abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Construct multiple input spaces, extract a shared generic space, selectively project structure into a blend, and simulate emergent properties that are not present in either source alone.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill conceptual-blending --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill conceptual-blending -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill conceptual-blending -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill conceptual-blending -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill conceptual-blending -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill conceptual-blending -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill conceptual-blending -a windsurf -y
name: conceptual-blending description: "Construct multiple input spaces, extract a shared generic space, selectively project structure into a blend, and simulate emergent properties that are not present in either source alone."
Blend multiple input spaces through a generic space and selective projection to generate emergent research ideas.
mode_contracts:
two-space-blend: &blending_input
required: [input_spaces]
optional: [compatibility_constraints]
constraints: [each_input_space_must_have_explicit_entities_and_relations]
multi-space-blend: *blending_input
emergent-property-search: *blending_inputDo not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.
1. You MUST load skill `construct-input-spaces` to construct the input spaces. 2. You MUST load skill `extract-generic-space` to extract the generic space. 3. You MUST load skill `simulate-emergent-properties` to simulate emergent properties. 4. You MUST load skill `evaluate-compatibility` to check compatibility. 5. You MUST load skill `synthesize-idea` to synthesize the blend. If the blend should be explored across a systematic combination space, consider `explore-dimensional-space`. If its claimed structural transfer needs formal testing, consider `audit-structural-equivalence`. Deviation: two-space and multi-space modes change only the number of inputs; generic-space extraction is mandatory.
mode_contracts:
two-space-blend: &space_blend_output
produces: [input_space_set, generic_space, blend_candidates, idea_set]
delta_fields: [findings, hypothesis_updates, uncertainties, decisions, open_questions]
multi-space-blend: *space_blend_output
emergent-property-search:
produces: [input_space_set, blend_candidates, emergent_property_report, idea_set]
delta_fields: [findings, hypothesis_updates, uncertainties, decisions, open_questions]Reject mere juxtaposition, unsupported emergence claims, and blends with unresolved relation conflicts.
Append source-space changes, projected relations, emergence claims, compatibility findings, and selected ideas.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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