How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for experimental characterization. Also trigger when code imports `adaptyv`, `adaptyv_sdk`, or `FoundryClient`, or references `foundry-api-public.adaptyvbio.com`.
diffdock
diffdock is an open-source data skill for Claude Code and compatible agents, published by K-Dense-AI. Its author describes it as: “DiffDock and DiffDock-L molecular docking. Use for protein-small-molecule pose prediction from PDB or sequence plus SMILES/SDF/MOL2, batch docking, virtual screening, and pose-confidence interpretation. Not for bindin…”. The project has 34k stars on GitHub and is available under the MIT license. Add it to your setup with `git clone https://github.com/K-Dense-AI/scientific-agent-skills ~/.claude/skills/diffdock`.
What diffdock does
DiffDock is a diffusion-based deep learning tool for molecular docking that predicts 3D binding poses of small molecule ligands to protein targets. It represents the state-of-the-art in computational docking, crucial for structure-based drug discovery and chemical biology.
Installation
Add diffdock to your agent with:
git clone https://github.com/K-Dense-AI/scientific-agent-skills ~/.claude/skills/diffdockAlways review a skill's source before installing it. This command comes from the skill's public repository; the linked repo is the source of truth for exact setup steps.
What's inside
The SKILL.md for diffdock is organised into these sections:
- Overview
- When to Use This Skill
- Installation and Environment Setup
- Check Environment Status
- Installation Options
- Core Workflows
- Workflow 1: Single Protein-Ligand Docking
- Workflow 2: Batch Processing Multiple Complexes
- Workflow 3: Analyzing Results
- Confidence Score Interpretation
- Parameter Customization
- Using Custom Configuration
When to use it
Reach for diffdock when you want data help from your agent without writing the same instructions every session. Load the skill and the agent picks it up automatically for relevant tasks.
Strengths
- Clear MIT license — safe to read and adapt
- Ships in K-Dense-AI/scientific-agent-skills, an established project with 33,821 GitHub stars
- Actively maintained (recent commits)
Topics
Frequently asked questions
- What does diffdock do?
- DiffDock and DiffDock-L molecular docking. Use for protein-small-molecule pose prediction from PDB or sequence plus SMILES/SDF/MOL2, batch docking, virtual screening, and pose-confidence interpretation. Not for binding affinity prediction.
- How do I install diffdock?
- Run git clone https://github.com/K-Dense-AI/scientific-agent-skills ~/.claude/skills/diffdock in your agent, then reload your skills. Review the source at https://github.com/K-Dense-AI/scientific-agent-skills before installing.
- Is diffdock free to use?
- Yes. diffdock is free and open source under the MIT license, so you can read, run, and adapt it within that license's terms.
- Where does diffdock come from?
- diffdock ships inside K-Dense-AI/scientific-agent-skills, a repository that contains 41 catalogued skills in total. The repository's 33,821 GitHub stars apply to that whole collection, not to this skill on its own.
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