Agent skill

targeting-ligand-designer

Active targeting skill for designing and validating nanoparticle targeting strategies

Stars 514
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/nanotechnology/skills/targeting-ligand-designer

Metadata

Additional technical details for this skill

phase
6
domain
science
category
applications
priority
high
specialization
nanotechnology
tools libraries
[
    "Binding kinetics analyzers",
    "Molecular modeling tools"
]

SKILL.md

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": {
    "name": "string",
    "type": "antibody|peptide|aptamer|small_molecule",
    "Kd": "number (nM)"
  },
  "conjugation_strategy": {
    "chemistry": "string",
    "ligand_density": "number (ligands/NP)",
    "orientation": "string"
  },
  "predicted_performance": {
    "specificity": "number (fold)",
    "uptake_enhancement": "number (fold)"
  }
}

Expand your agent's capabilities with these related and highly-rated skills.

a5c-ai/babysitter

gsd-tools

Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).

514 31
Explore
a5c-ai/babysitter

model-profile-resolution

Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.

514 31
Explore
a5c-ai/babysitter

verification-suite

Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.

514 31
Explore
a5c-ai/babysitter

state-management

STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.

514 31
Explore
a5c-ai/babysitter

git-integration

Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.

514 31
Explore
a5c-ai/babysitter

frontmatter-parsing

YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.

514 31
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results