abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Define study inclusion/exclusion criteria and explicit rules for borderline cases.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill design-study-inclusion --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill design-study-inclusion -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill design-study-inclusion -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill design-study-inclusion -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill design-study-inclusion -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill design-study-inclusion -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill design-study-inclusion -a windsurf -y
name: design-study-inclusion description: "Define study inclusion/exclusion criteria and explicit rules for borderline cases."
Define study inclusion and exclusion criteria with explicit rules for borderline cases.
required: [research_question, eligible_population, study_scope] optional: [outcome_rules, design_rules, date_language_limits] constraints: [criteria must be observable from source records]
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.
produces: [inclusion_criteria, exclusion_reasons, borderline_rules, pilot_adjudications] delta_fields: [decisions, assumption_updates, uncertainties, open_questions]
Do not make inclusion depend on favorable findings or exclude a study solely because metadata are incomplete when the design remains eligible.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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