abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Generate testable hypotheses from theory, empirical regularity, anomaly, or explicit explanatory competition. Deductive, inductive, abductive, and competing-hypothesis generation are modes; discriminating predictions and comparison are activated in competing mode.
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill formulate-hypotheses --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/formulate-hypothesesContext preview
The summary Claude sees to decide when to auto-load this skill.
Generate testable hypotheses from theory, empirical regularity, anomaly, or explicit explanatory competition. Deductive, inductive, abductive, and competing-hypothesis generation are modes; discriminating predictions and comparison are activated in competing mode.
name: formulate-hypotheses description: "Generate testable hypotheses from theory, empirical regularity, anomaly, or explicit explanatory competition. Deductive, inductive, abductive, and competing-hypothesis generation are modes; discriminating predictions and comparison are activated in competing mode."
Generate and refine testable hypotheses from a gap, theory, induction, anomaly, or competing explanations.
Use when a research gap or insight can be stated. Select `deductive`, `inductive`, `abductive`, or `competing-hypotheses`; operationalization may follow any generation mode.
mode_contracts:
deductive: &hypothesis_input
required: [research_gap_or_observation]
optional: [theory, anomaly, candidate_explanations, variables, prior_evidence]
constraints: [at_least_one_observable_consequence]
inductive: *hypothesis_input
abductive: *hypothesis_input
competing-hypotheses: *hypothesis_inputDo not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.
1. State the gap or observation and select the declared mode. 2. Generate candidate hypotheses without premature filtering using the mode-specific operations below. 3. You MUST load skill `identify-variables` to operationalize the variables. You MUST load skill `specify-relationship` to state their relationships, scope, and boundary conditions. 4. You MUST load skill `score-object` to score each hypothesis against the declared evidence and rubric. If the resulting hypotheses need a focused falsifiability review, consider `falsifiability-audit`. If the strongest claim is ready for a decisive truth-seeking program, `falsification-first-audit` may be the better next tactic.
mode_contracts:
deductive: &single_hypothesis_output
produces: [hypothesis_set, operational_definitions, predictions, falsification_conditions]
delta_fields: [hypothesis_updates, findings, uncertainties, decisions, open_questions]
inductive: *single_hypothesis_output
abductive: *single_hypothesis_output
competing-hypotheses:
produces: [hypothesis_set, operational_definitions, predictions, falsification_conditions, comparison_matrix]
delta_fields: [hypothesis_updates, findings, uncertainties, decisions, open_questions]Reject unfalsifiable wording, variables without operational definitions, and "competing" hypotheses with no observable divergence. Deductive mode is not applicable when no usable theory exists; abductive mode is not applicable without a clear anomaly.
`hypothesis-formulation`, `deductive-hypothesis-generation`, `inductive-hypothesis-generation`, `abductive-hypothesis-generation`, `hypothesis-operationalization`, `theory-mechanism-extraction`, `anomaly-driven-abduction`, `competing-hypothesis-construction`, `competing-hypothesis-matrix`; source thresholds retained.
Append candidate list, selected hypotheses, operational definitions, predictions, falsification tests, and unresolved theory conflicts.
| source | source line | kind | source criterion | |---|---:|---|---| | hypothesis-formulation | 41 | textual | ## HARD-GATE | | hypothesis-formulation | 43 | textual | <HARD-GATE> | | hypothesis-formulation | 44 | textual | Preconditions (all must hold before starting): | | hypothesis-formulation | 45 | numeric | 1. A
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.