morphological-exploration

name	morphological-exploration
description	Morphological Exploration Campaign — systematic dimension-combination enumeration to discover unexplored solution spaces via Zwicky box, CCA, and GMA
execution	campaign
dependencies	{"tactics":["creative-ideation-combination-mapping","creative-ideation-consistency-checking","evaluation-filtering","white-space-identification"],"sops":["constraint-injection","context-checkpoint","context-init","creative-ideation-novelty-scoring","creative-ideation-saturation-detection","idea-synthesis","parameter-identification"],"strategies":["cross-consistency-analysis","design-space-mapping","general-morphological-analysis","parameter-variation","zwicky-box-construction"]}

Morphological Exploration

Systematic dimension-combination enumeration to discover unexplored solution spaces via Zwicky box, CCA, and GMA.

Strategy Routing

Strategy	Signal Keywords
zwicky-box-construction	Zwicky, morphological box, parameter matrix, value grid
cross-consistency-analysis	CCA, pairwise consistency, reduce combinations, filter inconsistent
general-morphological-analysis	GMA, Ritchey, iterative morphological, complete analysis
design-space-mapping	design space, coverage, explored regions, visualization
parameter-variation	one-factor, parameter sweep, sensitivity, variation

Manifest

Strategies

Strategy	Description
zwicky-box-construction	Classic Zwicky box: parameter identification → value enumeration → matrix construction
cross-consistency-analysis	CCA: pairwise consistency checking to reduce solution space 90-99%
general-morphological-analysis	Ritchey GMA: complete iterative morphological process
design-space-mapping	Visualize explored/unexplored regions of solution space
parameter-variation	Systematic one-factor-at-a-time parameter sweep

Tactics

Tactic	Description
combination-mapping	Systematically enumerate parameter dimensions and generate viable combinations (shared)
consistency-checking	Pairwise consistency evaluation to reduce solution space
white-space-identification	Identify unexplored viable regions in the morphological matrix

SOPs

SOP	Description
value-enumeration	Enumerate 3-5 values per parameter including extremes
matrix-construction	Build n-dimensional morphological matrix
consistency-pair-evaluation	Evaluate pairwise value consistency (logical/empirical/normative)
solution-space-reduction	Apply CCA to remove inconsistent combinations
path-generation	Generate combination paths through consistent space
white-space-detection	Identify matrix regions not covered by existing methods
combination-evaluation	Evaluate new combinations for feasibility and novelty
design-space-visualization	Generate structured description of design space
morphological-synthesis	Synthesize all morphological exploration outputs

Budget Table

Strategy	web-search	web-research	paper-overview	paper-search	paper-research
zwicky-box-construction	25	8	25	15	5
cross-consistency-analysis	15	5	15	10	3
general-morphological-analysis	30	10	30	20	8
design-space-mapping	25	8	20	12	5
parameter-variation	20	5	20	12	5

MCP Tools

Tool	Server	Purpose
brave_web_search	brave-search	General web search for morphological methods
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 relevant research papers
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)

Available Tactics

Tactic	Role
combination-mapping	Enumerate parameter combinations (shared, from combinatorial-creativity)
consistency-checking	Pairwise consistency evaluation and space reduction
white-space-identification	Identify unexplored viable regions

Available SOPs

SOP	Role
value-enumeration	Enumerate parameter values with boundary extremes
matrix-construction	Build n-dimensional morphological matrix
consistency-pair-evaluation	Evaluate pairwise consistency
solution-space-reduction	Remove inconsistent combinations via CCA
path-generation	Generate paths through consistent space
white-space-detection	Detect uncovered matrix regions
combination-evaluation	Evaluate combinations for feasibility/novelty
design-space-visualization	Describe design space structure
morphological-synthesis	Final output synthesis

Available Strategies

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

Strategy	When to use
cross-consistency-analysis	CCA: pairwise consistency checking to reduce solution space 90-99%
design-space-mapping	Visualize explored/unexplored regions of solution space
general-morphological-analysis	Ritchey GMA: complete iterative morphological process
parameter-variation	Systematic one-factor-at-a-time parameter sweep
zwicky-box-construction	Classic Zwicky box: parameter identification → value enumeration → matrix construction

Available Tactics

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

Tactic	When to use
creative-ideation-combination-mapping	Systematically enumerate parameter dimensions and generate viable combinations. Orchestrates parameter extraction → value enumeration → compatibility assessment → synthesis.
creative-ideation-consistency-checking	Pairwise consistency evaluation to reduce solution space by identifying and removing inconsistent combinations.
evaluation-filtering	Multi-dimensional evaluation and tiered filtering of generated ideas. Orchestrates novelty assessment → feasibility check → ranking → selection.
white-space-identification	Identify unexplored viable regions in the morphological matrix where no existing methods operate.

Available SOPs

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

SOP	When to use
constraint-injection	Inject artificial constraints to force creative divergence. Generates and applies constraints (resource, time, material, audience, scale) to existing ideas to produce variants.
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.
idea-synthesis	Synthesize diverse ideas into coherent solution concepts. Combines fragments from multiple ideation passes into structured, actionable ideas with clear mechanism descriptions.
parameter-identification	Identify the key parameters/dimensions of a problem space. Produces a structured parameter list with value ranges for morphological analysis.