
update-avm-modules-in-bicep
Update Azure Verified Modules (AVM) to latest versions in Bicep files.
- Installs
- 8.6K
- Last 24h
- —
- Trending rank
- —
- Security
- Warn
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/github/awesome-copilot --skill update-avm-modules-in-bicep- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads update-avm-modules-in-bicep automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
Security audits
Independent scans of the skill's instructions and bundled files.
SKILL.md
The instructions your agent reads when the skill is triggered.
Update Azure Verified Modules in Bicep Files
Update Bicep file ${file} to use latest Azure Verified Module (AVM) versions. Limit progress updates to non-breaking changes. Don't output information other than the final output table and summary.
Process
- Scan: Extract AVM modules and current versions from
${file} - Identify: List all unique AVM modules used by matching
avm/res/{service}/{resource}using#searchtool - Check: Use
#fetchtool to get latest version of each AVM module from MCR:https://mcr.microsoft.com/v2/bicep/avm/res/{service}/{resource}/tags/list - Compare: Parse semantic versions to identify AVM modules needing update
- Review: For breaking changes, use
#fetchtool to get docs from:https://github.com/Azure/bicep-registry-modules/tree/main/avm/res/{service}/{resource} - Update: Apply version updates and parameter changes using
#editFilestool - Validate: Run
bicep lintandbicep buildusing#runCommandstool to ensure compliance. - Output: Summarize changes in a table format with summary of updates below.
Tool Usage
Always use tools #search, #searchResults,#fetch, #editFiles, #runCommands, #todos if available. Avoid writing code to perform tasks.
Breaking Change Policy
⚠️ PAUSE for approval if updates involve:
- Incompatible parameter changes
- Security/compliance modifications
- Behavioral changes
Output Format
Only display results in table with icons:
| Module | Current | Latest | Status | Action | Docs |
|--------|---------|--------|--------|--------|------|
| avm/res/compute/vm | 0.1.0 | 0.2.0 | 🔄 | Updated | [📖](link) |
| avm/res/storage/account | 0.3.0 | 0.3.0 | ✅ | Current | [📖](link) |
### Summary of Updates
Describe updates made, any manual reviews needed or issues encountered.
Icons
- 🔄 Updated
- ✅ Current
- ⚠️ Manual review required
- ❌ Failed
- 📖 Documentation
Requirements
- Use MCR tags API only for version discovery
- Parse JSON tags array and sort by semantic versioning
- Maintain Bicep file validity and linting compliance
FAQ
What does the update-avm-modules-in-bicep skill do?
Update Azure Verified Modules (AVM) to latest versions in Bicep files.
How do I install update-avm-modules-in-bicep?
Run npx skills add https://github.com/github/awesome-copilot --skill update-avm-modules-in-bicep in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/update-avm-modules-in-bicep/ (personal) or .claude/skills/update-avm-modules-in-bicep/ (project).
Which AI agents can use update-avm-modules-in-bicep?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is update-avm-modules-in-bicep safe to install?
Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk flagged items to review; Runlayer flagged items to review; ZeroLeaks passed. As with any skill, read the SKILL.md and bundled scripts before installing.
Who maintains update-avm-modules-in-bicep?
It is published by github in github/awesome-copilot, and it is an official skill from the maker of the technology it covers. It has 8,639 recorded installs.
More from github/awesome-copilot
git-commit
github/awesome-copilot
Use this skill when the user wants to make a Git commit or split changes into more than one commit. Also use it when the user types "/commit" or asks for a conventional commit. The skill examines the diff, stages the related files, writes a Conventional Commits message, and runs git commit. Do not use it when the user wants only a commit message and no commit. Do not use it to push, open a pull request, rebase, or change the commit history.
excalidraw-diagram-generator
github/awesome-copilot
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
multi-stage-dockerfile
github/awesome-copilot
Create optimized multi-stage Dockerfiles for any language or framework
documentation-writer
github/awesome-copilot
Diátaxis Documentation Expert. An expert technical writer specializing in creating high-quality software documentation, guided by the principles and structure of the Diátaxis technical documentation authoring framework.
prd
github/awesome-copilot
Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.
refactor
github/awesome-copilot
Surgical code refactoring to improve maintainability without changing behavior. Covers extracting functions, renaming variables, breaking down god functions, improving type safety, eliminating code smells, and applying design patterns. Less drastic than repo-rebuilder; use for gradual improvements.
Popular devops & cloud skills
microsoft-foundry
microsoft/azure-skills
Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure
azure-diagnostics
microsoft/azure-skills
Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.
azure-prepare
microsoft/azure-skills
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.
azure-ai
microsoft/azure-skills
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.
azure-deploy
microsoft/azure-skills
Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.
azure-validate
microsoft/azure-skills
Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.