AI SummaryCopilot instructions for a Moleculer TypeScript microservices project that establishes backlog management conventions and task definition standards. Developers working with Moleculer-based microservices benefit from consistent task structuring and decision tracking.
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I want to add the "moleculer-typescript-template — Copilot Instructions" prompt rules to my project. Repository: https://github.com/jellydn/moleculer-typescript-template Please read the repo to find the rules/prompt file, then: 1. Download it to the correct location (.cursorrules, .windsurfrules, .github/prompts/, or project root — based on the file type) 2. If there's an existing rules file, merge the new rules in rather than overwriting 3. Confirm what was added
Description
This is a Moleculer-based microservices project
Additional task requirements
• Tasks must be atomic and testable. If a task is too large, break it down into smaller subtasks. Each task should represent a single unit of work that can be completed in a single PR. • Never reference tasks that are to be done in the future or that are not yet created. You can only reference previous tasks (id < current task id). • When creating multiple tasks, ensure they are independent and they do not depend on future tasks. Example of wrong tasks splitting: task 1: "Add API endpoint for user data", task 2: "Define the user model and DB schema". Example of correct tasks splitting: task 1: "Add system for handling API requests", task 2: "Add user model and DB schema", task 3: "Add API endpoint for user data".
1. Source of Truth
• Tasks live under backlog/tasks/ (drafts under backlog/drafts/). • Every implementation decision starts with reading the corresponding Markdown task file. • Project documentation is in backlog/docs/. • Project decisions are in backlog/decisions/.
**Title**
Use a clear brief title that summarizes the task.
**Description**: (The **"why"**)
Provide a concise summary of the task purpose and its goal. Do not add implementation details here. It should explain the purpose and context of the task. Code snippets should be avoided.
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Works With
Any AI assistant that accepts custom rules or system prompts