prompt-refactor

作者: microsoft

根据明确需求,通过完整的提示构建循环重构现有的提示工件。

npx skills add https://github.com/microsoft/hve-core --skill prompt-refactor

Prompt Refactor Compatibility Skill

Goal

Preserve legacy prompt-refactor activation while simplifying approved prompt-engineering artifacts through the hve-builder refactor route and its independent quality gates.

Flow

  1. Translate promptFiles to existing targets and resolve the behavior that must remain unchanged.
  2. When requirements are omitted, use the HVE Builder baseline review to derive evidence-backed cleanup objectives.
  3. Activate hve-builder with mode=refactor, the approved write boundary, requirements, and any caller-owned evidence root.
  4. Return the HVE Builder review verdict, validation result, and overall outcome.

Inputs

  • promptFiles: existing prompt-engineering artifacts to refactor
  • requirements: optional cleanup objectives, constraints, and preserved behavior
  • evidenceRoot: optional caller-owned HVE Builder evidence path

Success Criteria

  • The approved targets are simpler without unintended behavior change.
  • The review pass and host validation pass.
  • Source changes stay inside the approved write boundary.
  • The returned overall outcome is unchanged from hve-builder.

Constraints

  • Do not dispatch retired named lifecycle workers.
  • Do not create a second orchestration loop or review contract.
  • Route a requested type change, artifact split, or new support artifact back through HVE Builder scope approval.

Stop Rules

  • Stop Pass only when the HVE Builder refactor route passes every required gate.
  • Preserve Revise, Deferred, or Blocked and its rerun condition.
  • Ask when preserved behavior or write scope cannot be inferred safely.

Handoff

Use prompt-analyze for read-only follow-up review and prompt-builder when the requested work intentionally changes behavior or creates artifacts.

Final Response Contract

Return targets, changed files, refactor rationale, review verdict, validation result, overall outcome, evidence links, and next action.

来自 microsoft 的更多技能

oss-growth
microsoft
OSS增长黑客角色
agent-framework-azure-ai-py
microsoft
使用Microsoft Agent Framework Python SDK(agent-framework-azure-ai)构建Azure AI Foundry代理。在创建使用AzureAIAgentsProvider的持久化代理、使用托管工具(代码解释器、文件搜索、网络搜索)、集成MCP服务器、管理对话线程或实现流式响应时使用。涵盖函数工具、结构化输出和多工具代理。
development
airunway-aks-setup
microsoft
在AKS上设置AI Runway——从裸集群到运行模型。涵盖集群验证、控制器安装、GPU评估、提供商设置和首次部署。适用场景:“设置AI Runway”、“接入AKS集群”、“安装AI Runway”、“airunway设置”、“将模型部署到AKS”、“在AKS上进行GPU推理”、“在AKS上配置KAITO”、“在AKS上运行LLM”、“在AKS上使用vLLM”、“在AKS上设置模型服务”、“AI Runway控制器”。
devops
appinsights-instrumentation
microsoft
使用Azure Application Insights对Web应用进行插桩的指南。提供遥测模式、SDK设置和配置参考。适用场景:如何对应用进行插桩、App Insights SDK、遥测模式、什么是App Insights、Application Insights指南、插桩示例、APM最佳实践。
devops
applicationinsights-web-ts
microsoft
使用Application Insights JavaScript SDK(@microsoft/applicationinsights-web)为浏览器/Web应用添加检测。用于真实用户监控(RUM)——页面视图、点击、AJAX/fetch依赖项、异常、自定义事件,以及与后端OpenTelemetry追踪关联的浏览器端GenAI代理追踪。涵盖SDK加载器脚本和npm设置、框架扩展(React、React Native、Angular)、点击分析、遥测初始化器,以及从浏览器发出的代理/工具/模型跨度所遵循的OTel GenAI语义约定。
devops
azure-ai-anomalydetector-java
microsoft
使用适用于 Java 的 Azure AI 异常检测器 SDK 构建异常检测应用程序。在实现单变量/多变量异常检测、时间序列分析或 AI 驱动的监控时使用。
development
azure-ai-language-conversations-py
microsoft
使用azure-ai-language-conversations Python SDK实现对话语言理解(CLU)。当使用ConversationAnalysisClient分析对话意图和实体、构建NLP功能或将语言理解集成到应用程序中时使用。
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python。用于机器学习工作区、作业、模型、数据集、计算资源和管道。 触发词:“azure-ai-ml”、“MLClient”、“工作区”、“模型注册表”、“训练作业”、“数据集”。
development