azure-business-process-tracking

Name: azure-business-process-tracking
Author: microsoftdocs

github.com/microsoftdocsCloud & DevOps796166 installsUpdated 3d ago

About azure-business-process-tracking

A guidance skill for Azure Business Process Tracking, aimed at teams setting up automated delivery for solutions in this area. Its documented scope focuses on CI/CD pipeline deployment guidance.

Key features

01CI/CD pipeline setup guidance
02Build and test automation guidance
03Deployment process guidance

Use cases

01Planning an automated CI/CD pipeline
02Building and testing process-tracking solutions
03Automating solution deployments

MCP support

It can fetch documentation through the `mcp_microsoftdocs:microsoft_docs_fetch` tool when available; `fetch_webpage` is listed as a fallback.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-business-process-tracking

After installing, type/azure-business-process-trackingin Claude Code to confirm it loaded.

Details

From the project README

Azure Business Process Tracking Skill

This skill provides expert guidance for Azure Business Process Tracking. Covers deployment. It combines local quick-reference content with remote documentation fetching capabilities.

How to Use This Skill

IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., L35-L120), use read_file with the specified lines. For categories with file links (e.g., [security.md](security.md)), use read_file on the linked reference file

IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools are not available, suggest the user install it: Installation Guide

This skill requires network access to fetch documentation content:

Preferred: Use mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.
Fallback: Use fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.

Category Index

Category	Lines	Description
Deployment	L29-L32	Guidance on setting up automated CI/CD pipelines to build, test, and deploy Azure Business Process Tracking solutions using DevOps tools and best practices.

Deployment

Topic	URL
Automate CI/CD for Azure Business Process Tracking	https://learn.microsoft.com/en-us/azure/business-process-tracking/set-up-continuous-integration-deployment

Comments

Markdown supported

Details

Author: microsoftdocs
Repository: microsoftdocs/agent-skills
Category: Cloud & DevOps
Installs: 166
GitHub stars: 796

Report

More skills

All skills

lark-apps

open.feishu.cn

732.0k

Develop and host Miaoda (Spark/Miaoda) apps: app creation, local full-stack development, cloud generation and iteration, creative design (UI mockups / interactive prototypes / wireframes / landing pages / dashboards / slide decks / visual exploration), integration of AI-related capabilities, Feishu platform capabilities, or other external capabilities; log/Trace/monitoring metric/PV/UV queries; environment variable management; app collaborators and collaboration permissions; app roles and members; and automation triggers (scheduled / record changes / Webhook / Feishu approvals). Use when users want to develop or create a system, tool, platform, or app; develop locally or in the cloud, modify, deploy, publish, launch, or get a shareable link; create a page or website with HTML and deploy it to Miaoda; design, create a mockup, prototype, wireframe, PPT, deck, or visual exploration; or mention Miaoda/Spark/Miaoda apps (links like `/app/app_xxx` or `/page/<token>`, runtime domains like *.aiforce.cloud), app databases, app file storage, open API Keys, visibility, app collaborators/developer permissions, app roles/role members, production logs, API request volume, error volume, latency, traffic, environment variables, or setting up automation tasks, scheduled triggers, or approval-triggered automation for Miaoda apps. Not for regular cloud drive file uploads (lark-drive), Feishu document editing (lark-doc), or native slide creation (lark-slides).

azure-prepare

github.com/microsoft

571.7k

Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.

wizard

github.com/mattpocock

571.5k

Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.

azure-ai

github.com/microsoft

571.2k

Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.