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Automation
Skill

/construct-input-spaces

Define the structured input spaces for conceptual blending: entities, relations, goals, constraints, and salient dynamics in each source.

From plugin
de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill construct-input-spaces --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/construct-input-spaces

Context preview

The summary Claude sees to decide when to auto-load this skill.

Define the structured input spaces for conceptual blending: entities, relations, goals, constraints, and salient dynamics in each source.

SKILL.md

construct-input-spaces.SKILL.md
name: construct-input-spaces
description: "Define the structured input spaces for conceptual blending: entities, relations, goals, constraints, and salient dynamics in each source."

construct-input-spaces

Purpose

Define the explicit source spaces used by conceptual blending.

Input contract

required: [source_domains, blend_goal]
optional: [entities, relations, constraints, salient_dynamics]
constraints: [each source needs entities, relations, goals, and constraints or an explicit unknown]

Procedure

1. Partition each source domain into entities, relations, goals, constraints, and dynamics. 2. Normalize equivalent roles without erasing source-specific structure. 3. Record the blend goal and the items eligible for projection.

If the input spaces and their correspondences are explicit, consider `extract-generic-space` as the next tactic.

Output contract

produces: [input_space_set, normalized_roles, projection_candidates]
delta_fields: [findings, hypothesis_updates, uncertainties]

Quality gates

  • Every input space is independently reconstructible and source-specific relations remain visible.

Failure and counterexamples

Reject an input space that is only a keyword list or that merges incompatible roles before blending.

Provenance map

  • `conceptual-blending/input-space-construction`: resolved.
Ships withde-anthropocentric-research-engine

The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.

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