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constitutional-ai

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Train safer, more steerable AI by having the model critique and revise itself against an explicit written constitution.

skills/constitutional-ai/SKILL.md

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## Overview

Constitutional AI (CAI) is a training methodology in which a model's behavior is
shaped by an explicit, written constitution — a set of principles covering honesty,
harmlessness, autonomy-preservation, and other values — rather than by thousands of
example human judgments. The model itself generates candidate responses, critiques
them against the constitution, and revises them. These self-revisions become
training data, so the system internalizes the principles rather than merely
imitating labeled examples.

The pipeline has two stages. First, supervised learning: the model critiques and
revises its own outputs across a broad distribution of prompts, and the best
revisions are used as supervised fine-tuning data. Second, reinforcement learning
from AI feedback (RLAIF): the model compares pairs of its own responses against
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