fast-pull-request

Generar una descripción de pull request para el repositorio FAST usando la plantilla proporcionada.

npx skills add https://github.com/microsoft/fast --skill fast-pull-request

This skill only applies to generating Pull Request descriptions for the FAST repository.

Do not create or modify any existing Github pull requests. This skill is only for generating the markdown content for a pull request description based on the provided template.

Based on the conversation context, generate a pull request description as a markdown code block using the template located at ../../pull_request_template.md.

Use the Pull Request Template to generate a markdown code block for the most relevant work on this git branch, compared to main.

The Description should be either a summary description of the content of the branch, or a list of the most relevant changes made in the branch. The goal is to address the purpose of the pull request in a concise manner, rather than detailing every change. "Why" and "what" over "how".

Determine if any current github issues are being addressed by this work, and list them in the Issues section with links. If none are found, remove the Issues section.

The reviewer notes section is optional. Include it only if there are specific areas where you would like feedback or attention from the reviewer.

The Test Plan section should outline any issues that need to be verified before merging, or steps to reproduce the behavior locally. Even a brief note is helpful, such as "All existing tests pass".

The checklist section should be completed to indicate the status of various aspects of the pull request.

If there are change files that have been added to the PR, check the box labeled "I have included a change request file using $ npm run change".

If any new tests have been added, check the box labeled "I have added tests for my changes."

Check the terminal output for evidence of passing tests, and check the box labeled "I have tested my changes." if tests have been run and are passing. If not, leave the box unchecked.

If any doc blocks have been added or modified, or if any documentation files have been added or modified, check the box labeled "I have updated the project documentation to reflect my changes." This also applies to any changes made to api-report files.

The final checkbox must be checked by the pull request author. It should never be checked when generating this PR description.

The Next Steps section is optional. Include it only if there are specific follow-up tasks or work items that should be addressed after merging this PR, such as updating documentation, adding new tests, or performing code cleanup. If any existing issues are being addressed by the next steps, reference them here.

Provide the markdown code block only, without any additional commentary or explanation.

Any comments in the template can be removed since they're only meant to provide guidance on how to fill out the template, and are not intended to be part of the final PR description.

Más skills de microsoft

oss-growth
microsoft
Persona de growth hacker de OSS
agent-framework-azure-ai-py
microsoft
Crea agentes de Azure AI Foundry usando el SDK de Python de Microsoft Agent Framework (agent-framework-azure-ai). Úsalo al crear agentes persistentes con AzureAIAgentsProvider, usando herramientas alojadas (intérprete de código, búsqueda de archivos, búsqueda web), integrando servidores MCP, gestionando hilos de conversación o implementando respuestas en streaming. Cubre herramientas de función, salidas estructuradas y agentes con múltiples herramientas.
development
airunway-aks-setup
microsoft
Configura AI Runway en AKS: desde un clúster vacío hasta un modelo en ejecución. Incluye verificación del clúster, instalación del controlador, evaluación de GPU, configuración del proveedor y primer despliegue. CUÁNDO: "configurar AI Runway", "incorporar clúster AKS", "instalar AI Runway", "configuración de airunway", "desplegar modelo en AKS", "inferencia GPU en AKS", "configuración de KAITO en AKS", "ejecutar LLM en AKS", "vLLM en AKS", "configurar servicio de modelos en AKS", "controlador de AI Runway".
devops
appinsights-instrumentation
microsoft
Guía para instrumentar aplicaciones web con Azure Application Insights. Proporciona patrones de telemetría, configuración del SDK y referencias de configuración. CUÁNDO: cómo instrumentar una aplicación, SDK de App Insights, patrones de telemetría, qué es App Insights, guía de Application Insights, ejemplos de instrumentación, mejores prácticas de APM.
devops
applicationinsights-web-ts
microsoft
Instrumenta aplicaciones web/navegador con el SDK de JavaScript de Application Insights (@microsoft/applicationinsights-web). Úsalo para monitoreo de usuarios reales (RUM): vistas de página, clics, dependencias AJAX/fetch, excepciones, eventos personalizados y trazas de agentes GenAI del lado del navegador correlacionadas con trazas de OpenTelemetry del backend. Cubre el script de carga del SDK y la configuración npm, extensiones de frameworks (React, React Native, Angular), Click Analytics, inicializadores de telemetría y convenciones semánticas de GenAI de OTel para spans de agentes/herramientas/modelos emitidos desde el navegador.
devops
azure-ai-anomalydetector-java
microsoft
Cree aplicaciones de detección de anomalías con el SDK de Azure AI Anomaly Detector para Java. Úselo al implementar detección de anomalías univariadas/multivariadas, análisis de series temporales o monitoreo impulsado por IA.
development
azure-ai-language-conversations-py
microsoft
Implementa el reconocimiento del lenguaje conversacional (CLU) utilizando el SDK de Python azure-ai-language-conversations. Úsalo al trabajar con ConversationAnalysisClient para analizar la intención y las entidades de la conversación, crear funciones de NLP o integrar el reconocimiento del lenguaje en aplicaciones.
development
azure-ai-ml-py
microsoft
SDK v2 de Azure Machine Learning para Python. Úselo para áreas de trabajo de ML, trabajos, modelos, conjuntos de datos, cómputo y canalizaciones. Disparadores: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
development