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This guide enforces the 'spec-first' principle in software development, treating the specification as a non-negotiable contract. It outlines a rigorous, multi-stage workflow detailing mandatory sections (Functional/Non-Functional Requirements, Acceptance Criteria, API Contracts, Data Models) and bounded autonomy rules. Users learn how to define the system 'must do' before writing a single line of code, thereby minimizing rework and eliminating scope creep.

A powerful operational companion for database developers. This skill assists with the daily lifecycle of database interactions, including translating natural language requirements into optimized SQL queries, generating database migrations, performing comprehensive schema introspection across multiple dialects (PostgreSQL, MySQL, SQLite, SQL Server), and identifying performance bottlenecks through detailed query optimization and index recommendations. It also supports ORM patterns like Prisma and SQLAlchemy.

This advanced skill transforms validated research concepts and literature into structured, reviewer-ready grant proposals. It supports major international and national funding bodies, including KAKENHI, NSF, ERC, and NSFC. By managing narrative arc, structural requirements, and budget justification, it guides users through the entire funding application pipeline.

This tool transforms natural language requirements into high-quality, structured Mermaid diagrams. It supports over 20 diagram types, including Flowcharts, Sequence Diagrams, Class Diagrams, ER Diagrams, and Gantt Charts. The process includes parsing requirements, generating raw Mermaid code, and verifying syntax using industry-standard tools, ensuring accurate and professional visualizations for technical documentation.

This comprehensive guide details how to properly integrate and configure Firebase within Flutter applications. It covers initial setup using `flutterfire configure`, essential initialization in `main.dart`, handling platform-specific requirements, and advanced techniques for managing multiple app flavors (dev, staging, prod).

A systematic methodology for initiating projects, features, or major changes. It mandates creating a detailed, structured specification (spec) before writing any code, ensuring all assumptions are surfaced and vague requirements are translated into measurable success criteria. This process involves four validated phases: Specify, Plan, Tasks, and Implement, guaranteeing alignment between the human team and the development process.

This tool analyzes specification files to extract all defined requirements and cross-references them with the current codebase implementation status. It systematically checks for unimplemented features, searches existing GitHub issues to prevent duplicates, and automatically generates detailed issues using a standardized feature request template. It is essential for robust product management, ensuring every defined requirement is tracked and scheduled for development.

A comprehensive guide to creating production-grade Product Requirements Documents (PRDs). This skill helps bridge the gap between vague business concepts and concrete technical specifications for modern software systems and AI features. It enforces a structured workflow, ensuring all necessary components—from user stories and success KPIs to technical architecture and risk analysis—are defined.

Generates a structured Epic architecture specification from a Product Requirements Document, guiding senior architects to capture high-level approaches, layered Mermeid diagrams, features, technical enablers, stack choices, and value estimates for TypeScript/Next.js monorepo projects.

Guides an AI pair to document application needs, access patterns, and scaling concerns while producing Azure Cosmos DB NoSQL requirements and data model artifacts using established best practices in a structured workflow.

Generates a concise, AI-optimized specification describing what an existing GitHub Actions workflow does, its triggers, requirements, inputs/outputs, and governance so teams can understand and maintain it without implementation details.

This tool automates the entire workflow of creating a GitHub Pull Request (PR) directly from a structured specification file. It analyzes the template, extracts requirements, checks for existing PRs, creates the draft, updates the body and title with specification details, and finally transitions the PR state to 'Ready for Review'. This significantly streamlines the feature request submission process, ensuring all necessary documentation and metadata are included.