targeting-ligand-designer
Active targeting skill for designing and validating nanoparticle targeting strategies
Profile →npx skills add a5c-ai/babysitter --skill targeting-ligand-designer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Targeting Ligand Designer ## Purpose The Targeting Ligand Designer skill provides systematic design of active targeting strategies for nanoparticle drug delivery, enabling selection and validation of targeting moieties for specific cellular or tissue targets. ## Capabilities - Targeting ligand selection (antibodies, peptides, aptamers) - Conjugation chemistry optimization - Binding affinity assessment - Biodistribution prediction - Receptor expression analysis - In vitro targeting validation ## Usage Guidelines ### Targeting Design 1. **Ligand Selection** - Identify target receptor - Evaluate ligand options - Consider size and stability 2. **Conjugation Optimization** - Select chemistry - Optimize ligand density - Preserve binding activity 3. **Validation** - Measure binding affinity - Test cellular uptake - Assess selectivity ## Process Integration - Nanoparticle Drug Delivery System Development - Nanosensor Development and Validation Pipeline ## Input Schema ```json { "target_receptor": "string", "cell_type": "string", "nanoparticle_type": "string", "ligand_candidates": ["string"], "required_specificity": "number (fold)" } ``` ## Output Schema ```json { "recommended_ligand": {
- Purpose
- Capabilities
- Usage Guidelines
- Targeting Design
- Process Integration
- Input Schema
- Output Schema
What does the targeting-ligand-designer skill do?
Active targeting skill for designing and validating nanoparticle targeting strategies
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill targeting-ligand-designer --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 a5c-ai/babysitter, a repository with 1,642 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.