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Automation
Skill

/classify-research-gap

Classify a candidate research gap by type (evidence, method, mechanism, population, theory, measurement, contradiction, boundary, translation, etc.) and record implications for next actions.

From plugin
de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-research-gap --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/classify-research-gap

Context preview

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

Classify a candidate research gap by type (evidence, method, mechanism, population, theory, measurement, contradiction, boundary, translation, etc.) and record implications for next actions.

SKILL.md

classify-research-gap.SKILL.md
name: classify-research-gap
description: "Classify a candidate research gap by type (evidence, method, mechanism, population, theory, measurement, contradiction, boundary, translation, etc.) and record implications for next actions."

classify-research-gap

Purpose

Classify a candidate research gap by type and record implications for the next research action.

Input contract

required: [gap_statement, supporting_evidence]
optional: [domain_scope, candidate_gap_types]
constraints: [gap type must be supported by evidence and distinguished from absence of search]

Procedure

1. Compare the gap claim with the declared evidence and scope. 2. Test evidence, method, mechanism, population, theory, measurement, contradiction, boundary, and translation categories. 3. Assign one or more justified types and map each to a next action.

Output contract

produces: [typed_gap, classification_rationale, action_implications]
delta_fields: [findings, evidence_updates, uncertainties, decisions, recommended_jumps]

Quality gates

  • Classification names the evidence boundary and does not treat unsearched space as a confirmed gap.

Failure and counterexamples

Return `unsubstantiated_gap` when the claimed absence is caused by inadequate retrieval or incompatible scope.

Provenance map

  • `deep-insight/gap-classification`: 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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