Skill UI

This skill provides a comprehensive command-line interface (CLI) for managing the entire lifecycle of projects, issues, and teams within the Linear product management platform. Users can create, update, list, and change the status of issues and entire projects, ensuring proper traceability and organized development cycles. It supports direct integration using Linear CLI commands for robust workflow automation.

This skill integrates Continuous Integration/Continuous Deployment (CI/CD) pipelines with Linear issue tracking. It automatically detects deployment URLs (e.g., Vercel, Railway), adds detailed deployment comments to relevant Linear issues, and manages state transitions (e.g., moving an issue to 'Review' or 'Done') based on the deployment environment (staging or production). It ensures a seamless link between code commits, deployment status, and project management tickets.

This guide details how to use the official @linear/sdk to interact with the Linear project management API. It covers performing core CRUD operations, such as creating new issues, listing teams, querying issue states, and performing raw GraphQL requests. Ideal for developers needing to integrate Linear into a custom workflow, test API connectivity, or learn foundational automation patterns.

A comprehensive guide for configuring localization services (Lokalise) across multiple deployment environments (development, staging, production). It details two strategies: dedicated projects or single-project branching. Focuses heavily on secure secret management using tools like AWS Secrets Manager, GCP Secret Manager, and HashiCorp Vault, ensuring that environment-specific configurations and translations remain isolated throughout the CI/CD pipeline.

Provides a comprehensive, production-ready reference architecture for integrating Lokalise Translation Management System (TMS) into web applications. This guide covers the entire end-to-end translation lifecycle, including best-practice project layouts, file organization for i18n, CI/CD workflows (build-time vs. OTA paths), and necessary API client implementations. Use this when establishing new multi-language support or standardizing localization practices across a team.

Enables Claude to orchestrate isolated test environments using Docker Compose, Testcontainers, and environment variables, ensuring consistent setups for database, cache, and message-queue based testing across software projects.

Memory provides persistent context across multiple coding sessions. It stores crucial project decisions, user preferences (like preferred package managers or specific libraries), and architectural conventions in a local memory file. This ensures that the AI maintains consistency, recalls past choices automatically, and applies project-specific rules without needing constant reminders, significantly improving workflow continuity and reliability.

This guide provides a production-ready, layered architecture pattern for integrating Mistral AI into TypeScript/Node.js projects. It implements best practices including singleton client management, Zod-validated configuration, custom error handling, caching mechanisms, and robust service layer design (e.g., RAG pipelines). Use this when setting up new Mistral AI applications or needing standardized, reliable project structure.

Guides setting up modern Python projects with uv, ruff, ty, pytest, prek, and security checks, covering initialization, pyproject configuration, dependency and tool management, quick-start scripts, full project layout, and migrations from legacy tooling.

Guides configuring, exploring, and optimizing Nx monorepos: list and inspect projects, fetch full project configs, run affected analyses, and tune caching or CI/CD workflows without executing tasks or generators.

A comprehensive guide to designing, configuring, and optimizing Nx monorepo workspaces. This skill covers best practices for project structure (apps, libs), dependency management, optimizing build caching, enforcing module boundaries, and setting up complex build pipelines for large-scale JavaScript/TypeScript applications.

This guide outlines best practices for securing PostHog API keys. It differentiates between low-risk Project keys and high-privilege Personal keys, detailing methods for implementing least-privilege access, scoped key creation, secure rotation procedures, and leak prevention using environment variables, pre-commit hooks, and server-side isolation.