Agent skill · Databases

DrugComb

Query the DrugComb drug combination database for cancer cell-line synergy and sensitivity data. Use whenever the user asks about drug combinations, synergy scores (ZIP/Bliss/Loewe/HSA), combination sensitivity (CSS), or wants to look up how two drugs interact in a specific cancer cell line.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill drugcomb --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 2 KB
Bundled scripts: yes
Path: skills/drugclaw/drugcomb/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# DrugComb Query Skill Search DrugComb summary records by any entity. Auto-detects type by pattern: | Input Pattern | Detected As | Match Logic | |---|---|---| | `5-FU` / `imatinib` | drug name | case-insensitive substring on `drug_row` OR `drug_col` | | `A549` / `MCF-7` | cell line | case-insensitive substring on `cell_line_name` | | `12345` (pure digits) | block_id | exact on `block_id` | | `CID:2244` | PubChem CID | exact on `drug_row_cid` OR `drug_col_cid` | ## API | Function | Input | Returns | |---|---|---| | `load_drugcomb(path)` | CSV path | `list[dict]` | | `columns(data)` | loaded data | column name list | | `search(data, entity)` | single entity string | `list[dict]` | | `search_batch(data, entities)` | list of entity strings | `dict[str, list[dict]]` | | `summarize(hits, entity)` | hit list + label | compact LLM-readable text | | `to_json(hits)` | hit list | `list[dict]` | ## Usage See `if __name__ == "__main__"` block in `example.py` for runnable examples covering: drug name search, cell-line search, batch search, and JSON output. ## Data - **Source**: DrugComb normalized full-package output - **Key columns**: `drug_row`, `drug_col`, `cell_line_name`, `synergy_zip`, `s

What's inside
Steps it walks through
  1. API
  2. Usage
  3. Data
  4. Citation
Ships with 5 files
  • README.md
  • __init__.py
  • drugcomb_skill.py
  • example.py
  • retrieve.py
More from awesome-bio-agent-skills
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About this skill
What does the DrugComb skill do?

Query the DrugComb drug combination database for cancer cell-line synergy and sensitivity data. Use whenever the user asks about drug combinations, synergy scores (ZIP/Bliss/Loewe/HSA), combination sensitivity (CSS), or wants to look up how two drugs interact in a specific cancer cell line.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill drugcomb --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.

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