GDKD Query Skill

SkillDatabases & data

Query the Gene-Drug Knowledge Database (GDKD) for variant-specific gene, drug associations in oncology. Use when the user asks about cancer genomic biomarkers, drug sensitivity/resistance by gene or variant, targetable mutations, or clinical evidence for cancer therapeutics.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the GDKD Query Skill skill

What this skill tells your AI

The instructions your AI receives, as published by qsong-github/drugclaw in skills/dti/gdkd/SKILL.md and read by ahel’s review.

Search canonical GDKD rows by drug or gene entity. Auto-detects input type by pattern:

Input Pattern	Detected As	Match Logic
`ABL1`, `EGFR`	Gene symbol	substring on `gene`
`imatinib`, `erlotinib`	Drug name	substring on `drug`
anything else	Free text	substring on `drug` OR `gene`

API

Function	Input	Returns
`load_gdkd(path)`	CSV path	`list[dict]`
`search(rows, entity)`	single entity string	`list[dict]`
`search_batch(rows, entities)`	list of entity strings	`dict[str, list[dict]]`
`summarize(hits, entity)`	rows + label	compact text
`to_json(hits)`	rows	`list[dict]`

Usage

See if __name__ == "__main__" block in example.py for runnable examples.

Data

Source: GDKD normalized full-package output
Paper: Dienstmann et al., Cancer Discovery 2015;5(2):118-123
Format: CSV
Columns: drug, gene, score, source
Path: resources_metadata/dti/GDKD/gdkd.csv (default DATA_PATH in example.py)

Signals

GitHub stars: 116
Forks: 3
Last commit: Aug 2026

Advanced

Item type: skill
Key: gdkd-query
Source: github.com/qsong-github/drugclaw

github.com/qsong-github/drugclaw

GDKD Query Skill

What this skill tells your AI

API

Usage

Data

Signals

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