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thistleknotthistleknot/skills/causal-inference/SKILL.md

causal-inference

Skill0 starsChanged 6 months agoNo licenceView on GitHub

Hybrid causal reasoning protocol: LLM proposes the causal graph structure, symbolic libraries (DoWhy, causal-learn) execute identification and estimation, LLM interprets results in context. Use for counterfactual queries ("what would happen if X were different?"), treatment effect estimation, and root-cause analysis where correlation is insufficient. Distinct from reasoning (which is deductive/inductive, not causal) and deep-research (which gathers web evidence, not causal estimates).

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3 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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