AgentSkillsCN

statistics-ontology-authoring

使用数学语句节点模式,在data/statistics/nodes.json中编写并优化正式统计语句节点。在新增或修订定理、推论、定义、模型规范、假设、符号形式,或追溯来源时使用。

SKILL.md
--- frontmatter
name: statistics-ontology-authoring
description: Author and refine formal statistics statement nodes in data/statistics/nodes.json using the Mathematical Statement Node schema. Use when adding or revising theorems, corollaries, definitions, model specifications, assumptions, symbolic forms, or provenance.

Statistics Ontology Authoring

Maintain statistical statements as formal ontology nodes.

Required Workflow

  1. Open schema/equation-node.schema.json.
  2. Edit data/statistics/nodes.json under statement_nodes.
  3. Keep formal structure complete:
    • statement_class
    • epistemic_status
    • theory_context
    • formal_statement
    • structural_signature
    • symbol_lexicon
    • semantic_interpretation
    • inferential_links
  4. For derived statements, use statement_class: corollary and set inferential_links.entailed_by.
  5. Add a bibliographic provenance entry for new foundational statements.
  6. Run python scripts/validate_nodes.py.

Naming and Style

  • Use academically standard titles.
  • Use mathematically conventional notation in canonical forms.
  • Keep inferential claims explicit and minimal.