binding-characterization
About
This skill provides guidance for planning and troubleshooting SPR and BLI binding kinetics experiments. It helps developers choose between platforms, interpret data artifacts, and resolve poor binding signals. Key features include a decision matrix comparing SPR/BLI and troubleshooting for common experimental issues.
Quick Install
Claude Code
Recommendednpx skills add NeverSight/skills_feed -a claude-code/plugin add https://github.com/NeverSight/skills_feedgit clone https://github.com/NeverSight/skills_feed.git ~/.claude/skills/binding-characterizationCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the binding-characterization skill?
binding-characterization is a Claude Skill by NeverSight. Skills package instructions and resources that Claude loads on demand, so Claude can perform binding-characterization-related tasks without extra prompting.
How do I install binding-characterization?
Use the install commands on this page: add binding-characterization to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does binding-characterization belong to?
binding-characterization is in the experimental category, tagged binding, spr, bli and validation.
Is binding-characterization free to use?
Yes. binding-characterization is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
Related Skills
This skill provides expert guidance for planning, troubleshooting, and interpreting Surface Plasmon Resonance (SPR) and Bio-Layer Interferometry (BLI) binding experiments. It helps developers choose between SPR and BLI platforms using a detailed decision matrix based on factors like sensitivity, throughput, and sample requirements. Use it when designing kinetics studies or analyzing binding data artifacts.
This skill provides guidance for optimizing cell-free protein synthesis (CFPS) experiments. It helps with planning, troubleshooting low yields, designing DNA templates, and expressing difficult proteins like membrane or disulfide-rich ones. Key features include a system selection guide comparing yields, PTMs, and costs for different CFPS platforms.
This skill provides guidance for optimizing cell-free protein synthesis (CFPS) experiments. It helps developers plan experiments, troubleshoot low yields or aggregation, and design DNA templates, especially for difficult proteins like membrane or disulfide-rich ones. Key features include a system selection guide comparing yields, costs, and capabilities across different CFPS platforms.
This skill provides expert guidance for planning, troubleshooting, and interpreting Surface Plasmon Resonance (SPR) and Bio-Layer Interferometry (BLI) binding kinetics experiments. It helps developers choose between SPR and BLI platforms using a detailed decision matrix and offers solutions for common issues like poor signal or data artifacts. Use it when designing or validating binding assays to ensure robust experimental results.
