skills/brand-strategy/references/skill-spec.json

{
  "name": "brand-strategy",
  "purpose": "Define durable brand associations, distinctive assets, architecture, and memory priorities",
  "baseline_failures": [
    "brand as tone words",
    "rebranding without evidence",
    "short-term performance overriding memory"
  ],
  "activation": {
    "positive": [
      "Help me make the brand strategy using the evidence we have",
      "Review our brand strategy and tell me what decision to make next",
      "Build a rigorous brand strategy for this marketing problem"
    ],
    "implicit": [
      "We have conflicting signals and need a decision about brand strategy",
      "I have data but I am not sure what it means for brand strategy",
      "Challenge my assumptions before we finalize brand strategy"
    ],
    "negative": [
      "Write polished copy only; the strategy and decision are already approved",
      "Summarize the supplied material without making a marketing decision"
    ],
    "collisions": [
      "The brief spans several marketing functions and no single function clearly owns the next decision"
    ]
  },
  "outputs": [
    "brand platform",
    "association priorities",
    "distinctive asset rules"
  ],
  "execution": {
    "primary_agent": "brand-equity-strategist",
    "counterweight_agent": "marketing-skeptic",
    "primary_hook": "horizon-balance-check",
    "evidence_hook": "evidence-gate",
    "binding_source": "../../routing/skill-execution-bindings.json"
  },
  "invariants": [
    "Do not finalize brand strategy without separating evidence from inference.",
    "Do not invent customer, market, platform, product, policy, or performance facts.",
    "State material uncertainty and reversal evidence instead of hiding it behind confident prose."
  ],
  "non_goals": [
    "Generic brainstorming without a decision boundary",
    "Pure copy polishing or formatting after the strategy is already approved",
    "Cross-functional orchestration when another focused skill clearly owns the work"
  ],
  "workflow": [
    {
      "id": "frame",
      "action": "Frame the brand strategy and the decision owner for brand-strategy.",
      "why": "Prevents solving an adjacent problem or drifting into tactics.",
      "freedom": "low",
      "evidence_required": "User objective, constraints, and the decision that must change.",
      "completion": "The brand strategy is stated as one explicit decision question."
    },
    {
      "id": "evidence",
      "action": "Collect and classify the minimum evidence needed for brand strategy: brand tracking, category memory structures, customer associations.",
      "why": "Separates known facts from inference and unsupported assumptions.",
      "freedom": "medium",
      "evidence_required": "Primary supplied evidence first; current external sources only when freshness matters.",
      "completion": "Evidence is tagged as fact, inference, assumption, or unknown and material gaps are visible."
    },
    {
      "id": "diagnose",
      "action": "Test competing explanations for the brand strategy instead of accepting the first plausible story.",
      "why": "Reduces confirmation bias and premature prescription.",
      "freedom": "high",
      "evidence_required": "At least one credible alternative explanation or counterweight.",
      "completion": "A primary explanation is selected and at least one alternative is rejected with reasons."
    },
    {
      "id": "decide",
      "action": "Produce the brand strategy with explicit trade-offs, risks, and what would reverse it.",
      "why": "Turns analysis into an accountable marketing decision.",
      "freedom": "medium",
      "evidence_required": "Decision criteria tied to the evidence ledger.",
      "completion": "The recommended decision, rejected alternative, risks, and reversal evidence are explicit."
    },
    {
      "id": "measure",
      "action": "Define how the brand strategy will be observed, challenged, and handed off.",
      "why": "Prevents recommendation theater and orphaned strategy.",
      "freedom": "medium",
      "evidence_required": "Observable outcome, leading signal, and next owner.",
      "completion": "Measurement, confidence, next handoff, and stop/escalation condition are stated."
    }
  ],
  "capabilities": {
    "required": [
      "reason over supplied context",
      "read packaged references"
    ],
    "optional": [
      "current web research when freshness is material",
      "deterministic calculation or parsing when available"
    ],
    "not_allowed": [
      "fabricate tool execution",
      "fabricate evidence",
      "perform irreversible external actions without authorization"
    ]
  },
  "evidence_policy": {
    "priority": [
      "user-provided primary evidence",
      "authoritative first-party sources",
      "reputable independent evidence"
    ],
    "freshness": "Verify current platform, policy, pricing, market, and product claims when they materially affect the decision.",
    "status_labels": [
      "fact",
      "inference",
      "assumption",
      "unknown"
    ]
  },
  "failure_behavior": "If evidence is insufficient for a defensible brand strategy, return the missing evidence, safest provisional interpretation, and the next smallest research action instead of guessing.",
  "completion_conditions": [
    "The brand strategy is explicit and answers the user’s decision question.",
    "Evidence and inference are distinguishable.",
    "At least one credible alternative or counterweight was considered.",
    "Outputs, measurement, confidence, and reversal evidence are present.",
    "Any required handoff is named and bounded."
  ],
  "handoffs": {
    "fallback": "marketing-council",
    "dynamic_router": "../../scripts/dynamic_router.py",
    "skill_router": "../../scripts/skill_router.py",
    "neural_router": "../../scripts/neural_router.py",
    "rule": "Use the dynamic router only when the request explicitly establishes multiple dependent decision boundaries; use Council when ownership is ambiguous."
  },
  "host_targets": [
    "ChatGPT",
    "Codex",
    "Claude Code",
    "generic Agent Skills hosts"
  ],
  "eval_files": [
    "evals/activation.yml",
    "evals/behavior.yml",
    "evals/pressure.yml",
    "evals/regression.yml"
  ]
}