Binding Characterization

by FreedomIntelligence

Binding Characterization is a Data skill for Claude Code, published by FreedomIntelligence in OpenClaw-Medical-Skills.

2.9K stars410 forkson FreedomIntelligence/OpenClaw-Medical-SkillsAdded 2026/08/17Repository updated 2026/07/21

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Install in seconds

Install Binding Characterization

Copy Binding Characterization into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/binding-characterization ~/.claude/skills/binding-characterization

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/binding-characterization/SKILL.md in FreedomIntelligence/OpenClaw-Medical-Skills
Installs to: ~/.claude/skills/binding-characterization
Collection: One of 25 skills cataloged from this repository
Category: Data — 668 skills

What Binding Characterization does

Binding Characterization provides guidance for SPR and BLI binding kinetics experiments, helping researchers plan experiments, troubleshoot poor signal, interpret artifacts, and choose between SPR and BLI platforms.

Binding Characterization is cataloged under Data on DirSkills. Binding Characterization comes from a repository tagged awesome, claude-code, clawhub, medical and nanoclaw.

Documentation

README

Excerpt

Binding Characterization: SPR and BLI

SPR vs BLI Decision Matrix

Factor	Choose SPR	Choose BLI
Sensitivity	Small molecules, fragments (<500 Da)	Large complexes, antibodies
Throughput	Low-medium (serial)	High (96-well parallel)
Sample purity	Required (clogs fluidics)	Tolerates crude lysates
Kinetic resolution	Higher (better for fast kinetics)	Lower
Mass transport	More sensitive (may distort kon)	Less sensitive
Maintenance	High (fluidics system)	Low (dip-and-read)
Sample consumption	Higher (continuous flow)	Lower
Cost per experiment	Lower chip cost, higher run cost	Higher tip cost, lower run cost

Key differences

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Binding Characterization

What else does FreedomIntelligence publish alongside Binding Characterization?
Binding Characterization is one of 25 skills that DirSkills catalogs from FreedomIntelligence/OpenClaw-Medical-Skills, the repository it ships in. Its siblings there include AAV Vector Design Agent, ADHD Daily Planner and ADMET Prediction. Each one is a separate skill with its own page in this directory, installs the same way Binding Characterization does, and is maintained by FreedomIntelligence in that same repository. The rest of the collection is listed on the FreedomIntelligence/OpenClaw-Medical-Skills page.
How does Binding Characterization compare to other Data skills?
Binding Characterization ranks #266 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Binding Characterization against them. Open each page to compare what they document and how they install.