Combinatorial Creativity

Produce emergent concepts via concept blending, multi-level bisociation, and function combination (Fauconnier-Turner).

Strategy Routing

Strategy	Signal Keywords
concept-blending	blend, Fauconnier, Turner, 4-space, input space, generic space, blended space
multi-level-bisociation	bisociation, abstraction levels, multi-level, collision, Koestler
design-space-exploration	parametric, constraint satisfaction, combinatorial search, design space
function-combination	TRIZ, function, recombination, redistribution, function model
emergent-property-hunting	emergence, non-additive, synergy, novel property, combination effect

Manifest

Strategies

Strategy	Description
concept-blending	Fauconnier-Turner 4-space model: Generic + Input1 + Input2 → Blended Space
multi-level-bisociation	Simultaneous concept collision at multiple abstraction levels
design-space-exploration	Parametric variation + constraint satisfaction combinatorial search
function-combination	TRIZ function analysis: function-level recombination and redistribution
emergent-property-hunting	Seek properties that emerge from combination (non-additive)

Tactics

Tactic	Description
combination-mapping	Systematically enumerate parameter dimensions and generate viable combinations (shared)
blend-construction	Construct complete 4-space blends with emergent structure
emergence-detection	Detect and validate emergent properties from combinations

SOPs

SOP	Description
input-space-construction	Build input spaces for two source concepts
generic-space-extraction	Extract shared abstract structure from two input spaces
blend-composition	Compose new connections in blended space
blend-completion	Complete blend with background knowledge
blend-elaboration	Run blend as mental simulation
vital-relation-mapping	Map 15 vital relations between concepts
abstraction-ladder	Perform bisociation at multiple abstraction levels
function-redistribution	Redistribute functions across different components
emergent-property-identification	Identify non-additive properties from combinations
combinatorial-synthesis	Synthesize all combinatorial creativity outputs

Budget Table

Strategy	web-search	web-research	paper-overview	paper-search	paper-research
concept-blending	25	10	30	20	10
multi-level-bisociation	25	10	25	15	8
design-space-exploration	20	8	20	12	5
function-combination	20	8	20	12	5
emergent-property-hunting	25	10	25	15	8

MCP Tools

Tool	Server	Purpose
brave_web_search	brave-search	General web search for combinatorial concepts
brave_llm_context	brave-search	Deep content extraction from web pages
apify/rag-web-browser	apify	Full page scraping for detailed content
get_paper_content	alphaxiv	Read academic paper content
discover_papers	alphaxiv	Find research papers on blending/combination
relevanceSearch	semantic-scholar	Search academic literature
paper	semantic-scholar	Get paper details
citations	semantic-scholar	Trace citation networks

Context Management

• Each strategy tracks its own budget via State Ledger
• Strategies MUST NOT exceed allocated budget
• Campaign monitors cumulative spend across all strategies
• If a strategy exhausts budget before meeting yield, escalate to campaign level for reallocation
• Prefer paper-overview over paper-research for initial exploration (lower cost)
• Emergent properties are the primary campaign-level quality metric

Available Tactics

Tactic	Role
combination-mapping	Systematically enumerate parameter dimensions and generate viable combinations (shared)
blend-construction	Construct complete 4-space blends with emergent structure
emergence-detection	Detect and validate emergent properties from combinations

Available SOPs

SOP	Role
input-space-construction	Build input spaces for two source concepts
generic-space-extraction	Extract shared abstract structure from two input spaces
blend-composition	Compose new connections in blended space
blend-completion	Complete blend with background knowledge
blend-elaboration	Run blend as mental simulation
vital-relation-mapping	Map 15 vital relations between concepts
abstraction-ladder	Perform bisociation at multiple abstraction levels
function-redistribution	Redistribute functions across different components
emergent-property-identification	Identify non-additive properties from combinations
combinatorial-synthesis	Synthesize all combinatorial creativity outputs

Available Strategies

Optional, no fixed order; the final leaf is always a sop.

Strategy	When to use
concept-blending	Fauconnier-Turner 4-space model: Generic + Input1 + Input2 → Blended Space
design-space-exploration	Parametric variation + constraint satisfaction combinatorial search
emergent-property-hunting	Seek properties that emerge from combination (non-additive)
function-combination	TRIZ function analysis: function-level recombination and redistribution
multi-level-bisociation	Simultaneous concept collision at multiple abstraction levels

Available Tactics

Optional, no fixed order; the final leaf is always a sop.

Tactic	When to use
blend-construction	Construct complete 4-space blends with emergent structure. Orchestrates input-space-construction → generic-space-extraction → blend-composition.
creative-ideation-combination-mapping	Systematically enumerate parameter dimensions and generate viable combinations. Orchestrates parameter extraction → value enumeration → compatibility assessment → synthesis.
emergence-detection	Detect and validate emergent properties from combinations. Orchestrates emergent-property-identification → blend-elaboration.
evaluation-filtering	Multi-dimensional evaluation and tiered filtering of generated ideas. Orchestrates novelty assessment → feasibility check → ranking → selection.

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP	When to use
abstraction-ladder	Perform bisociation at multiple abstraction levels
blend-completion	Complete blend with background knowledge
blend-composition	Compose new connections in blended space
blend-elaboration	Run blend as mental simulation
combinatorial-synthesis	Synthesize all combinatorial creativity outputs
context-checkpoint	Append research process and results to the current Phase's context file. Covers both process and results with genuine substance. Use this skill at plan-designated checkpoint points — typically after each strategy completes or at key decision nodes within a research Phase.
context-init	Create a new context file for a research Phase. Called once at Phase start to initialize the file that subsequent context-checkpoint calls will append to. Use this skill whenever a new research Phase begins and a fresh context file is needed.
creative-ideation-novelty-scoring	Score ideas on novelty dimensions — structural distance from known solutions, conceptual surprise, domain-crossing depth. Produces ranked novelty assessment.
creative-ideation-saturation-detection	Determine when additional ideation yields diminishing returns. Analyzes latest idea batch against existing corpus to judge continue/near-saturation/saturated.
domain-scanning	Scan distant domains for transferable principles. Uses web-search and paper-overview to identify analogous solutions in unrelated fields.
emergent-property-identification	Identify non-additive properties from combinations
function-redistribution	Redistribute functions across different components
generic-space-extraction	Extract shared abstract structure from two input spaces
idea-synthesis	Synthesize diverse ideas into coherent solution concepts. Combines fragments from multiple ideation passes into structured, actionable ideas with clear mechanism descriptions.
input-space-construction	Build input spaces for two source concepts
parameter-identification	Identify the key parameters/dimensions of a problem space. Produces a structured parameter list with value ranges for morphological analysis.
vital-relation-mapping	Map 15 vital relations between concepts