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Mecddi Query

Community
QSong-github
mecddi-query

Query the MecDDI mechanism-based drug-drug interaction database. Use whenever the user asks about drug-drug interactions, DDI mechanisms (PK/PD), enzyme or transporter-mediated interactions, or wants to look up interacting drug pairs by drug name or MecDDI drug ID. Trigger on keywords like DDI, drug interaction, MecDDI, mechanism-based interaction, pharmacokinetic interaction, pharmacodynamic interaction, or any query involving two drugs that may interact.

Overview

PublisherQSong-github
RepositoryDrugClaw
Skill namemecddi-query
Stars
118
Forks
3
Bundled files
4
Links
Skill sourceRepositoryHomepage
  • 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.

  • 4 bundled files

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

  • Open source

    Published by QSong-github on GitHub. Read the source before you install it.

Installation

Install the Mecddi Query 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/QSong-github/DrugClaw/tree/main/skills/ddi/mecddi
  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/QSong-github/DrugClaw.git /tmp/DrugClaw
mkdir -p .claude/skills
cp -r /tmp/DrugClaw/skills/ddi/mecddi .claude/skills/mecddi-query
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mecddi Query 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 Mecddi Query 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 Mecddi Query 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.

MecDDI Query Skill

Search MecDDI drug-drug interaction records by drug name or drug ID. Auto-detects input type:

Input PatternDetected AsMatch Logic
D0123MecDDI Drug IDexact on A_Drug_ID / B_Drug_ID
anything elsefree textsubstring on A_Drug_Name / B_Drug_Name

Mechanism Categories (7 files)

CategoryType
Affected Gastrointestinal AbsorptionPK
Affected Cellular TransportPK
Affected Organization DistributionPK
Affected Intra/Extra-Hepatic MetabolismPK
Affected Excretion PathwaysPK
Pharmacodynamic Additive EffectsPD
Pharmacodynamic Antagonistic EffectsPD

API

FunctionInputReturns
load_mecddi(data_dir)directory pathlist[dict] (all records)
search(records, entity)single entity stringlist[dict]
search_batch(records, entities)list of stringsdict[str, list[dict]]
summarize(hits, entity)hits + labelcompact text for LLM
to_json(hits)list[dict]JSON string

Data

  • Source: 7 TSV files downloaded from https://mecddi.idrblab.net/download
  • Path: DATA_DIR variable in 19_MecDDI.py (default: resources_metadata/ddi/MecDDI)
  • Columns: A_Drug_ID, A_Drug_Name, B_Drug_ID, B_Drug_Name, Mechanism_Category

Usage

See if __name__ == "__main__" block in 19_MecDDI.py for runnable examples covering:

  1. Single drug name → search(data, "Atropine")
  2. Single drug ID → search(data, "D0123")
  3. Batch query → search_batch(data, ["Meclizine", "Isocarboxazid", "D0853"])
  4. JSON output → to_json(hits)
  5. LLM-friendly summary → summarize(hits, entity)

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 Mecddi Query AI skill do?

Query the MecDDI mechanism-based drug-drug interaction database. Use whenever the user asks about drug-drug interactions, DDI mechanisms (PK/PD), enzyme or transporter-mediated interactions, or wants to look up interacting drug pairs by drug name or MecDDI drug ID. Trigger on keywords like DDI, drug interaction, MecDDI, mechanism-based interaction, pharmacokinetic interaction, pharmacodynamic interaction, or any query involving two drugs that may interact.

Why use Mecddi Query on TypingMind?

Because you install it once and use it with any model. Mecddi Query 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 Mecddi Query in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/QSong-github/DrugClaw/tree/main/skills/ddi/mecddi. 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 Mecddi Query?

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 Mecddi Query?

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

Is the Mecddi Query AI skill free?

It is published on GitHub by QSong-github. 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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