# LittleChest/mcd-withwork-skills > A WorkBuddy Skill built on McDonald's China official MCP: helps pick a meal around your work rhythm, shows real prices, discounts and nutrition, and after ordering generates a non-judgmental care summary. - Magnitude: 3.2 out of 10 — Early signal - Stars: 113 total · +1 star measured 2026-10-26, 00:12–02:17 UTC, ≈ 24 by evening - Star trust: star growth looks organic - Category: AI agents · Language: HTML · License: AGPL-3.0 · Created: 2026-10-24 · Last push: 2026-10-24 - GitHub: https://github.com/LittleChest/mcd-withwork-skills · Page: https://gitnova.dev/en/r/LittleChest/mcd-withwork-skills ## Useful for - Find nearby McDonald's stores and check the menu with nutrition info. - Calculate the final price with available coupons and promos without placing an order. - Build a local HTML care summary of completed orders grouped by meal time. ## Why it’s here - Star-counter measurements on 2026-10-26 (UTC), 00:12–02:17: 112 → 113 stars (+1). This is the change over that interval. - Estimated end-of-day forecast: about +24 stars, using observed gains and the previous day. - The repository is 2 days old and already has 113 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 0 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 46 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 1 ## Stars per day, last 3 days (oldest → newest, today is partial) 2026-10-24 … 2026-10-26: 86, 27, 1 ## Similar by description 1. **tian1326/mcd-coupon-assistant** — 3.0 · Early signal · AI agents · Python · +0 stars measured 2026-10-26, 00:12–02:18 UTC, ≈ 18 by evening A WorkBuddy Skill built on the official McDonald's China MCP service: it finds nearby stores and available coupons, then calculates the real price of an order with coupons to suggest the cheapest option. It does not place orders or claim… Full card: https://gitnova.dev/en/r/tian1326/mcd-coupon-assistant.md 2. **gundamli/McShake** — 3.8 · Early signal · Apps · JavaScript · +1 star measured 2026-10-26, 00:12–02:16 UTC, ≈ 50 by evening McShake is a web app and CLI tool that uses the official McDonald's China MCP to turn meal selection into a slot machine, showing nutrition facts and calculating real prices with discounts and 1+1 combos. Full card: https://gitnova.dev/en/r/gundamli/McShake.md 3. **wahaha-potato/mcd-coupon-xray** — 3.6 · Early signal · AI agents · Python · +3 stars measured 2026-10-26, 00:12–02:17 UTC, ≈ 26 by evening A Skill for the McDonald's MCP that checks which coupons in your wallet a specific store actually accepts and computes the discounted price. It answers which store to visit, which coupon to use, and how much you save. Full card: https://gitnova.dev/en/r/wahaha-potato/mcd-coupon-xray.md 4. **xanthichi/mcd-meal-mate** — 4.0 · Early signal · AI agents · TypeScript · +4 stars measured 2026-10-26, 00:12–02:16 UTC, ≈ 46 by evening A McDonald's meal-planning Skill: given city, budget, calorie cap and protein goal, it picks three combos from the live menu via MCP, with prices, nutrition and coupons. Full card: https://gitnova.dev/en/r/xanthichi/mcd-meal-mate.md 5. **Sam-Hui-dot/mcd-budget-meal** — 2.4 · Peaking · AI agents · HTML · +5 stars measured 2026-10-26, 00:15–02:19 UTC, ≈ 117 by evening · unusual star pattern (heuristic) A Skill for AI clients that uses the official McDonald's China MCP to pick meals within a set budget: it checks the chosen store's menu and coupons, prices up to three candidates, and shows the remaining budget. Aimed at single-person… Full card: https://gitnova.dev/en/r/Sam-Hui-dot/mcd-budget-meal.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-26 02:26 UTC, updated every 30 minutes.