Agent skill · Data & Analytics

binding-characterization

Guidance for SPR and BLI binding characterization experiments. Use when: (1) Planning binding kinetics experiments, (2) Troubleshooting poor/no binding signal, (3) Interpreting kinetic data artifacts, (4) Choosing between SPR vs BLI platforms.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-code
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill binding-characterization --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 9 KB
Bundled scripts: none
Path: skills/binding-characterization/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 ### SPR (Surface Plasmon Resonance) - **Mechanism**: Detects refractive index changes at gold surface - **Surface**: Gold chip with dextran matrix (CM5, CM7, etc.) - **Flow**: Continuous microfluidics - **Best for**: Small molecules, high-affinity, precise kon/koff ### BLI (Biolayer Interferometry) - **Mechanism**: Measures optical interference pattern shift - **Surface**: Fiber optic biosensor tips (SA, Ni-NTA, AHC) - **Flow**: D

What's inside
Steps it walks through
  1. SPR vs BLI Decision Matrix
  2. Key differences
  3. SPR (Surface Plasmon Resonance)
  4. BLI (Biolayer Interferometry)
  5. Troubleshooting: Why BLI works but SPR doesn't
  6. Why SPR works but BLI doesn't
  7. Mass transport considerations
  8. Symptoms
  9. When mass transport matters
  10. Mitigation strategies
  11. Nonspecific binding mitigation
  12. Buffer additives (ranked by effectiveness)
  13. pH optimization
  14. Reference subtraction
More from OpenClaw-Medical-Skills
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About this skill
What does the binding-characterization skill do?

Guidance for SPR and BLI binding characterization experiments. Use when: (1) Planning binding kinetics experiments, (2) Troubleshooting poor/no binding signal, (3) Interpreting kinetic data artifacts, (4) Choosing between SPR vs BLI platforms.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill binding-characterization --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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