Skill UI

Guides teams in building effective custom prompts for Cursor AI, covering context-task structure, constraints, templates, and iteration practices to maintain reusable, high-quality responses across projects.

Defines MCP server tooling with file search, query execution, resource endpoints, prompt templates, and transport configurations alongside a client setup example for streamlined project automation.

Guides setting up production-ready Mistral AI integrations with layered layout, a singleton client, Zod-based config, custom errors, caching-aware service layer, health endpoints, and prompt templates.

Manage Cascade-specific custom prompt libraries with reusable templates, variable setups, and sharing workflows to streamline code generation, review, documentation, and debugging tasks across teams.

Provides a conversational workflow to update or install SpecKit templates from GitHub while preserving customizations, with approval prompts, conflict handling, backups, and optional versioning/rollback flags.

Provides architecture design support including ADR templates, system design checklists, scalability assessment prompts, architecture patterns, and API guidance so engineers can document decisions and ensure reliability during technical design phases.

Spawn N parallel subagents in isolated git worktrees to tackle the same session task concurrently, using optional templates with dispatch prompts for optimizer, refactorer, test-writer, or bug-fixer strategies.

This advanced prompt simulates a Senior Project Manager and DevOps specialist. It takes comprehensive feature artifacts (PRD, technical breakdowns, testing plans) and generates a structured, automated GitHub project plan. It enforces Agile best practices (Epic > Feature > Story > Enabler > Task) and includes templates for issue creation, dependency management, risk assessment, and Definition of Done, ensuring robust project tracking within GitHub.

This utility automates the creation of a complete, production-ready Model Context Protocol (MCP) server project using Java. It generates full source code templates, including configuration, tool handling, resource definitions, and prompt logic. The generator provides robust setup for both Maven and Gradle, ensuring the resulting backend service is structured, scalable, and ready for deployment with support for reactive streams and optional Spring Boot integration.

Design, analyze, and refine Azure infrastructure through natural language prompts, generate interactive architecture diagrams locally with bundled scripts, and produce deployable Bicep templates to automate infrastructure-as-code workflows.