yogsoth-ai/de-anthropocentric-research-engine

formulate-research-question

Convert a hypothesis into a precise research question with fit-for-purpose framework, scope, feasibility, and success criteria.

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill formulate-research-question

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

formulate-research-question

Purpose

Convert a hypothesis into a precise research question with fit-for-purpose framework, scope, feasibility, and success criteria.

Input contract

yaml
required: [hypothesis_or_gap, candidate_frameworks, feasibility_constraints]
optional: [assumptions, prior_findings, evidence_updates]
constraints: [consume named scientific objects; preserve provenance; keep unresolved uncertainty visible]

Execution protocol

Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.

  1. You MUST load skill apply-question-framework to construct the question under the selected framework.
  2. You MUST load skill assess-question-quality to assess answerability, significance, and precision.
  3. You MUST load skill define-criteria to define the question-quality criteria.
  4. You MUST load skill set-threshold to set the acceptance thresholds.
  5. You MUST load skill adjust-abstraction-scope to correct the abstraction level and scope.

If the accepted question contains dependent subproblems, consider decompose-research-question as the next tactic.

Deviation: reorder only when a dependency is already satisfied or unavailable; record the reason and confidence effect.

Output contract

yaml
produces: [research_question, success_criteria, scope_decision]
delta_fields: [decisions, open_questions]

Thresholds and quality gates

  • Each output is traceable to an input object, operation, and evidence reference.
  • Scope, assumptions, and unresolved alternatives remain explicit.
  • Retain $\alpha$ 0.05 and power 0.8 wherever the predeclared statistical design requires them.

Failure and counterexamples

Stop synthesis when a required object is absent, a precondition is violated, or a counterexample invalidates the proposed conclusion; return the partial delta with the failure recorded.

Provenance map

  • resolved: research-question
  • resolved: framework-guided-formulation
  • resolved: scope-calibration
  • resolved: comparative-formulation
  • resolved: feasibility-constrained-formulation
  • resolved: framework-selection-and-application
  • resolved: question-refinement-loop

Preserved source criteria ledger

sourcecriteriontreatment
resolved v3 entries abovenode-specific criteriaretained and specialized to the v4 object contract
experiment-execution/statistical-testing$\alpha$ = 0.05fixed value retained where applicable
experiment-execution/sample-size-estimationpower = 0.8fixed value retained where applicable

Context checkpoint / Delta notes

Return the node-specific research-state delta and preserve findings, evidence updates, uncertainties, decisions, open questions, and recommended jumps as applicable.

Verwandte Aufgaben

aus demselben Repository

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