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Automation
Skill

/normalize-gap

Normalize heterogeneous gap records into a comparable schema before decision operations.

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

Context preview

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

Normalize heterogeneous gap records into a comparable schema before decision operations.

SKILL.md

normalize-gap.SKILL.md
name: normalize-gap
description: "Normalize heterogeneous gap records into a comparable schema before decision operations."

normalize-gap

Purpose

Normalize heterogeneous research-gap records into a comparable schema before prioritization or decision operations.

Input contract

required: [gap_records, gap_schema]
optional: [evidence_records, domain_taxonomy, coding_rules]
constraints: [normalization preserves source wording, uncertainty, and gap type]

Procedure

1. Map each record to problem, evidence, population, mechanism, and consequence fields. 2. Normalize terminology, units, and scope without erasing source distinctions. 3. Mark unknown, conflicting, and inferred fields. 4. Emit comparable gap records with traceability to originals.

Output contract

produces: [normalized_gap_records, field_mapping, conflict_log, traceability_map]
delta_fields: [findings, evidence_updates, uncertainties, open_questions]

Quality gates

  • Every normalized field traces to source text or is marked inferred.
  • Conflicting gap definitions remain visible.

Failure and counterexamples

Do not collapse different gaps because they share a label or convert missing evidence into a low-priority score.

Provenance map

  • `resolved: normalize-gap`
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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Python
Language
Apache-2.0
License
15h ago
Last commit
7mo ago
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Repo: yogsoth-ai/de-anthropocentric-research-engine