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prompt-governance

github · 下载量 2.6万 · 热度分 49.0

出处与授权

作者： alirezarezvani
许可证： MIT 许可证 （原文）
版权声明： Copyright (c) 2025 Alireza Rezvani

本站只收录项目元数据与简介，不对作者正文做转载；完整内容请到上方出处查看。商用前请自行核对原仓库的 LICENSE 与 NOTICE。

展开许可证全文 
MIT License

Copyright (c) 2025 Alireza Rezvani

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

LICENSE · 2026-09-26 23:14:32

产品介绍

"Use when managing prompts in production at scale: versioning prompts, running A/B tests on prompts, building prompt registries, preventing prompt regressions, or creating eval pipelines for production AI features. Triggers: 'manage prompts in production', 'prompt versioning', 'prompt regression', 'prompt A/B test', 'prompt registry', 'eval pipeline'. NOT for writing or improving individual prompts (use senior-prompt-engineer). NOT for RAG pipeline design (use rag-architect). NOT for LLM cost reduction (use llm-cost-optimizer)."

资源信息

作者：alirezarezvani
分类：知识库 RAG 私有问答
语言：en
认证方式： 无需认证
许可证：MIT
是否付费： 官方标注免费
发布方：alirezarezvani

许可证信息摘自官方源，可能过时或缺失。商用前请以原仓库的 LICENSE 文件为准。

标签
知识库 RAG / prompt-governance

功能说明

  • Before Starting
  • 1. Current State
  • 2. Goals
  • 3. AI Stack
  • How This Skill Works
  • Mode 1: Build Prompt Registry
  • Mode 2: Build Eval Pipeline
  • Mode 3: Governed Iteration
适用场景
How many distinct prompts are in production?What is the primary pain? (versioning chaos, no evals, blind A/B testing, slow iTooling constraints? (open-source only, existing CI/CD, cloud provider?)LLM provider(s) in use?Frameworks in use? (LangChain, LlamaIndex, custom, direct API?)Existing test/CI infrastructure?

适用平台

Claude Code
查看官方源 → 查看文档

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