manifest.json

{
  "name": "marketing-council",
  "version": "1.5.0",
  "description": "A cross-agent marketing strategy pack with 29 total skills: 28 focused skills plus the Marketing Council router and fallback, with specialist agents, evidence gates, and measurable decision workflows.",
  "entry_skill": "skills/marketing-council/SKILL.md",
  "focused_skills": [
    "market-diagnosis",
    "customer-research",
    "positioning-strategy",
    "offer-strategy",
    "pricing-strategy",
    "go-to-market",
    "campaign-strategy",
    "media-strategy",
    "content-strategy",
    "conversion-strategy",
    "retention-strategy",
    "marketing-experimentation",
    "competitive-intelligence",
    "brand-strategy",
    "product-marketing",
    "segmentation-strategy",
    "category-strategy",
    "behavioral-marketing",
    "marketing-measurement",
    "ai-discovery-strategy",
    "conversational-advertising",
    "agentic-commerce",
    "commerce-feed-intelligence",
    "autonomous-media-operations",
    "marketing-signal-strategy",
    "incrementality-design",
    "creator-commerce",
    "commerce-media-strategy"
  ],
  "agents": 24,
  "adapters": [
    "generic",
    "claude",
    "openai",
    "copilot"
  ],
  "runtime": {
    "python": ">=3.10",
    "third_party_dependencies": []
  },
  "routing": {
    "fallback_skill": "marketing-council",
    "skill_routes": "routing/skill-routes.json",
    "execution_bindings": "routing/skill-execution-bindings.json",
    "skill_router": "scripts/skill_router.py",
    "dynamic_router": "scripts/dynamic_router.py",
    "neural_router": "scripts/neural_router.py"
  },
  "repository": "https://github.com/imMamdouhaboammar/marketing-council-pack",
  "distribution": {
    "openai_plugin": ".codex-plugin/plugin.json",
    "claude_plugin": ".claude-plugin/plugin.json",
    "claude_marketplace": ".claude-plugin/marketplace.json",
    "openai_marketplace": ".agents/plugins/marketplace.json",
    "skills_cli": "npx skills add imMamdouhaboammar/marketing-council-pack --all -y"
  },
  "knowledge_graph": {
    "graph": "neural/graph.json",
    "figures": 25,
    "schools": 19,
    "principles": 44,
    "applied_theories": 46,
    "signals": 44,
    "edges": 682,
    "evidence_nodes": 6
  }
}