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.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill formulate-meta-analysis-scope --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill formulate-meta-analysis-scope -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill formulate-meta-analysis-scope -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill formulate-meta-analysis-scope -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill formulate-meta-analysis-scope -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill formulate-meta-analysis-scope -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill formulate-meta-analysis-scope -a windsurf -y
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.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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