diffdock
Skill2.6k starsChanged 4 months agoLicence not identifiedView on GitHub
Predict small-molecule binding poses with DiffDock-L (Corso et al. 2023/2024, github.com/gcorso/DiffDock) — blind diffusion docking that places a ligand into a protein pocket without a predefined search box and ranks the samples with a learned confidence model. Reach for this skill to dock a SMILES or SDF against a PDB, to generate ranked 3D poses for a small fragment library, or to get a starting pose for downstream rescoring. DiffDock predicts geometry, not affinity.
16 other projects use a version of this.
Trending
More talk lately.thin dataabout the whole repository
Most recently taken up by
- BrightGold70/skillstheir own version, first seen Nov 8, 2026
- MarieLynneBlock/arcanum-artifextheir own version, first seen Nov 1, 2026
- JonathanChan-geek/claude-science-skillsword for word, first seen Oct 25, 2026
- davidanthonyn/claude-skillstheir own version, first seen Oct 20, 2026
- patoangolano/bio-stacktheir own version, first seen Oct 15, 2026
- Luooops/skillstheir own version, first seen Oct 13, 2026
Who's talking about HughYau/AcademicForge
The biggest 1 of 1 mention linking to the repository that our crawl found. Each line is their own headline.
Other versions16 projects use a version of this.
Word for word · 2
- JimLiu/science-skills★ 228100% same
- JonathanChan-geek/claude-science-skills★ 1100% same
Edited · 0
None found.
Wrote their own version · 14
- wu-yc/LabClaw★ 1.1ksame name
- LeonChaoX/qinyan-academic-skills★ 910same name
- jaechang-hits/SciAgent-Skills★ 386same name
- qinyan-ai/qinyan-academic-skills★ 80same name
- K-Dense-AI/drug-discovery-agent-skills★ 54same name
- MarieLynneBlock/arcanum-artifex★ 4same name
- naity/FM4Life★ 2same name
- BrightGold70/skills★ 1same name
- garri333/Skills★ 1same name
- Luooops/skills★ 1same name
4 more not listed
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.
In this repository32 other files it gives its agents.
- algorithmic-artSkill
- alphafold2Skill
- boltzSkill
- borzoiSkill
- chai1Skill
- compute-env-setupSkill
- customizeSkill
- esmfold2Skill
- evo2Skill
- fair-esm2Skill
- figure-composerSkill
- figure-styleSkill
- indication-dossierSkill
- learnSkill
- ligandmpnnSkill
- literature-reviewSkill
- managed-model-endpointsSkill
- openfold3Skill
- paper-narrativeSkill
- pdf-exploreSkill
- product-self-knowledgeSkill
- proteinmpnnSkill
- remote-compute-modalSkill
- remote-compute-sshSkill
- scgptSkill
- scvi-toolsSkill
- self-awarenessSkill
- skill-creatorSkill
- solublempnnSkill
- using-model-endpointSkill
- web-artifacts-builderSkill
- scientific-visualizationSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 14 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — 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 14 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.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.