System Prompts Python Packages

heart-centered-prompts

Heart-centered system prompts for AI that foster compassion and interconnection. Multiple versions available with easy integration for Claude, ChatGPT, and Python applications.

lintlang

lintlang is a static linter for AI agent configs, tool descriptions, and system prompts that runs zero-LLM quality gating in CI. Catches language-level failures (vague tool descriptions, missing stop conditions, schema gaps) before they reach runtime, with deterministic regex + structural detectors and no model calls.

text-structura

A new package that takes user-provided text input and returns structured, validated output using pattern matching to ensure consistent formatting. It processes text extracted from various sources like

rule-audit

Detect logical contradictions, gaps, and exploitable edge cases in AI system prompts

techchallenge-summarizer

A new package that processes user-provided text input to generate structured summaries of technical challenges, such as the difficulty of implementing resumable LLM streaming. It uses a system prompt