Como usar
- Copie o comando e verifique o pacote antes de instalar no seu ambiente de agente.
- Consulte no original as ferramentas, credenciais e ambientes necessários.
- Descreva os dados de entrada e a entrega esperada; confira a saída com as fontes.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill generate-competing-hypothesesAntes de começar
- A instalação não inclui assinatura de modelo, franquia API ou acesso aos seus arquivos.
- Estrelas e instalações indicam atividade, não um teste independente de qualidade ou segurança.
Documento original do Skill
Renderizado do repositório de origem, preservando títulos, exemplos, código, tabelas, links e imagens.
generate-competing-hypotheses
Purpose
Generate distinct, testable hypotheses that explain a target observation or research problem.
Input contract
yaml
required: [problem_statement, observations, scope_constraints]
optional: [existing_theories, analogies, anomaly_records]
constraints: [each hypothesis must imply a differentiating prediction or assumption]Procedure
- Extract the target phenomenon and unresolved explanatory gap.
- Generate mechanismally distinct explanations, including a null or status-quo hypothesis.
- Translate each explanation into predictions, assumptions, and disconfirming observations.
- Deduplicate equivalent explanations and retain the comparison set.
If competing hypotheses have explicit predictions and evidence links, consider score-object as the next tactic.
Output contract
yaml
produces: [hypothesis_set, mechanism_descriptions, prediction_set, assumption_register]
delta_fields: [hypothesis_updates, uncertainties, open_questions, recommended_jumps]Quality gates
- Hypotheses differ in mechanism or prediction, not wording only.
- A null or baseline explanation is considered where applicable.
Failure and counterexamples
Do not generate unfalsifiable narratives or discard inconvenient hypotheses before comparison.
Provenance map
resolved: generate-competing-hypotheses
