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gabrielmoreira (@gabrielmoreira) published this skill. Their other Agent Skills are listed on their SkillMD profile.

27_ATC_DDD by gabrielmoreira — Agent Skill

Name: 27_ATC_DDD
Rating: 4.2 (5 reviews)
Author: gabrielmoreira

27_ATC_DDD

Query the WHO ATC/DDD Classification System. Use whenever the user asks about ATC codes, drug classification hierarchy, Defined Daily Doses (DDD), or wants to look up drugs by ATC class or find the ATC code for a drug name.

gabrielmoreira Updated Sep 9, 2026 17 repo stars

File contents

ATC/DDD Query Skill

Look up ATC classification and DDD data for drugs. Auto-detects entity type:

Input Pattern	Detected As	Query Path
`N02BA` `A10BA02` `C09XX01`	ATC code	local DDD lookup + RxNav member drugs
`aspirin` `metformin`	drug name	RxNav ATC classification + local DDD match

ATC code regex: ^[A-Z]\d{2}([A-Z]{1,2}\d{0,2})?$

API

Function	Input	Returns
`load_local(path)`	Excel path	`list[dict]` — cached ATC/DDD records
`search(entity)`	single string	`dict` with `entity`, `entity_type`, `local_hits`, `api_hits`
`search_batch(entities)`	list of strings	`dict[str, dict]` — keyed by entity
`summarize(result)`	search result dict	compact LLM-readable text
`to_json(result)`	search result dict	JSON string

All functions accept use_api=True|False to toggle RxNav queries (default: on).

Usage

See if __name__ == "__main__" block in 27_ATC_DDD.py for runnable examples:

from importlib import import_module
atc = import_module("27_ATC_DDD")

# Drug name → ATC classes
r = atc.search("aspirin")
print(atc.summarize(r))

# ATC code → member drugs + DDD
r = atc.search("N02BA")
print(atc.summarize(r))

# Batch
results = atc.search_batch(["metformin", "A10BA02", "C09XX01"])

# JSON for pipeline
print(atc.to_json(atc.search("sparsentan")))

Data

Local file: ATC_DDD_new and alterations 2026_final.xlsx
Columns: atc_code, atc_level_name, new_ddd, unit, adm_route, note
Path: DATA_DIR / XLSX_PATH in 27_ATC_DDD.py
Remote API: RxNav RxClass (rxnav.nlm.nih.gov/REST/rxclass/)
Citation: WHOCC — WHO Collaborating Centre for Drug Statistics Methodology, ATC/DDD Index 2026. https://atcddd.fhi.no/atc_ddd_index/

---name: 27-atc-ddddescription: Query the WHO ATC/DDD Classification System. Use whenever the user asks about ATC codes, drug classification hierarchy, Defined Daily Doses (DDD), or wants to look up drugs by ATC class or find the ATC code for a drug name.--- # ATC/DDD Query Skill Look up ATC classification and DDD data for drugs. Auto-detects entity type: | Input Pattern | Detected As | Query Path | |---|---|---| | `N02BA` `A10BA02` `C09XX01` | ATC code | local DDD lookup + RxNav member drugs | | `aspirin` `metformin` | drug name | RxNav ATC classification + local DDD match | ATC code regex: `^[A-Z]\d{2}([A-Z]{1,2}\d{0,2})?$` ## API | Function | Input | Returns | |---|---|---| | `load_local(path)` | Excel path | `list[dict]` — cached ATC/DDD records | | `search(entity)` | single string | `dict` with `entity`, `entity_type`, `local_hits`, `api_hits` | | `search_batch(entities)` | list of strings | `dict[str, dict]` — keyed by entity | | `summarize(result)` | search result dict | compact LLM-readable text | | `to_json(result)` | search result dict | JSON string | All functions accept `use_api=True|False` to toggle RxNav queries (default: on). ## Usage See `if __name__ == "__main__"` block in `27_ATC_DDD.py` for runnable examples: ```python from importlib import import_module atc = import_module("27_ATC_DDD") # Drug name → ATC classes r = atc.search("aspirin") print(atc.summarize(r)) # ATC code → member drugs + DDD r = atc.search("N02BA") print(atc.summarize(r)) # Batch results = atc.search_batch(["metformin", "A10BA02", "C09XX01"]) # JSON for pipeline print(atc.to_json(atc.search("sparsentan"))) ``` ## Data - **Local file**: `ATC_DDD_new and alterations 2026_final.xlsx` - **Columns**: `atc_code`, `atc_level_name`, `new_ddd`, `unit`, `adm_route`, `note` - **Path**: `DATA_DIR` / `XLSX_PATH` in `27_ATC_DDD.py` - **Remote API**: RxNav RxClass (`rxnav.nlm.nih.gov/REST/rxclass/`) - **Citation**: WHOCC — WHO Collaborating Centre for Drug Statistics Methodology, ATC/DDD Index 2026. https://atcddd.fhi.no/atc_ddd_index/

Frequently asked questions