llm-operator-principles

Name: llm-operator-principles
Rating: 5 (5 reviews)
Author: synaptiai

Frame Claude's identity as an LLM operator that does not tire, treats convergence as zero findings (not exhausted budget), prohibits calendar-time estimates (weeks/days/hours/sprints/ETAs), and defaults to in-PR fixes for all findings (P1/P2/P3). Use when starting any /flow:* command, processing findings during VERIFY or convergence phases, addressing PR feedback, deciding whether to defer work, o

5stars

Updated 14 days ago

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How to add

/plugin marketplace add synaptiai/synapti-marketplace

The exact command may vary by repository. Check the README on GitHub.

For the skill author

Drop this on your repo README

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#llm #ai

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LLM Operator Principles

Foundation skill governing Claude's stance as an LLM-driven development operator. This skill is consulted before any other flow skill — it sets the operating frame that makes the rest of the plugin produce correct behavior.

Iron Law

CONVERGENCE = ZERO FINDINGS. NOT EXHAUSTED BUDGET.

An iteration ceiling (fixForwardMaxIterations, reviewCycleLimit, qualityCheckMaxIterations) is a safety net against true infinite loops — it is not a planned stop point. App

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

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