teardown-agent-aca-aws Skill
AI-led teardown of the AWS Bedrock sample agent deployment on Azure Container Apps created by deploy-agent-aca-aws. Use when the user wants to delete the AWS sample ACA deployment, clean up the resource group, remove the AWS IAM role + OIDC provider, delete the intermediary Entra app, or optionally delete the Blueprint Published by microsoft in entra-agentid-samples.
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Deployment, Includes SKILL.md, Reusable instructions
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Copy skill directory
2 months ago · MIT license
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What is teardown-agent-aca-aws Skill?
AI-led teardown of the AWS Bedrock sample agent deployment on Azure Container Apps created by deploy-agent-aca-aws. Use when the user wants to delete the AWS sample ACA deployment, clean up the resource group, remove the AWS IAM role + OIDC provider, delete the intermediary Entra app, or optionally delete the Blueprint Published by microsoft in entra-agentid-samples. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Deployment
- Deployment use cases
Declared skill metadata
- Source file: .claude/skills/teardown-agent-aca-aws/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use teardown-agent-aca-aws Skill
- Use it for deployment.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/entra-agentid-samples
- Skill file: .claude/skills/teardown-agent-aca-aws/SKILL.md
What it does
AI-led teardown of the AWS Bedrock sample agent deployment on Azure Container Apps created by deploy-agent-aca-aws. Use when the user wants to delete the AWS sample ACA deployment, clean up the resource group, remove the AWS IAM role + OIDC provider, delete the intermediary Entra app, or optionally delete the Blueprint
Skill instructions
Teardown — AWS Bedrock Agent on Azure Container Apps (AI-Led) Reverses the deploy-agent-aca-aws skill. Deletes Azure resources, the AWS IAM role and OIDC provider, and (opt-in) the Entra objects created along the way. Paired with: deploy-agent-aca-aws. Uses the same /tmp/deploy-vars.sh produced by that skill. When to Use - User says: "tear down the AWS ACA deployment", "delete the Azure resources for the AWS sample", "clean up after the demo" - User wants to re-run the deploy skill from a clean state - User is ending a demo and needs to remove billable resources Do NOT Use When - Local dev — sidecar/dev/ runs in docker-compose; docker compose down -v is enough - Shared / long-lived tenants — do not run this against a tenant where other teams may own the Blueprint or Client SPA. Confirm ownership with the user first. - Hardened / long-lived deployments — this skill assumes a throwaway demo deployment. Safety posture This skill is destructive. To prevent accidents: 1. Dry-run by default.
Verified compatibility and discovery
Frequently asked questions
What is teardown-agent-aca-aws?
teardown-agent-aca-aws is a open-source AI agent skill with Copy skill directory. AI-led teardown of the AWS Bedrock sample agent deployment on Azure Container Apps created by deploy-agent-aca-aws.
Who is teardown-agent-aca-aws best for?
teardown-agent-aca-aws is best for reusing agent instructions, scripts, and references, deployment workflows.
How do I install teardown-agent-aca-aws?
Install or run teardown-agent-aca-aws using Copy skill directory. Check teardown-agent-aca-aws for the latest setup command.
Is teardown-agent-aca-aws actively maintained?
teardown-agent-aca-aws may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
