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Skill

/extract-empirical-regularity

Extract a repeatable empirical pattern from observations, state its support and exceptions, and generalize cautiously without importing an unsupported mechanism.

From plugin
de-anthropocentric-research-engine
507200 skills

Claude Code

$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill extract-empirical-regularity --agent claude-code

SKILL.md

extract-empirical-regularity.SKILL.md
name: extract-empirical-regularity
description: "Extract a repeatable empirical pattern from observations, state its support and exceptions, and generalize cautiously without importing an unsupported mechanism."

extract-empirical-regularity

Purpose

Extract a repeatable empirical pattern from records while preserving conditions, exceptions, and uncertainty.

Input contract

required: [observations, variable_schema, condition_schema]
optional: [replication_records, measurement_uncertainty]
constraints: [regularity claims require multiple comparable observations or an explicit single-case limitation]

Procedure

1. Normalize observations, units, and conditions. 2. Identify repeated associations, trends, or invariants. 3. Test exceptions, alternative explanations, and measurement artifacts. 4. State the regularity with scope and uncertainty boundaries.

If the regularity is stable enough to express through measurable factors and outcomes, consider `identify-variables` as the next tactic.

Output contract

produces: [regularity_statement, supporting_records, exception_set, scope_conditions]
delta_fields: [findings, evidence_updates, uncertainties, open_questions]

Quality gates

  • Conditions and exceptions accompany every regularity.
  • Correlation is not labeled mechanism without supporting evidence.

Failure and counterexamples

Do not generalize a pattern across changed populations or protocols without a comparability check.

Provenance map

  • `resolved: extract-empirical-regularity`
Read more
@yogsoth-ai
Ships withde-anthropocentric-research-engine

A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.

Stars on GitHub

Momentum

stars in total
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Star history of yogsoth-ai/de-anthropocentric-research-engine on GitHub, a chart by star-history.com

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Questions about extract-empirical-regularity.

Which coding agents can use extract-empirical-regularity?
extract-empirical-regularity installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.