opentargets-database
Skill1.1k starsChanged 8 months agoNo licenceView on GitHub
Query Open Targets Platform for target-disease associations, drug target discovery, tractability/safety data, genetics/omics evidence, known drugs, for therapeutic target identification.
13 other projects use a version of this, 4 of them edited.
Trending
More talk lately.thin dataabout the whole repository
Most recently taken up by
- BrightGold70/skillsword for word, first seen Nov 8, 2026
- 1stANUNNAKI/majlistheir own version, first seen Nov 8, 2026
- MarieLynneBlock/arcanum-artifexedited, first seen Nov 1, 2026
- davidanthonyn/claude-skillsedited, first seen Oct 20, 2026
- Osmosy/vector-genetheir own version, first seen Oct 13, 2026
- garri333/Skillsword for word, first seen Oct 11, 2026
Who's talking about wu-yc/LabClaw
- rpatrik96/research-agora“Interested in contributing from Tübingen + relevant reference”GitHub · Mar 31, 2026 · 1 reactions
- sudosubin/agents.nix“agent-skills.github.wu-yc.labclaw: init at 0-unstable-2026-03-19”GitHub · Oct 4, 2026
The biggest 2 of 2 mentions linking to the repository that our crawl found. Each line is their own headline.
Used with
Projects with it also use usfiscaldata and simpy.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
yf8578Skillusfiscaldata
Query the U.S. Treasury Fiscal Data API for federal financial data including national debt, government spending, revenue, interest rates, exchange rates, and savings bonds. Access 54 datasets and 182 data tables with no API key required. Use when working with U.S. federal fiscal data, national debt tracking (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates on Treasury securities, foreign exchange rates, savings bonds, or any U.S. government financial statistics.
Also in 3 projects that use this
tondevrelSkillsimpy
A process-based discrete-event simulation framework. Use for modeling queuing systems, supply chains, manufacturing processes, network simulation, project management, and any system where events occur at specific points in time. Load when working with discrete event simulation, process modeling, resource allocation, virtual time, simpy.Environment, simpy.Resource, or event-driven simulation.
Also in 3 projects that use this
Other versions13 projects use a version of this.
Word for word · 3
- BrightGold70/skills★ 1100% same
- garri333/Skills★ 1100% same
- yf8578/claude-skills-collection★ 1100% same
Edited · 4
- LeonChaoX/qinyan-academic-skills★ 910100% same
- qinyan-ai/qinyan-academic-skills★ 80100% same
- MarieLynneBlock/arcanum-artifex★ 498% same
- davidanthonyn/claude-skills★ 0100% same
Wrote their own version · 6
- google-deepmind/science-skills★ 3.4ksame name
- jaechang-hits/SciAgent-Skills★ 386same name
- BeyondTheProtocol/polaris★ 47same name
- 1stANUNNAKI/majlis★ 2same name
- uppifyagency/boilerplate-saas-2026★ 1same name
- Osmosy/vector-gene★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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- The first 60 shown.
The file
Show its rules and text
We split this skill into the rules it gives an agent
16 rules. 0 are common, 16 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 10 edited versions we read keep these.
16
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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