abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Instantiate a typed evidence question schema such as PICO/PECO for quantitative synthesis.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill formulate-meta-analysis-scope --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/formulate-meta-analysis-scopeContext preview
The summary Claude sees to decide when to auto-load this skill.
Instantiate a typed evidence question schema such as PICO/PECO for quantitative synthesis.
name: formulate-meta-analysis-scope description: "Instantiate a typed evidence question schema such as PICO/PECO for quantitative synthesis."
Instantiate a typed PICO/PECO-style evidence question for quantitative synthesis.
required: [research_problem, population_or_exposure, comparator, outcome] optional: [time_horizon, study_design, effect_measure] constraints: [estimand, comparator, and outcome units must be explicit]
1. Specify population, intervention or exposure, comparator, outcome, and time horizon. 2. Define eligible designs and the estimand for quantitative synthesis. 3. Record effect-measure compatibility and planned conversions. 4. Mark scope boundaries and unresolved heterogeneity.
If the synthesis question and comparison scope are fixed, consider `design-study-inclusion` as the next tactic.
produces: [typed_meta_analysis_question, eligibility_scope, estimand, compatibility_constraints] delta_fields: [decisions, assumption_updates, uncertainties, open_questions]
Do not broaden the scope until unlike outcomes appear comparable or define a meta-analysis from a vague topic alone.
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.
Repo: yogsoth-ai/de-anthropocentric-research-engine
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Evaluate competing arguments against stated criteria and produce a reasoned verdict with uncertainty.
Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context, outcome, timeframe, system…
Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner. Perspective, target, escalation depth,…
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.