{ "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 } }