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zigbee2mqtt-windfront
zigbee2mqtt-windfront contains 11 collected skills from Nerivec, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Comprehensive project architecture blueprint generator that analyzes codebases to create detailed architectural documentation. Automatically detects technology stacks and architectural patterns, generates visual diagrams, documents implementation patterns, and provides extensible blueprints for maintaining architectural consistency and guiding new development.
Technology-agnostic blueprint generator for creating comprehensive copilot-instructions.md files that guide GitHub Copilot to produce code consistent with project standards, architecture patterns, and exact technology versions by analyzing existing codebase patterns and avoiding assumptions.
Prompt for generating an AGENTS.md file for a repository
Create a new implementation plan file for new features, refactoring existing code or upgrading packages, design, architecture or infrastructure.
Create an llms.txt file from scratch based on repository structure following the llms.txt specification at https://llmstxt.org/
Create a new specification file for the solution, optimized for Generative AI consumption.
Plan a multi-file refactor with proper sequencing and rollback steps
Surgical code refactoring to improve maintainability without changing behavior. Covers extracting functions, renaming variables, breaking down god functions, improving type safety, eliminating code smells, and applying design patterns. Less drastic than repo-rebuilder; use for gradual improvements.
Update an existing implementation plan file with new or update requirements to provide new features, refactoring existing code or upgrading packages, design, architecture or infrastructure.
Update the llms.txt file in the root folder to reflect changes in documentation or specifications following the llms.txt specification at https://llmstxt.org/
Update an existing specification file for the solution, optimized for Generative AI consumption based on new requirements or updates to any existing code.