Initial release: Cubiczan-MoE-7B model config, expert knowledge base, and model card
0ae90a0 verified | { | |
| "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 | |
| } | |
| } | |