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Skill

/design-study-inclusion

Define study inclusion/exclusion criteria and explicit rules for borderline cases.

From plugin
de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill design-study-inclusion --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/design-study-inclusion

Context preview

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

Define study inclusion/exclusion criteria and explicit rules for borderline cases.

SKILL.md

design-study-inclusion.SKILL.md
name: design-study-inclusion
description: "Define study inclusion/exclusion criteria and explicit rules for borderline cases."

design-study-inclusion

Purpose

Define study inclusion and exclusion criteria with explicit rules for borderline cases.

Input contract

required: [research_question, eligible_population, study_scope]
optional: [outcome_rules, design_rules, date_language_limits]
constraints: [criteria must be observable from source records]

Procedure

1. Translate the question into population, intervention/exposure, comparator, outcome, design, and context criteria. 2. Define exclusion reasons and precedence for overlapping rules. 3. Specify borderline-case adjudication and missing-information handling. 4. Test criteria against representative included, excluded, and ambiguous records.

If eligible designs, populations, interventions, and outcomes are fixed, consider `plan-effect-size` as the next tactic.

Output contract

produces: [inclusion_criteria, exclusion_reasons, borderline_rules, pilot_adjudications]
delta_fields: [decisions, assumption_updates, uncertainties, open_questions]

Quality gates

  • Criteria are applicable without knowing the study result.
  • Each exclusion has one primary reason.

Failure and counterexamples

Do not make inclusion depend on favorable findings or exclude a study solely because metadata are incomplete when the design remains eligible.

Provenance map

  • `resolved: inclusion-criteria-design`
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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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