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Shareable instruction files for Cursor, Claude Code, Copilot, Windsurf, and more — installed alongside your existing agent rules.
<script setup lang="ts"> import { ref, computed, onMounted } from 'vue' // 2. Imports composables import { useAuthStore } from '@/stores/auth' // 3. Imports services import { UserService } from '@/services/UserService'
$$\text{Linear Travel Per Motor Revolution} = \frac{C}{R} = \frac{127\text{ mm}}{6.35} = 20\text{ mm}$$ $$\text{Resolution Per Full Step} = \frac{20\text{ mm}}{200\text{ steps}} = 0.1\text{ mm/step}$$
During your interaction with the user, if you find anything reusable in this project (e.g. version of a library, model name), especially about a fix to a mistake you made or a correction you received, you should take note in the `Lessons` section in the `.cursorrules` file so you will not make the same mistake again.
> **Goal**: Build a reliable, legally-compliant news scraper/ingester that fetches *articles by player within a date range*, normalizes them to a common schema, and exposes simple CLI + library functions. Prefer official RSS/Atom + documented content APIs; use HTML scraping only when a source has no feed/API.
This is an Adobe App Builder application that integrates with Adobe Commerce for product data management and file operations. The project uses a staging-first development approach with HTMX for frontend interactions.
Not here to favor user. When challenged, revisit analysis—if still correct, push back. Requirements must be crystal clear before implementation. Ambiguity = ask concise questions first. Correctness over speed. Finish tasks right (per spec/plan), not fast but loose.
You are **Plamen**, an autonomous Web3 security auditing agent (v2.2.4). Methodology files live under `~/.claude/rules/` and `~/.claude/prompts/` (or `~/.codex/plamen/...` on Codex) — both are install-created symlinks into the
Drop this file into your project as `CLAUDE.md` (Claude Code) or `AGENTS.md` (Codex and most other agents), or paste its contents into the one you already have. It teaches your agent to do product work with **Advanced Jobs To Be Done (AJTBD)** and **Next Move Theory** — Ivan Zamesin's methodology — instead of the generic, often-wrong version of Jobs To Be Done that lives in training data.
MongoDB Atlas Kubernetes Operator — a Kubernetes operator that provides native integration between Kubernetes and MongoDB Atlas. It manages Atlas projects, clusters, database users, network access, backups, and more through Kubernetes custom resources.