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/evaluate-compatibility

Evaluate logical/empirical/normative compatibility of a candidate combination and prune invalid regions.

From plugin
de-anthropocentric-research-engine
507200 skills

Claude Code

$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill evaluate-compatibility --agent claude-code

SKILL.md

evaluate-compatibility.SKILL.md
name: evaluate-compatibility
description: "Evaluate logical/empirical/normative compatibility of a candidate combination and prune invalid regions."

evaluate-compatibility

Purpose

Evaluate logical, empirical, and normative compatibility of a candidate combination and prune invalid regions.

Input contract

required: [candidate_combination, component_schema, compatibility_rules, evidence]
optional: [matrix, consistency_judgments, feasibility_criteria, novelty_criteria]
constraints: [each incompatibility is tied to an explicit rule or evidence item; preserve distinct logical, empirical, and normative judgments]

Procedure

1. Normalize the combination and component schemas. 2. Apply each compatibility rule pairwise and at the full-combination level. 3. Record conflicts, supporting evidence, and unresolved judgments. 4. Prune only combinations that violate an explicit rule; retain near-boundary cases with rationale. 5. Return surviving combinations and a compatibility report.

Output contract

produces: [surviving_combinations, incompatibility_register, compatibility_judgments, pruning_rationale]
delta_fields: [findings, evidence_updates, decisions, uncertainties]

Quality gates

  • Every removed combination has an explicit incompatible pair or rule.
  • CCA-style reduction covers the supplied matrix and consistency judgments; feasibility and novelty are reported separately when requested.
  • No hidden veto or unstated preference is introduced during pruning.

Parameterization

The caller must provide component/object schemas, the combination representation, compatibility dimensions and rules, evidence for each judgment, and whether the decision is logical, empirical, normative, or mixed. If CCA is used, provide the full matrix and pairwise consistency judgments.

Failure and counterexamples

Reject when compatibility rules are absent, evidence is untraceable, or a normative preference is presented as a logical contradiction. Do not remove a combination solely because it is unfamiliar.

Provenance map

  • concept: creative-ideation/consistency-pair-evaluation
  • resolved: creative-ideation/solution-space-reduction
  • resolved: creative-ideation/combination-evaluation

Preserved source criteria ledger

| source | physical line | kind | source criterion | |---|---:|---|---| | creative-ideation/solution-space-reduction | 11 | gate | Apply CCA to remove inconsistent combinations from the supplied matrix using consistency judgments. | | creative-ideation/combination-evaluation | 11 | gate | Evaluate proposed combinations for feasibility, novelty, and implementation difficulty. |

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@yogsoth-ai
Ships withde-anthropocentric-research-engine

A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.

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Questions about evaluate-compatibility.

Which coding agents can use evaluate-compatibility?
evaluate-compatibility installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.