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AWS resource health diagnosis v1.0.0

Use this resource to diagnose a failing AWS resource and plan its remediation

New

  • 474 downloads
  • 172 likes
  • 128 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install aws-resource-health-diagnosis

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent identifies the resource (EC2, Lambda, RDS, ECS, ALB, DynamoDB or SQS), collects its CloudWatch logs and metrics, then ranks the problems found. You get a prioritized remediation plan.

Mostly picked by

Updated November 2, 2026

Card for the “AWS resource health diagnosis” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: discovery and diagnosis procedure, step by step
  • SKILL.md: checkpoints specific to EC2, Lambda, RDS, ECS, ALB, DynamoDB and SQS

Good fit for

  • An AWS resource responds slowly or fails for no clear reason
  • You want a status check before fixing a production service

Not for

    Tags

    • aws
    • diagnosis
    • remediation
    • cloudwatch

    About

    You say

    “Diagnose the export Lambda function: it has been failing since this morning.”

    Card for the “AWS resource health diagnosis” skill

    Skill published by github under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to diagnose a failing AWS resource and plan its remediation
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md6.8 KB

    Origin and licence

    Listed unmodified

    Author
    github
    Source
    github.com/github/awesome-copilot/tree/0fe6545b950671641b2b14b44eb56678fea6c6b4/skills/aws-resource-health-diagnose
    Licence
    MIT

    Notice

    « aws-resource-health-diagnose » (github, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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