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routing/skill-routes.json
10.9 KB · Oct 5, 2026 · 18:31 UTC
{
"version": 1,
"fallback_skill": "marketing-council",
"routing_policy": {
"focused_when": "One marketing function clearly owns the next decision and routing confidence is materially higher than alternatives.",
"council_when": "The request is cross-functional, ambiguous, has competing strategic explanations, or multiple focused routes score similarly.",
"max_secondary_skills": 5
},
"routes": [
{
"skill": "market-diagnosis",
"priority": 90,
"intents": ["market diagnosis", "market problem", "market demand", "market structure", "growth constraint", "commercial diagnosis"],
"examples": ["Diagnose why growth stalled before recommending channels"],
"negative_examples": ["Write a campaign brief for an already diagnosed problem"]
},
{
"skill": "customer-research",
"priority": 90,
"intents": ["customer research", "customer interviews", "voice of customer", "customer language", "jobs to be done", "switching triggers", "buyer interviews"],
"examples": ["Design customer interviews to understand switching triggers"],
"negative_examples": ["Choose target segments from completed research"]
},
{
"skill": "positioning-strategy",
"priority": 92,
"intents": ["positioning strategy", "positioning", "competitive alternatives", "reason to choose", "category frame", "value proposition positioning"],
"examples": ["Rework positioning against the real competitive alternatives"],
"negative_examples": ["Create a full launch plan across pricing media and retention"]
},
{
"skill": "offer-strategy",
"priority": 88,
"intents": ["offer strategy", "offer architecture", "bundle", "guarantee", "proof", "objection handling", "direct response offer"],
"examples": ["Build an offer with proof and risk reversal"],
"negative_examples": ["Set the base subscription price using willingness to pay"]
},
{
"skill": "pricing-strategy",
"priority": 95,
"intents": ["pricing strategy", "price architecture", "willingness to pay", "price sensitivity", "discount guardrails", "pricing tiers", "monetization"],
"examples": ["Build pricing tiers and discount guardrails from willingness to pay"],
"negative_examples": ["Improve checkout conversion without changing price"]
},
{
"skill": "go-to-market",
"priority": 92,
"intents": ["go to market", "go-to-market", "gtm", "market entry", "launch sequence", "launch plan", "route to market"],
"examples": ["Create a go-to-market sequence for a new B2B product"],
"negative_examples": ["Write only the campaign creative brief"]
},
{
"skill": "campaign-strategy",
"priority": 92,
"intents": ["campaign strategy", "campaign brief", "integrated campaign", "creative territory", "launch campaign", "promotion campaign", "campaign objective"],
"examples": ["Turn this objective into an integrated campaign brief"],
"negative_examples": ["Diagnose the business before we know whether a campaign is needed"]
},
{
"skill": "media-strategy",
"priority": 92,
"intents": ["media strategy", "media plan", "channel mix", "media allocation", "reach plan", "paid media", "media channels"],
"examples": ["Choose the media mix and define each channel job"],
"negative_examples": ["Define brand positioning before media selection"]
},
{
"skill": "content-strategy",
"priority": 88,
"intents": ["content strategy", "content plan", "editorial strategy", "content pillars", "content system", "content distribution", "content calendar"],
"examples": ["Create a content strategy tied to buying situations"],
"negative_examples": ["Design paid media budget allocation"]
},
{
"skill": "conversion-strategy",
"priority": 95,
"intents": ["conversion strategy", "conversion rate", "checkout friction", "form abandonment", "landing page conversion", "cro", "funnel friction", "drop off"],
"examples": ["Audit checkout friction and reduce form abandonment"],
"negative_examples": ["Choose the target category position"]
},
{
"skill": "retention-strategy",
"priority": 92,
"intents": ["retention strategy", "retention", "churn", "lifecycle", "repeat purchase", "reactivation", "customer retention", "renewal"],
"examples": ["Reduce churn and design lifecycle interventions"],
"negative_examples": ["Plan first-time acquisition media"]
},
{
"skill": "marketing-experimentation",
"priority": 90,
"intents": ["marketing experiment", "experiment design", "ab test", "a/b test", "test hypothesis", "experiment roadmap", "test plan"],
"examples": ["Design an experiment to test the new proposition"],
"negative_examples": ["Estimate causal lift with geo holdouts"]
},
{
"skill": "competitive-intelligence",
"priority": 90,
"intents": ["competitive intelligence", "competitor analysis", "competitive landscape", "competitor research", "substitutes", "competitive pressure", "rival analysis"],
"examples": ["Map competitors substitutes and defensibility"],
"negative_examples": ["Write brand copy without competitor research"]
},
{
"skill": "brand-strategy",
"priority": 90,
"intents": ["brand strategy", "brand equity", "brand architecture", "brand associations", "brand memory", "distinctive assets", "brand platform"],
"examples": ["Define brand associations and distinctive asset priorities"],
"negative_examples": ["Choose a performance media bid strategy"]
},
{
"skill": "product-marketing",
"priority": 90,
"intents": ["product marketing", "product story", "product narrative", "product launch message", "demo story", "feature messaging", "product proposition"],
"examples": ["Turn product truth into a launch narrative and demo story"],
"negative_examples": ["Set campaign media spend"]
},
{
"skill": "segmentation-strategy",
"priority": 90,
"intents": ["segmentation strategy", "segmentation", "target segment", "targeting", "segment attractiveness", "audience segments", "market segments"],
"examples": ["Choose commercially useful segments and targeting priorities"],
"negative_examples": ["Run customer interviews before segments are known"]
},
{
"skill": "category-strategy",
"priority": 90,
"intents": ["category strategy", "category creation", "category definition", "category frame", "category maturity", "category entry points", "category demand"],
"examples": ["Decide whether to compete inside the category or reframe it"],
"negative_examples": ["Write a retention email sequence"]
},
{
"skill": "behavioral-marketing",
"priority": 92,
"intents": ["behavioral marketing", "behavioral science", "choice architecture", "friction", "social proof", "defaults", "decision bias", "behavior change"],
"examples": ["Diagnose choice friction and design ethical behavioral interventions"],
"negative_examples": ["Estimate market size"]
},
{
"skill": "marketing-measurement",
"priority": 92,
"intents": ["marketing measurement", "measurement framework", "kpi framework", "attribution", "mmm", "marketing mix modeling", "dashboard metrics", "measurement plan"],
"examples": ["Build a measurement framework that separates leading indicators from business outcomes"],
"negative_examples": ["Design the experiment treatment and control mechanics"]
},
{
"skill": "ai-discovery-strategy",
"priority": 96,
"intents": ["ai discovery", "ai search", "answer engine", "answer surfaces", "generative search", "ai citations", "llm discovery", "ai visibility"],
"examples": ["Improve brand retrievability in AI answer surfaces"],
"negative_examples": ["Traditional SEO keyword plan only"]
},
{
"skill": "conversational-advertising",
"priority": 94,
"intents": ["conversational advertising", "conversational ads", "chat ads", "ai ad conversation", "interactive ad conversation", "conversation ad"],
"examples": ["Design a conversational ad flow without inventing user intent"],
"negative_examples": ["Plan standard display media"]
},
{
"skill": "agentic-commerce",
"priority": 96,
"intents": ["agentic commerce", "agent shopping", "ai shopping agent", "agent checkout", "machine buyer", "agent mediated shopping", "shopping agent"],
"examples": ["Prepare product truth for shopping agents and agent checkout"],
"negative_examples": ["Plan a human-only ecommerce landing page"]
},
{
"skill": "commerce-feed-intelligence",
"priority": 96,
"intents": ["commerce feed", "product feed", "merchant feed", "catalog feed", "feed quality", "product data quality", "structured commerce data"],
"examples": ["Audit product feed truth and completeness for commerce surfaces"],
"negative_examples": ["Choose creator compensation terms"]
},
{
"skill": "autonomous-media-operations",
"priority": 96,
"intents": ["autonomous media", "ai media buying", "media automation", "automated campaign operations", "agentic media", "automation authority", "media rollback"],
"examples": ["Define authority limits and rollback rules for autonomous media operations"],
"negative_examples": ["Create a manual media plan"]
},
{
"skill": "marketing-signal-strategy",
"priority": 95,
"intents": ["marketing signals", "signal strategy", "conversion signals", "value signals", "crm signals", "offline conversion", "signal quality", "optimization signals"],
"examples": ["Design higher-quality value signals for media automation"],
"negative_examples": ["Choose a brand slogan"]
},
{
"skill": "incrementality-design",
"priority": 98,
"intents": ["incrementality", "incremental roas", "incremental cac", "geo holdout", "holdout test", "counterfactual", "causal lift", "causal measurement"],
"examples": ["Design a geo holdout to estimate incremental ROAS"],
"negative_examples": ["Create a descriptive KPI dashboard"]
},
{
"skill": "creator-commerce",
"priority": 95,
"intents": ["creator commerce", "creator affiliate", "creator sales", "influencer commerce", "creator measurement", "creator discovery", "creator media"],
"examples": ["Design a creator program across media search affiliate and commerce"],
"negative_examples": ["Build a retail media plan without creators"]
},
{
"skill": "commerce-media-strategy",
"priority": 95,
"intents": ["commerce media", "retail media", "retailer media", "marketplace ads", "closed loop media", "retail media network", "shopper media"],
"examples": ["Plan retail media while correcting for closed-loop measurement bias"],
"negative_examples": ["Plan generic social media content"]
}
]
}
SHA-256: 62d310ebc5fcb6343e8c5516585358b8bba1e45d8f8b1e79abce144bffe545aa