vulnerability assessment of build processes.

This extension provides comprehensive distributed tracing capabilities for the KubeSphere Observability Platform, adhering to the OpenTelemetry standard. It guides users through the entire lifecycle, including component installation (Generator, Collector, Agent), configuration, and querying complex tracing data, spans, and service graphs. It is essential for monitoring microservices and understanding complex system interactions.

A comprehensive toolkit for managing the entire lifecycle of feature flags, treating them as a controlled process rather than simple if-statements. This system provides scripts to scan for technical flag debt, plan progressive rollouts (e.g., ring, linear), and audit for crucial kill-switches. Ideal for release engineering, ensuring features are properly launched, tested, and safely retired.

Expert skill for building Model Context Protocol (MCP) servers and tools from scratch. Covers the full development lifecycle—from defining tool schemas and resources to implementation, testing, and publishing to registries. Supports robust patterns using TypeScript and Python for integrating custom capabilities into AI agents.

A comprehensive tool for the full lifecycle management of applications within the Lark ecosystem (Feishu/Miaoda). It supports three development paths: local full-stack development, HTML static hosting, and cloud-based AI session generation. Use this when creating, updating, deploying, or publishing any complex system, tool, or platform application.

This orchestrator acts as a central hub for Go development, managing the complexity of modern software projects. Instead of using single skills, it reads the task context (e.g., building gRPC, debugging a panic) and automatically loads the most relevant combination of specialized skills (like testing, error handling, safety, or security) simultaneously. It ensures comprehensive coverage throughout the entire Go development lifecycle, making it ideal for advanced AI coding agents.

Nextflow is a powerful workflow language and runtime for building reproducible, portable, and scalable data pipelines, especially dominant in bioinformatics. This skill covers the entire workflow lifecycle: from authoring complex pipelines using the modern DSL2 syntax, to configuring containerized execution (Docker, Singularity), scaling to High-Performance Computing (HPC) or cloud environments, and running/debugging existing nf-core workflows.

A comprehensive REST API for sending and receiving multi-channel messages, including iMessage (blue bubbles), SMS, and RCS. This skill allows developers to integrate messaging capabilities into server-side applications, supporting advanced features such as group messaging, reactions, typing indicators, and status callbacks. It also handles inbound messages via webhooks, making it ideal for building robust, real-time communication services that require programmatic control over messaging lifecycles.

Provides a comprehensive, step-by-step workflow for developers to integrate new Azure Backup commands into the Azure Backup MCP toolset. It covers the entire development lifecycle, including option definition, service implementation, command logic, command registration, input validation, writing unit tests, and executing live/recorded tests, ensuring high quality and adherence to best practices before PR submission.

This skill provides comprehensive operational capabilities for managing FrontendExtension resources in a Kubernetes cluster. It covers the entire lifecycle, including resource creation, package generation, artifact inspection, publishing, unpublishing, deletion, and deep debugging of package and publish controller behaviors. Use it for troubleshooting FE status, managing deployment pipelines, or interacting with the FE API.

This CLI tool automates the entire issue triage lifecycle for Linear and Jira. Users can pull backlogs, cluster duplicates, apply labels, reassign owners, and post detailed summaries—all directly from the shell. It is ideal for weekly backlog cleanup, post-release bug sweeps, and synchronizing data between multiple tools (e.g., Sentry to Linear).

An internal utility designed to manage the entire lifecycle of meta-skill proposals within the opensquilla ecosystem. It allows developers to atomically write new skill proposals, list existing candidates, and formally accept them after passing rigorous gate checks (linting, smoke testing, E2E). This tool ensures structured and controlled deployment of new skills.