Fdcnal Usda Fooddata Central Agent logo

Fdcnal Usda Fooddata Central Agent

Organization
aiagenta2z
fdcnal-usda-fooddata-central-agent

The FoodData Central API provides REST access to FoodData Central (FDC), assisting developers in incorporating nutrient data into their applications. It provides access to Standard Reference (SR) Legacy data, USDA Global Branded Foods Database, Foundation Foods, and FNDDS.

Overview

Publisheraiagenta2z
Repositoryonekey-gateway
Skill namefdcnal-usda-fooddata-central-agent
Stars
52
Forks
11
Bundled files
18
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 18 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by aiagenta2z on GitHub. Read the source before you install it.

Installation

Install the Fdcnal Usda Fooddata Central Agent AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/aiagenta2z/onekey-gateway/tree/main/skills/fdcnal-usda-fooddata-central-agent
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aiagenta2z/onekey-gateway.git /tmp/onekey-gateway
mkdir -p .claude/skills
cp -r /tmp/onekey-gateway/skills/fdcnal-usda-fooddata-central-agent .claude/skills/fdcnal-usda-fooddata-central-agent
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Fdcnal Usda Fooddata Central Agent in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Fdcnal Usda Fooddata Central Agent on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Fdcnal Usda Fooddata Central Agent is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

fdcnal-usda-fooddata-central-agent

Auto-generated skill for OneKey Agent Gateway registered agent fdcnal/usda-fooddata-central-agent based on its api_list from registered API metas. Available to use in CLIs, Skills, Rest APIs, and more agent preferred formats.

Quick Start

Set the API providers access key `` or the registered OneKey Gateway access key DEEPNLP_ONEKEY_ROUTER_ACCESS from AI Agent Marketplace.

bash
export DEEPNLP_ONEKEY_ROUTER_ACCESS=YOUR_REGISTRY_KEY

Run an API via scripts:

  • Node (JS): node scripts/<api_name>.js --data '{"key":"value"}'
  • Python: python3 scripts/<api_name>.py --data '{"key":"value"}'

APIs

get_foods_multiple

Fetches details for multiple food items using input FDC IDs

  • Method: GET,POST
  • Endpoint: https://api.nal.usda.gov/fdc/v1/foods

Parameters:

  • fdcIds: array[string]
  • format: string=full
  • nutrients: array[integer]
Curl
bash
curl -X GET,POST "https://api.nal.usda.gov/fdc/v1/foods" \
  -H "Content-Type: application/json" \
  -d '{}'
Scripts
bash
node scripts/get_foods_multiple.js --data '{}'
python3 scripts/get_foods_multiple.py --data '{}'

get_food_by_id

Fetches details for one food item by FDC ID

  • Method: GET
  • Endpoint: https://api.nal.usda.gov/fdc/v1/food/{fdcId}

Parameters:

  • fdcId: string
  • format: string=full
  • nutrients: array[integer]
Curl
bash
curl -X GET "https://api.nal.usda.gov/fdc/v1/food/{fdcId}"
Scripts
bash
node scripts/get_food_by_id.js --data '{}'
python3 scripts/get_food_by_id.py --data '{}'

list_foods

Returns a paged list of foods, in the 'abridged' format

  • Method: GET,POST
  • Endpoint: https://api.nal.usda.gov/fdc/v1/foods/list

Parameters:

  • dataType: array[string]
  • pageSize: integer=50
  • pageNumber: integer=1
  • sortBy: string
  • sortOrder: string
Curl
bash
curl -X GET,POST "https://api.nal.usda.gov/fdc/v1/foods/list" \
  -H "Content-Type: application/json" \
  -d '{}'
Scripts
bash
node scripts/list_foods.js --data '{}'
python3 scripts/list_foods.py --data '{}'

search_foods

Returns a list of foods that matched search (query) keywords

  • Method: GET,POST
  • Endpoint: https://api.nal.usda.gov/fdc/v1/foods/search

Parameters:

  • query: string
  • dataType: array[string]
  • pageSize: integer=50
  • pageNumber: integer=1
  • sortBy: string
  • sortOrder: string
  • brandOwner: string
Curl
bash
curl -X GET,POST "https://api.nal.usda.gov/fdc/v1/foods/search" \
  -H "Content-Type: application/json" \
  -d '{}'
Scripts
bash
node scripts/search_foods.js --data '{}'
python3 scripts/search_foods.py --data '{}'

Scripts

Each API has a dedicated script in scripts/:

bash
node scripts/<api_name>.js --data '{"key":"value"}'
python3 scripts/<api_name>.py --data '{"key":"value"}'

CLIs

shell
npx onekey agent fdcnal/usda-fooddata-central-agent get_foods_multiple '{"fdcIds":[],"format":"value","nutrients":0}'
npx onekey agent fdcnal/usda-fooddata-central-agent get_food_by_id '{"fdcId":"value","format":"value","nutrients":0}'
npx onekey agent fdcnal/usda-fooddata-central-agent list_foods '{"dataType":[],"pageNumber":0,"pageSize":0,"sortBy":"value","sortOrder":"value"}'
npx onekey agent fdcnal/usda-fooddata-central-agent search_foods '{"brandOwner":"value","dataType":[],"pageNumber":0,"pageSize":0,"query":"value","sortBy":"value"}'

References

  • reference/api_list.json: original api_list payload
  • reference/api_meta.json: normalized API metadata used by scripts

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Fdcnal Usda Fooddata Central Agent AI skill do?

The FoodData Central API provides REST access to FoodData Central (FDC), assisting developers in incorporating nutrient data into their applications. It provides access to Standard Reference (SR) Legacy data, USDA Global Branded Foods Database, Foundation Foods, and FNDDS.

Why use Fdcnal Usda Fooddata Central Agent on TypingMind?

Because you install it once and use it with any model. Fdcnal Usda Fooddata Central Agent is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Fdcnal Usda Fooddata Central Agent in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aiagenta2z/onekey-gateway/tree/main/skills/fdcnal-usda-fooddata-central-agent. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Fdcnal Usda Fooddata Central Agent?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Fdcnal Usda Fooddata Central Agent?

As many as you like. As long as a model supports skills, you can use Fdcnal Usda Fooddata Central Agent with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Fdcnal Usda Fooddata Central Agent AI skill free?

It is published on GitHub by aiagenta2z. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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