yogsoth-ai/de-anthropocentric-research-engine

generate-competing-hypotheses

Generate mechanism-distinct explanations rather than superficial paraphrases.

View source

How to use

  1. Copy the installation command and review the source package before installing it in your own agent environment.
  2. Check the source document for required tools, credentials and supported hosts.
  3. Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill generate-competing-hypotheses

Before you start

  • Installation does not include a model subscription, API allowance or permission to access your files.
  • Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document

Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.

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

  1. Extract the target phenomenon and unresolved explanatory gap.
  2. Generate mechanismally distinct explanations, including a null or status-quo hypothesis.
  3. Translate each explanation into predictions, assumptions, and disconfirming observations.
  4. 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

Related by task

from this repository

More skills

All skills