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.
npx skills add BioTender-max/awesome-bio-agent-skills --skill mecddi --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# MecDDI Query Skill Search MecDDI drug-drug interaction records by drug name or drug ID. Auto-detects input type: | Input Pattern | Detected As | Match Logic | |---|---|---| | `D0123` | MecDDI Drug ID | exact on `A_Drug_ID` / `B_Drug_ID` | | anything else | free text | substring on `A_Drug_Name` / `B_Drug_Name` | ## Mechanism Categories (7 files) | Category | Type | |---|---| | Affected Gastrointestinal Absorption | PK | | Affected Cellular Transport | PK | | Affected Organization Distribution | PK | | Affected Intra/Extra-Hepatic Metabolism | PK | | Affected Excretion Pathways | PK | | Pharmacodynamic Additive Effects | PD | | Pharmacodynamic Antagonistic Effects | PD | ## API | Function | Input | Returns | |---|---|---| | `load_mecddi(data_dir)` | directory path | list[dict] (all records) | | `search(records, entity)` | single entity string | list[dict] | | `search_batch(records, entities)` | list of strings | dict[str, list[dict]] | | `summarize(hits, entity)` | hits + label | compact 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.
- Mechanism Categories (7 files)
- API
- Data
- Usage
What does the mecddi-query 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.
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill mecddi --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.