{
  "ocm": "1",
  "id": "shasyanrz-g2-sclc-physicell-dt-cancer-invasion",
  "kind": "skill",
  "name": "cancer_invasion",
  "description": "PhysiCell + PhysiBoSS sample modeling tumor cell invasion driven by a Boolean EMT/invasion signaling network. Cells switch between epithelial and mesenchymal states based on network dynamics.",
  "publisher": "shasyanrz",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "github-agents"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "PhysiCell + PhysiBoSS sample modeling tumor cell invasion driven by a Boolean EMT/invasion signaling network. Cells switch between epithelial and mesenchymal states based on network dynamics."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "github-agents",
      "repository": "https://github.com/shasyanrz/g2-sclc-physicell-dt",
      "path": "sample_projects_intracellular/boolean/cancer_invasion/AGENTS.md",
      "ref": "b2f4737fa3ade64c404bb4469d342f383cc2e27d",
      "url": "https://github.com/shasyanrz/g2-sclc-physicell-dt/blob/b2f4737fa3ade64c404bb4469d342f383cc2e27d/sample_projects_intracellular/boolean/cancer_invasion/AGENTS.md",
      "key": "shasyanrz/g2-sclc-physicell-dt/sample_projects_intracellular/boolean/cancer_invasion/AGENTS.md"
    }
  },
  "instructions": "# AGENTS.md — sample_projects_intracellular/boolean/cancer_invasion/\n\n## What This Directory Is\n\nPhysiCell + PhysiBoSS sample modeling tumor cell invasion driven by a Boolean EMT/invasion signaling network. Cells switch between epithelial and mesenchymal states based on network dynamics.\n\n## G2 Relevance\n\nNot directly used. Shows the pattern for per-cell Boolean state influencing phenotype (migration speed, adhesion). If adding SCLC-A/SCLC-N dynamic interconversion via a Boolean network, this sample demonstrates the implementation pattern.",
  "cost": {
    "context_tokens": 136
  }
}