precision-prompt-chaining

Name: precision-prompt-chaining
Rating: 5 (2 reviews)
Author: Sandeeprdy1729

This multi-step prompt chaining skill uses the output of each step as the input for the next, with explicit rules and constraints. It activates for complex pipelines of dependent Claude calls, ensuring downstream steps are constrained by upstream outputs to prevent hallucination or drift.

2stars

Updated 17 days ago

View on GitHub ↗License: Apache-2.0

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Precision Prompt Chaining

Most "multi-step" prompting is just a list of instructions in one message. That's not chaining. Real chaining is architecture: named outputs that become typed inputs, explicit contracts between steps, validation gates that catch drift before it propagates, and recovery logic for when a step produces garbage.

The failure mode is context pollution — by step 4, the model has forgotten the constraints from step 1 and is happily hallucinating. This skill prevents that by

[Description truncada. Veja o README completo no GitHub.]

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