conceptual-blending
SkillDev toolsLets your agent combine ideas from two or more fields to generate new research concepts neither field alone would suggest.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the conceptual-blending skill
About this skill
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.
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/conceptual-blending/SKILL.md and read by ahel’s review.
Purpose
Blend multiple input spaces through a generic space and selective projection to generate emergent research ideas.
Input contract
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_input
Execution protocol
Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.
- You MUST load skill
construct-input-spacesto construct the input spaces. - You MUST load skill
extract-generic-spaceto extract the generic space. - You MUST load skill
simulate-emergent-propertiesto simulate emergent properties. - You MUST load skill
evaluate-compatibilityto check compatibility. - You MUST load skill
synthesize-ideato synthesize the blend. If the blend should be explored across a systematic combination space, considerexplore-dimensional-space. If its claimed structural transfer needs formal testing, consideraudit-structural-equivalence. Deviation: two-space and multi-space modes change only the number of inputs; generic-space extraction is mandatory.
Mode branches
two-space-blend: blend two explicit input spaces.multi-space-blend: blend three or more spaces while preserving each projection trace.emergent-property-search: prioritize properties absent from every source space alone.
Output contract
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]
Thresholds and quality gates
- B: all source spaces and projected relations are recorded; emergent properties must be absent from each source alone and compatible with target constraints.
Failure and counterexamples
Reject mere juxtaposition, unsupported emergence claims, and blends with unresolved relation conflicts.
Provenance map
creative-ideation/combinatorial-creativity,conceptual-blending,emergent-property-hunting: resolved/concept per exact v3 lookup.- Status:
creative-ideation/combinatorial-creativity,emergent-property-huntingresolved;conceptual-blendingconcept (no exact v3 node).
Preserved source criteria ledger
- Preserve generic-space construction, selective projection, and emergent-property semantics.
Context checkpoint / Delta notes
Append source-space changes, projected relations, emergence claims, compatibility findings, and selected ideas.
Signals
- GitHub stars
- 501
- Forks
- 41
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Key
conceptual-blending- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine