dare-research-engine
Use the DARE research engine to crystallize research goals, write executable research specs, and execute staged research workflows.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use the DARE research engine to crystallize research goals, write executable research specs, and execute staged research workflows.
Strategy: decompose a complex research question into a hierarchy of independently answerable sub-questions
Strategy: deduce hypotheses from existing theory
Deep Insight Engine with 5 campaigns (gap-analysis, insight, boundary-analysis, sensitivity-analysis, problem-reformulation). Use this skill whenever a user needs to deeply analyze research gaps, understand root causes, probe method boundaries, assess assumption sensitivity, or reformulate research problems. Pre-condition: north-star-crystallization complete + knowledge-acquisition campaign has produced initial findings.
Systematically identify all assumptions in a method/model — structural, parametric, distributional, and scope assumptions.
Systematically extract all assumptions (stated, implicit, boundary, mathematical, practical) from a method or model.
One-at-a-time assumption perturbation — extract assumptions, define negations, re-derive conclusions under each negation, measure sensitivity. Identifies which assumptions are load-bearing.
Systematically extract implicit assumptions from methods, frameworks, or arguments. Identifies what is taken for granted without explicit justification.
Double-loop learning escalation — surface governing variables, generate counter-assumptions, test if problem dissolves under alternatives, score wickedness if it persists.
Identify research gaps via PICOS frameworks, concept matrices, evidence gap maps, keyword extraction, citation analysis, and topic modeling. Systematic discovery of what is missing in the literature.