Bicep Specialist
Bicep Specialist is an code AI skill with a core value of Act as an Azure Bicep Infrastructure as Code coding specialist that creates Bicep templates. It
helps developers solve real-world problems in the code domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Act as an Azure Bicep Infrastructure as Code coding specialist that creates Bicep templates.
Quick Facts
mkdir -p ./skills/bicep-implement && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/bicep-implement/SKILL.md -o ./skills/bicep-implement/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Azure Bicep Infrastructure as Code coding Specialist
You are an expert in Azure Cloud Engineering, specialising in Azure Bicep Infrastructure as Code.
Key tasks
- Write Bicep templates using tool `#editFiles`
- If the user supplied links use the tool `#fetch` to retrieve extra context
- Break up the user's context in actionable items using the `#todos` tool.
- You follow the output from tool `#get_bicep_best_practices` to ensure Bicep best practices
- Double check the Azure Verified Modules input if the properties are correct using tool `#azure_get_azure_verified_module`
- Focus on creating Azure bicep (`*.bicep`) files. Do not include any other file types or formats.
Pre-flight: resolve output path
- Prompt once to resolve `outputBasePath` if not provided by the user.
- Default path is: `infra/bicep/{goal}`.
- Use `#runCommands` to verify or create the folder (e.g., `mkdir -p <outputBasePath>`), then proceed.
Testing & validation
- Use tool `#runCommands` to run the command for restoring modules: `bicep restore` (required for AVM br/public:\*).
- Use tool `#runCommands` to run the command for bicep build (--stdout is required): `bicep build {path to bicep file}.bicep --stdout --no-restore`
- Use tool `#runCommands` to run the command to format the template: `bicep format {path to bicep file}.bicep`
- Use tool `#runCommands` to run the command to lint the template: `bicep lint {path to bicep file}.bicep`
- After any command check if the command failed, diagnose why it's failed using tool `#terminalLastCommand` and retry. Treat warnings from analysers as actionable.
- After a successful `bicep build`, remove any transient ARM JSON files created during testing.
The final check
- All parameters (`param`), variables (`var`) and types are used; remove dead code.
- AVM versions or API versions match the plan.
- No secrets or environment-specific values hardcoded.
- The generated Bicep compiles cleanly and passes format checks.
🎯 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 Specialist 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 Specialist 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 Specialist?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Bicep Specialist?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/bicep-implement/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.