FP

    Foodcalorie Pro Data

    1

    Nothing is estimated, interpolated or filled in to make the table look complete.

    $6.99

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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    About this skill

    Calorie data for 14 Chinese chain restaurants, in a file your agent can read

    Most nutrition APIs cover Western fast food and skip the brands people in China actually eat at. This pack is 116 menu items from KFC China, McDonald's China, Starbucks China, Luckin, Mixue, Heytea, Naixue, Guming, Chagee, Sexy Tea, Auntea Jenny, ChaBaiDao, 1点点 and Haidilao.

    Calories are present on every one of the 116 rows. Macros are present wherever the brand publishes them. Nothing is estimated, interpolated or filled in to make the table look complete.

    What you get

    • data/pro_foods.json — 116 items, stable ids, per-serving values
    • data/coverage.md — exact field counts per brand, read this before promising a field
    • references/field-guide.md — units and meaning of every field
    • references/query-recipes.md — query patterns and answer formats

    Why a local dataset instead of an API

    No key, no rate limit, no network call, no per-lookup cost. The agent reads a JSON file that is already on disk, so lookups are instant and work offline.

    Honest coverage

    Calories 116/116 · protein 59 · fat 61 · carbs 54 · sugar 15 · sodium 4 · caffeine 21. No allergen data — the pack tells your agent to say so rather than guess. That instruction is worth more than a fabricated allergen column.

    Licence

    Single-user licence. Use it in your own agent, do not redistribute the dataset.

    Calories on all 116 items; protein 59, fat 61, carbs 54, sugar 15, sodium 4, caffeine 21. No allergen data — the pack instructs the agent to say so rather than guess. Values come from brand nutrition pages or public roundups, not lab measurements; menus and recipes change.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Requires

    Foodcalorie MCP

    Permissions

    No special permissions declared or detected

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    What's inside

    Frequently Asked Questions

    116 menu items from 14 Chinese chain restaurants (KFC China, Luckin, Mixue, Heytea, Chagee, Haidilao and more) as a local JSON dataset your agent can query. Calories on every row, macros where the brand publishes them. No API key, no rate limit.

    This skill uses the open SKILL.md standard. Use it through an MCP-compatible agent connected to Agensi, and check the compatibility information on this page for confirmed agents and required capabilities.

    Connect your AI agent to Agensi through MCP, then ask it to use foodcalorie-pro-data on your task. Your agent loads the latest approved version each time. Paid skills require a purchase or active subscription. Skill files are not available for download; your licence does not allow you to save, copy or export any part of a skill.