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.
npx playbooks add skill adaptyvbio/protein-design-skills --skill 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.
This compact 32-word instruction set is purpose-built for debugging work in AI coding agents. Install with a single command.
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.
Binding Characterization is a free debugging skill for AI coding agents. 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.. It provides a specialized system prompt that configures your agent with debugging expertise.
Run npx playbooks add skill adaptyvbio/protein-design-skills --skill binding-characterization in your terminal to install Binding Characterization into your Claude Code session. It works immediately after installation.
Binding Characterization is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Binding Characterization is completely free and open source. The full source is available on GitHub at https://github.com/adaptyvbio/protein-design-skills/tree/main/skills/binding-characterization. You only need a subscription to the AI agent you use it with.
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