Open Targets Platform

Community

QSong-github

open-targets-platform

Query the Open Targets Platform for drug-target-disease associations. Use whenever the user asks about drug targets, gene-disease associations, drug indications, clinical trial phases, or wants to look up any entity (Ensembl gene ID, ChEMBL drug ID, or free-text gene/drug name) in Open Targets. Also trigger when the user mentions Open Targets, ENSG IDs, CHEMBL IDs, or asks about target prioritization for diseases.

Overview

Publisher	QSong-github
Repository	`DrugClaw`
Skill name	`open-targets-platform`
Stars	118
Forks	3
Bundled files	4
Links	Skill source Repository Homepage

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 Open Targets Platform AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/QSong-github/DrugClaw/tree/main/skills/dti/open_targets
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.

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/dti/open_targets .claude/skills/open-targets-platform

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Open Targets Platform 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 Open Targets Platform 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 Open Targets Platform 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.

Open Targets Platform Query Skill

Query the Open Targets GraphQL API for drug, target, and disease association data. No API key required.

Entity Auto-Detection

Input Pattern	Detected As	Example
`ENSG00000...`	Target (Ensembl gene ID)	`ENSG00000146648` (EGFR)
`CHEMBL...`	Drug (ChEMBL ID)	`CHEMBL941` (Imatinib)
anything else	Free-text search	`BRCA1`, `aspirin`

API

Function	Input	Returns
`query(entity)`	single entity string	dict with type, name, associations
`query_batch(entities)`	list of entity strings	list[dict]
`summarize(result)`	query result dict	compact one-line text
`get_target_info(ensembl_id)`	Ensembl ID string	raw GraphQL response
`get_drug_info(chembl_id)`	ChEMBL ID string	raw GraphQL response
`search_entities(term)`	free-text string	raw GraphQL response

Return Format

Target result:

json
{"entity": "ENSG00000146648", "type": "target", "found": true,
 "symbol": "EGFR", "name": "epidermal growth factor receptor",
 "biotype": "protein_coding",
 "top_diseases": [{"disease": "lung carcinoma", "score": 0.78}]}

Drug result:

json
{"entity": "CHEMBL941", "type": "drug", "found": true,
 "name": "IMATINIB", "drug_type": "Small molecule",
 "max_phase": 4,
 "indications": [{"disease": "chronic myeloid leukemia", "phase": 4}]}

Search result:

json
{"entity": "BRCA1", "type": "search", "found": true,
 "hits": [{"id": "ENSG00000012048", "name": "BRCA1", "entity_type": "target"}]}

Usage

See if __name__ == "__main__" block in 12_Open_Targets_Platform.py for runnable examples covering: single target/drug/search query, batch query, and JSON output.

Source

Endpoint: https://api.platform.opentargets.org/api/v4/graphql
Docs: https://platform.opentargets.org/
Paper: https://doi.org/10.1093/nar/gkac1046

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 Open Targets Platform AI skill do?

Why use Open Targets Platform on TypingMind?

Because you install it once and use it with any model. Open Targets Platform 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 Open Targets Platform in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/QSong-github/DrugClaw/tree/main/skills/dti/open_targets. 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 Open Targets Platform?

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 Open Targets Platform?

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

Is the Open Targets Platform 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.

View all

Brand Voice

affaan-m

CommunityPopular

Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants…

Competitive Platform Analysis

affaan-m

CommunityPopular

Use when scoping a competitive landscape — identifying, categorising, and score-filtering a competitor set before any benchmarking begins. Decides who counts as a competitor, which tier they belong…

Content Engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content…

Domain Modeling

Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a CONTEXT.md, or recording or editing an ADR.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Open Targets Platform Query Skill

Entity Auto-Detection

API

Return Format

Usage

Source

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now