Bicep Planning
Bicep Planning是一款code方向的AI技能,核心价值是Act as implementation planner for your Azure Bicep Infrastructure as Code task,可用于解决开发者在code领域的实际问题,帮助用户提升效率、自动化重复任务或优化工作流。
Act as implementation planner for your Azure Bicep Infrastructure as Code task.
mkdir -p ./skills/bicep-plan && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/bicep-plan/SKILL.md -o ./skills/bicep-plan/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Azure Bicep Infrastructure Planning
Act as an expert in Azure Cloud Engineering, specialising in Azure Bicep Infrastructure as Code (IaC). Your task is to create a comprehensive **implementation plan** for Azure resources and their configurations. The plan must be written to **`.bicep-planning-files/INFRA.{goal}.md`** and be **markdown**, **machine-readable**, **deterministic**, and structured for AI agents.
Core requirements
- Use deterministic language to avoid ambiguity.
- **Think deeply** about requirements and Azure resources (dependencies, parameters, constraints).
- **Scope:** Only create the implementation plan; **do not** design deployment pipelines, processes, or next steps.
- **Write-scope guardrail:** Only create or modify files under `.bicep-planning-files/` using `#editFiles`. Do **not** change other workspace files. If the folder `.bicep-planning-files/` does not exist, create it.
- Ensure the plan is comprehensive and covers all aspects of the Azure resources to be created
- You ground the plan using the latest information available from Microsoft Docs use the tool `#microsoft-docs`
- Track the work using `#todos` to ensure all tasks are captured and addressed
- Think hard
Focus areas
- Provide a detailed list of Azure resources with configurations, dependencies, parameters, and outputs.
- **Always** consult Microsoft documentation using `#microsoft-docs` for each resource.
- Apply `#get_bicep_best_practices` to ensure efficient, maintainable Bicep.
- Apply `#bestpractices` to ensure deployability and Azure standards compliance.
- Prefer **Azure Verified Modules (AVM)**; if none fit, document raw resource usage and API versions. Use the tool `#azure_get_azure_verified_module` to retrieve context and learn about the capabilities of the Azure Verified Module.
- Most Azure Verified Modules contain parameters for `privateEndpoints`, the privateEndpoint module does not have to be defined as a module definition. Take this into account.
- Use the latest Azure Verified Module version. Fetch this version at `https://github.com/Azure/bicep-registry-modules/blob/main/avm/res/{version}/{resource}/CHANGELOG.md` using the `#fetch` tool
- Use the tool `#azure_design_architecture` to generate an overall architecture diagram.
- Generate a network architecture diagram to illustrate connectivity.
Output file
- **Folder:** `.bicep-planning-files/` (create if missing).
- **Filename:** `INFRA.{goal}.md`.
- **Format:** Valid Markdown.
Implementation plan structure
---
goal: [Title of what to achieve]
---
# Introduction
[1–3 sentences summarizing the plan and its purpose]
## Resources
<!-- Repeat this block for each resource -->
### {resourceName}
name: <resourceName>
kind: AVM | Raw
# If kind == AVM:
avmModule: br/public:avm/res/<service>/<resource>:<version>
# If kind == Raw:
type: Microsoft.<provider>/<type>@<apiVersion>
purpose: <one-line purpose>
dependsOn: [<resourceName>, ...]
parameters:
required:
- name: <paramName>
type: <type>
description: <short>
example: <value>
optional:
- name: <paramName>
type: <type>
description: <short>
default: <value>
outputs:
- name: <outputName>
type: <type>
description: <short>
references:
docs: {URL to Microsoft Docs}
avm: {module repo URL or commit} # if applicable
# Implementation Plan
{Brief summary of overall approach and key dependencies}
## Phase 1 — {Phase Name}
**Objective:** {objective and expected outcomes}
{Description of the first phase, including objectives and expected outcomes}
<!-- Repeat Phase blocks as needed: Phase 1, Phase 2, Phase 3, … -->
- IMPLEMENT-GOAL-001: {Describe the goal of this phase, e.g., "Implement feature X", "Refactor module Y", etc.}
| Task | Description | Action |
| -------- | --------------------------------- | -------------------------------------- |
| TASK-001 | {Specific, agen🎯 Best For
- Claude users
- GitHub Copilot users
- Software engineers
- Development teams
- Tech leads
💡 Use Cases
- Code quality improvement
- Best practice enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Bicep Planning to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Is Bicep Planning compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Bicep Planning?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Bicep Planning?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/bicep-plan/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.