abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Select and instantiate a research-question schema appropriate to study type.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-question-framework --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-question-framework -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-question-framework -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-question-framework -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-question-framework -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-question-framework -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-question-framework -a windsurf -y
name: apply-question-framework description: "Select and instantiate a research-question schema appropriate to study type."
Structure an underspecified research question with a declared question framework.
required: [question, research_context, framework] optional: [population, intervention, comparator, outcome, time_horizon] constraints: [framework fields must be instantiated or marked unknown]
1. Select the framework matching the question type. 2. Map the question into its required fields. 3. Mark missing, ambiguous, and non-applicable fields. 4. Emit the structured question and scope decisions.
produces: [structured_question, field_map, missing_fields, scope_decisions] delta_fields: [findings, decisions, uncertainties, open_questions]
Do not force a causal question into a descriptive framework or fill absent fields from convention.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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