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"version": "1.0.0",
"description": "Cubiczan-MoE-7B Expert Knowledge Base - Structured frameworks defining each expert module's domain knowledge, output schemas, and routing triggers",
"total_experts": 20,
"total_frameworks": 24,
"experts": {
"E01_okr_architect": {
"framework": "Doerr OKR Methodology",
"source": "okr-architect.skill",
"routing_triggers": ["OKR", "objectives", "key results", "quarterly goals", "goal setting", "measure what matters"],
"output_schema": {
"type": "okr_cascade",
"fields": {
"objectives": {"type": "array", "items": {"type": "string", "constraint": "qualitative, inspiring, time-bound"}},
"key_results": {"type": "array", "items": {"metric": "string", "target": "number", "score": "float[0.0-1.0]"}},
"classification": {"enum": ["committed", "aspirational"]},
"cascade_level": {"enum": ["company", "department", "team", "individual"]},
"cadence": {"set_frequency": "quarterly", "check_frequency": "weekly"}
}
},
"scoring_rules": {
"committed": "1.0 = delivered, <0.7 = needs post-mortem",
"aspirational": "0.7 = success, 1.0 = may indicate insufficient ambition"
}
},
"E02_competitive_strategy": {
"framework": "Lafley-Martin Playing to Win",
"source": "playing-to-win.skill",
"routing_triggers": ["competitive strategy", "where to play", "how to win", "strategic choices", "cost leadership", "differentiation"],
"output_schema": {
"type": "strategy_cascade",
"fields": {
"winning_aspiration": "string",
"where_to_play": {"geography": "string", "customer_segment": "string", "channel": "string", "category": "string"},
"how_to_win": {"enum": ["cost_leadership", "differentiation"]},
"capabilities_required": {"type": "array", "items": "string"},
"management_systems": {"type": "array", "items": "string"},
"integration_check": {"type": "object", "constraint": "each box must constrain and enable others"}
}
}
},
"E03_market_creation": {
"framework": "Kim-Mauborgne Blue Ocean Strategy",
"source": "blue-ocean-strategy.skill",
"routing_triggers": ["blue ocean", "uncontested market", "ERRC", "value innovation", "non-customers", "buyer utility"],
"output_schema": {
"type": "errc_grid",
"fields": {
"eliminate": {"type": "array", "items": "string"},
"reduce": {"type": "array", "items": "string"},
"raise": {"type": "array", "items": "string"},
"create": {"type": "array", "items": "string"},
"strategy_canvas": {"type": "matrix", "axes": ["factors", "value_curve"]},
"buyer_utility_map": {"type": "matrix", "rows": 6, "cols": 5, "description": "6 stages x 5 levers = 30 cells"},
"non_customers": {
"tier_1": "edge users on market boundary",
"tier_2": "consciously refused the market",
"tier_3": "never considered the market"
}
}
}
},
"E04_strategy_kernel": {
"framework": "Rumelt Good Strategy Bad Strategy",
"source": "rumelt-strategy-kernel.skill",
"routing_triggers": ["strategy kernel", "diagnosis", "guiding policy", "coherent actions", "bad strategy", "strategy evaluation"],
"output_schema": {
"type": "strategy_kernel",
"fields": {
"diagnosis": {"type": "string", "constraint": "single critical challenge statement"},
"guiding_policy": {"type": "string", "constraint": "method that rules things out, not a goal"},
"coherent_actions": {"type": "array", "items": "string", "constraint": "reinforcing, feasible, resource-aligned"},
"bad_strategy_check": {
"fluff_detected": "boolean",
"failure_to_face_challenge": "boolean",
"goals_masquerading_as_strategy": "boolean",
"wish_list_not_strategy": "boolean"
},
"sources_of_power": {"enum": ["leverage", "proximate_objectives", "chain_link_systems", "design", "focus", "dynamics"]}
}
}
},
"E05_lean_validation": {
"framework": "Ries Lean Startup",
"source": "lean-startup-eval.skill",
"routing_triggers": ["lean startup", "MVP", "build measure learn", "pivot", "product market fit", "hypothesis testing"],
"output_schema": {
"type": "lean_evaluation",
"fields": {
"value_hypothesis": "string",
"growth_hypothesis": "string",
"mvp_type": {"enum": ["smoke_test", "concierge", "wizard_of_oz", "single_feature", "piecemeal"]},
"innovation_accounting": {"baseline": "string", "tune": "string", "decision": {"enum": ["pivot", "persevere"]}},
"pivot_type": {"enum": ["zoom_in", "zoom_out", "customer_segment", "customer_need", "platform", "business_architecture", "value_capture", "engine_of_growth", "channel", "technology"]}
}
}
},
"E06_probabilistic_forecasting": {
"framework": "Tetlock Superforecasting",
"source": "superforecasting.skill",
"routing_triggers": ["forecast", "probability", "prediction", "calibration", "base rate", "superforecasting"],
"output_schema": {
"type": "probability_forecast",
"fields": {
"question_clarification": "string",
"decomposition": {"type": "array", "items": {"sub_question": "string", "estimate": "float[0-1]"}},
"outside_view_base_rate": "float[0-1]",
"inside_view_adjustments": {"type": "array", "items": {"factor": "string", "direction": "string", "magnitude": "float"}},
"synthesized_probability": "float[0-1]",
"calibration_check": {"confidence_range": "string", "historical_accuracy": "string"},
"update_triggers": {"type": "array", "items": "string"}
}
}
},
"E07_cognitive_debiasing": {
"framework": "Kahneman Thinking Fast and Slow",
"source": "cognitive-bias-detector.skill",
"routing_triggers": ["bias", "cognitive bias", "thinking error", "System 1", "System 2", "debiasing", "decision quality"],
"output_schema": {
"type": "bias_audit",
"fields": {
"tier_1_biases": {
"anchoring": {"detected": "boolean", "severity": "enum[RED,YELLOW,GREEN]", "evidence": "string"},
"overconfidence": {"detected": "boolean", "severity": "enum[RED,YELLOW,GREEN]", "evidence": "string"},
"planning_fallacy": {"detected": "boolean", "severity": "enum[RED,YELLOW,GREEN]", "evidence": "string"},
"confirmation": {"detected": "boolean", "severity": "enum[RED,YELLOW,GREEN]", "evidence": "string"},
"availability": {"detected": "boolean", "severity": "enum[RED,YELLOW,GREEN]", "evidence": "string"}
},
"tier_2_biases": {
"loss_aversion": {"detected": "boolean", "severity": "enum[RED,YELLOW,GREEN]"},
"sunk_cost": {"detected": "boolean", "severity": "enum[RED,YELLOW,GREEN]"},
"framing": {"detected": "boolean", "severity": "enum[RED,YELLOW,GREEN]"},
"representativeness": {"detected": "boolean", "severity": "enum[RED,YELLOW,GREEN]"},
"status_quo": {"detected": "boolean", "severity": "enum[RED,YELLOW,GREEN]"}
},
"overall_verdict": "enum[RED,YELLOW,GREEN]",
"debiasing_actions": {"type": "array", "items": "string"}
}
}
},
"E08_decision_audit": {
"framework": "Heath Brothers Decisive WRAP",
"source": "wrap-decision-audit.skill",
"routing_triggers": ["decision", "WRAP", "decisive", "option comparison", "decision audit", "should we"],
"output_schema": {
"type": "wrap_audit",
"fields": {
"widen_options": {"vanishing_options_test": "string", "opportunity_cost": "string", "multi_track": "boolean"},
"reality_test": {"deliberate_disagreement": "string", "zoom_in_out": "string", "disconfirming_questions": {"type": "array"}},
"attain_distance": {"test_10_10_10": {"10_minutes": "string", "10_months": "string", "10_years": "string"}, "successor_test": "string", "core_priorities": "string"},
"prepare_wrong": {"bookend_futures": {"best": "string", "worst": "string"}, "tripwires": {"type": "array"}, "safety_factor": "string"},
"villains_detected": {"narrow_framing": "boolean", "confirmation_bias": "boolean", "short_term_emotion": "boolean", "overconfidence": "boolean"}
}
}
},
"E09_probabilistic_betting": {
"framework": "Duke Thinking in Bets",
"source": "thinking-in-bets.skill",
"routing_triggers": ["bet", "decision quality", "resulting", "outcome vs decision", "probability thinking"],
"output_schema": {
"type": "decision_bet",
"fields": {
"decision_quality_score": "float[0-1]",
"outcome_quality_score": "float[0-1]",
"resulting_check": "boolean",
"confidence_calibration": "float[0-1]",
"decision_group_audit": "string"
}
}
},
"E10_financial_risk": {
"framework": "5x5 Probability-Impact Risk Assessment Matrix",
"source": "financial-risk-assessment-matrix.skill",
"routing_triggers": ["risk assessment", "risk matrix", "financial risk", "risk heat map", "probability impact", "risk mitigation"],
"output_schema": {
"type": "risk_assessment",
"fields": {
"risk_register": {
"type": "array",
"items": {
"id": "string",
"category": "enum[Market,Credit,Liquidity,Operational,Strategic]",
"description": "string",
"probability": "int[1-5]",
"impact": "int[1-5]",
"risk_score": "int[1-25]",
"risk_level": "enum[Critical,High,Medium,Low]",
"response": "enum[Avoid,Mitigate,Transfer,Accept]",
"mitigation": "string"
}
},
"heat_map": "matrix[5x5]",
"top_risks": {"type": "array", "max_items": 5},
"aggregate_exposure": "string"
},
"scoring": {
"critical": "20-25",
"high": "12-19",
"medium": "6-11",
"low": "1-5"
}
}
},
"E11_investment_evaluation": {
"framework": "CFO Capital Allocation Rubric",
"source": "investment-evaluation-rubric.skill",
"routing_triggers": ["investment evaluation", "capital allocation", "ROI", "investment decision", "business case", "go no-go"],
"output_schema": {
"type": "investment_rubric",
"fields": {
"categories": {
"strategic_alignment": {"weight": 0.25, "score": "int[1-5]"},
"financial_return": {"weight": 0.30, "score": "int[1-5]"},
"execution_capability": {"weight": 0.20, "score": "int[1-5]"},
"risk_profile": {"weight": 0.15, "score": "int[1-5]"},
"stakeholder_impact": {"weight": 0.10, "score": "int[1-5]"}
},
"weighted_total": "float[0-100]",
"recommendation": "enum[Strongly_Recommended,Recommended,Conditional,Not_Recommended]",
"evidence_tier": "enum[Tier1_Audited,Tier2_Internal,Tier3_Estimates,Insufficient]"
},
"thresholds": {"strongly_recommended": "90-100", "recommended": "75-89", "conditional": "60-74", "not_recommended": "<60"}
}
},
"E12_bottleneck_optimization": {
"framework": "Goldratt Theory of Constraints",
"source": "theory-of-constraints.skill",
"routing_triggers": ["bottleneck", "constraint", "throughput", "theory of constraints", "drum buffer rope", "capacity"],
"output_schema": {
"type": "toc_analysis",
"fields": {
"five_focusing_steps": {
"identify": "string",
"exploit": "string",
"subordinate": "string",
"elevate": "string",
"repeat": "string"
},
"drum_buffer_rope": {"drum": "string", "buffer": "string", "rope": "string"},
"throughput_accounting": {"throughput_rate": "string", "inventory_wip": "string", "operating_expense": "string"},
"policy_constraints": {"type": "array", "items": "string"}
}
}
},
"E13_financial_narrative": {
"framework": "Financial Storytelling",
"source": "financial-storytelling.skill",
"routing_triggers": ["financial story", "earnings narrative", "investor communication", "financial presentation", "numbers narrative"],
"output_schema": {
"type": "cnia_narrative",
"fields": {
"context": "string",
"numbers": "string",
"implication": "string",
"action": "string"
}
}
},
"E14_board_reporting": {
"framework": "Executive Board Report Generator",
"source": "board-reporting-generator.skill",
"routing_triggers": ["board report", "executive summary", "board deck", "KPI dashboard", "board presentation"],
"output_schema": {
"type": "board_report",
"fields": {
"executive_summary": "string",
"kpi_dashboard": {"type": "array", "items": {"metric": "string", "value": "string", "trend": "enum[up,down,flat]", "status": "enum[green,yellow,red]"}},
"strategic_updates": {"type": "array"},
"financial_overview": "string",
"risks_and_mitigations": {"type": "array"},
"decisions_required": {"type": "array"}
}
}
},
"E15_design_thinking": {
"framework": "IDEO/Stanford d.school Design Thinking",
"source": "design-thinking-framework.skill",
"routing_triggers": ["design thinking", "empathy map", "journey map", "ideation", "prototype", "user research", "Crazy 8s"],
"output_schema": {
"type": "design_thinking_output",
"fields": {
"phase": "enum[empathize,define,ideate,prototype,test]",
"empathy_map": {"think_feel": "string", "hear": "string", "see": "string", "say_do": "string", "pains": "string", "gains": "string"},
"journey_map": {"stages": ["aware", "consider", "decide", "use", "advocate"]},
"how_might_we": {"type": "array", "items": "string"},
"ideas": {"type": "array", "items": "string"},
"prototype_plan": {"type": "string", "fidelity": "enum[low,medium,high]"}
}
}
},
"E16_agent_context": {
"framework": "Agentic Context Engineering",
"source": "agentic-context-engineering.skill",
"routing_triggers": ["AI agent", "agent design", "context engineering", "agent behavior", "context window"],
"output_schema": {"type": "context_spec"}
},
"E17_context_optimization": {
"framework": "Context Engineering Framework",
"source": "context-engineering-framework.skill",
"routing_triggers": ["prompt design", "context optimization", "signal to noise", "prompt engineering"],
"output_schema": {"type": "prompt_design_spec"}
},
"E18_multi_agent_coordination": {
"framework": "Cognitive Mesh Protocol",
"source": "cognitive-mesh-protocol.skill",
"routing_triggers": ["multi-agent", "cognitive mesh", "agent coordination", "distributed reasoning", "consensus"],
"output_schema": {"type": "mesh_topology_spec"}
},
"E19_cross_domain_bridging": {
"framework": "Bridge Framework",
"source": "bridge-framework.skill",
"routing_triggers": ["cross-domain", "paradigm translation", "bridge", "analogy", "pattern transfer"],
"output_schema": {"type": "paradigm_translation"}
},
"E20_first_principles": {
"framework": "MIT First-Principles Reasoning",
"source": "mit-first-principles.skill",
"routing_triggers": ["first principles", "fundamental truths", "axioms", "decompose", "rebuild from basics"],
"output_schema": {
"type": "first_principles_analysis",
"fields": {
"fundamental_truths": {"type": "array", "items": "string"},
"assumptions_stripped": {"type": "array", "items": "string"},
"recombined_solutions": {"type": "array", "items": {"path": "string", "description": "string"}}
}
}
}
},
"problem_solving_frameworks": {
"source": "Problem solving framework.md",
"total_frameworks": 20,
"framework_selection_guide": {
"root_cause_unclear": ["cause_effect_map", "root_cause_5_whys", "mece_issue_tree"],
"comparing_options": ["weighted_decision_grid", "cost_benefit_scorecard", "counterfactual_lens"],
"planning_change": ["force_field_dynamics", "pre_mortem_run", "ooda_cycle"],
"generating_ideas": ["scamper_remix", "lateral_shift", "analogy_lift", "blue_ocean_canvas"],
"validating_assumptions": ["hypothesis_test_plan", "first_principles_teardown", "inversion_drill"],
"multi_stakeholder_view": ["six_hats_roundtable", "swot_reality_check"],
"technical_improvement": ["triz_pattern_pull", "prototype_sprint"]
},
"strategic_default": ["pre_mortem", "counterfactual_lens", "weighted_decision_grid"],
"operational_default": ["root_cause_5_whys", "mece_issue_tree", "force_field_dynamics"]
},
"triangulation_protocol": {
"source": "Triangulation Protocol.txt",
"version": "TLP v2.2.4",
"phases": {
"phase_0": {"name": "Foundation (Adversarial)", "components": ["r0_gate", "foundation_attack", "devils_advocate"], "gate": "foundation_score >= 70%"},
"phase_1": {"name": "Spec Convergence", "rounds": "1-2", "gate": "PROVISIONAL_LOCK or LOCKED"},
"phase_2": {"name": "Implementation QA", "rounds": "3-5", "gate": ">=90% all items + third_party"}
},
"statuses": ["EXPLORING", "PROVISIONAL", "PROVISIONAL_LOCK", "LOCKED", "CONVERGED", "UNRESOLVED", "REFRAME_REQUIRED", "HALT"],
"max_rounds": 5,
"convergence_threshold": 0.90,
"foundation_threshold": 0.70
}
}
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