aws-agent-skills MCP — Anwendungsfälle, Installieren & Live-Demo

Warum nutzen

Hauptfunktionen

18 core AWS services covered (IAM, Lambda, DynamoDB, S3, API Gateway, EC2, ECS, EKS, CFN, CloudWatch, RDS, SQS, SNS, Cognito, Step Functions, Secrets Manager, EventBridge, Bedrock)
Each SKILL.md includes CLI reference with real flags, not guessed ones
Common-pattern section per service surfaces production idioms
Security best-practices baked in (least-privilege IAM, encryption defaults)
Metadata tracks last-updated so you know the reference's freshness

Live-Demo

In der Praxis

aws-agent-skill.replay ▶ bereit

0/0

Installieren

Wählen Sie Ihren Client

~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "aws-agent-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/itsmostafa/aws-agent-skills",
        "~/.claude/skills/aws-agent-skills"
      ],
      "_inferred": true
    }
  }
}

Öffne Claude Desktop → Settings → Developer → Edit Config. Nach dem Speichern neu starten.

~/.cursor/mcp.json · .cursor/mcp.json

{
  "mcpServers": {
    "aws-agent-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/itsmostafa/aws-agent-skills",
        "~/.claude/skills/aws-agent-skills"
      ],
      "_inferred": true
    }
  }
}

Cursor nutzt das gleiche mcpServers-Schema wie Claude Desktop. Projektkonfiguration schlägt die globale.

VS Code → Cline → MCP Servers → Edit

{
  "mcpServers": {
    "aws-agent-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/itsmostafa/aws-agent-skills",
        "~/.claude/skills/aws-agent-skills"
      ],
      "_inferred": true
    }
  }
}

Klicken Sie auf das MCP-Servers-Symbol in der Cline-Seitenleiste, dann "Edit Configuration".

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "aws-agent-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/itsmostafa/aws-agent-skills",
        "~/.claude/skills/aws-agent-skills"
      ],
      "_inferred": true
    }
  }
}

Gleiche Struktur wie Claude Desktop. Windsurf neu starten zum Übernehmen.

~/.continue/config.json

{
  "mcpServers": [
    {
      "name": "aws-agent-skill",
      "command": "git",
      "args": [
        "clone",
        "https://github.com/itsmostafa/aws-agent-skills",
        "~/.claude/skills/aws-agent-skills"
      ]
    }
  ]
}

Continue nutzt ein Array von Serverobjekten statt einer Map.

~/.config/zed/settings.json

{
  "context_servers": {
    "aws-agent-skill": {
      "command": {
        "path": "git",
        "args": [
          "clone",
          "https://github.com/itsmostafa/aws-agent-skills",
          "~/.claude/skills/aws-agent-skills"
        ]
      }
    }
  }
}

In context_servers hinzufügen. Zed lädt beim Speichern neu.

claude mcp add aws-agent-skill -- git clone https://github.com/itsmostafa/aws-agent-skills ~/.claude/skills/aws-agent-skills

Einzeiler. Prüfen mit claude mcp list. Entfernen mit claude mcp remove.

Anwendungsfälle

Praxisnahe Nutzung: aws-agent-skills

Write a least-privilege IAM policy for a Lambda + DynamoDB pair

👤 Backend engineers setting up AWS resources ⏱ ~15 min intermediate

Wann einsetzen: You're wiring a Lambda to a Dynamo table and don't want to give it * permissions.

Ablauf

State the access needed

Use the aws iam + lambda skills. Write a policy for a Lambda that needs GetItem and UpdateItem on table Orders and nothing else.✓ Kopiert

→ Policy with exact actions + resource ARN, no wildcards
Test

Give me the aws iam simulate-custom-policy command to verify this allows only those two actions.✓ Kopiert

→ Runnable command with correct syntax

Ergebnis: A production-quality least-privilege IAM policy with verification.

Fallstricke

Policy uses wildcards for convenience — Insist on exact resource ARNs — skill supports this strongly

Kombinieren mit: terraform-skill

Design an EventBridge → Step Functions → Lambda pipeline

👤 Serverless engineers ⏱ ~40 min advanced

Wann einsetzen: You need an event-driven workflow and want the right service boundaries.

Ablauf

Sketch the flow

Use the eventbridge + step-functions + lambda skills. Design a pipeline that triggers on S3 uploads, orchestrates 3 steps, and writes to DynamoDB.✓ Kopiert

→ Architecture diagram + IaC snippets
Observability

Now add CloudWatch alarms and structured logging.✓ Kopiert

→ Specific metric filters and alarm thresholds

Ergebnis: A buildable serverless architecture with monitoring.

Fallstricke

Step Functions costs explode at scale — Skill flags when Express workflows fit better than Standard

Kombinieren mit: terraform-skill

Scaffold a Bedrock-backed RAG service

👤 Engineers building LLM features on AWS ⏱ ~60 min advanced

Wann einsetzen: You want to use Bedrock for embeddings + generation without piecing it together from blog posts.

Ablauf

Describe the service

Use the bedrock + s3 + dynamodb skills. Scaffold a RAG service: upload docs to S3, embed with Titan, store in DynamoDB, retrieve + generate at query time.✓ Kopiert

→ Runnable code with correct Bedrock invoke calls and embedding model IDs

Ergebnis: A first-pass RAG scaffold on AWS-native services.

Fallstricke

Using Dynamo for vector search at scale — Skill notes when OpenSearch or pgvector is a better fit

Kombinationen

Mit anderen MCPs für 10-fache Wirkung

aws-agent-skill + terraform-skill

AWS skills propose the design; Terraform skill writes the HCL

Design the Lambda+Dynamo stack using the aws skills, then have terraform-skill write the module.✓ Kopiert

aws-agent-skill + aws

Skill tells Claude the right calls; AWS MCP actually runs them

Use the aws-agent-skills to design the policy, then apply it via the aws MCP.✓ Kopiert

Werkzeuge

Was dieses MCP bereitstellt

Werkzeug	Eingaben	Wann aufrufen
IAM skill	role/policy intent	Any AWS permissions work
Lambda skill	function spec	Serverless function design
DynamoDB skill	access patterns	NoSQL modeling
CloudFormation skill	resources	IaC in CFN
Bedrock skill	LLM use case	Using AWS-native GenAI

Kosten & Limits

Was der Betrieb kostet

API-Kontingent: None for the skill
Tokens pro Aufruf: 3-8k per service loaded
Kosten in €: Free — skill is local. AWS usage costs are yours.
Tipp: Name the services you're using so Claude loads only those SKILL.md files.

Sicherheit

Rechte, Secrets, Reichweite

Credential-Speicherung: No credentials in the skill. Real AWS calls should use OIDC roles, not static keys.

Datenabfluss: None from the skill itself

Double-check generated IAM policies before deploying — the skill aims for least-privilege but you know your workload best.

Fehlerbehebung

Häufige Fehler und Lösungen

CLI flag rejected by actual AWS CLI

AWS occasionally renames flags. Check the service's last-updated metadata; cross-reference official docs if stale.

Prüfen: aws <service> <command> help

Claude uses SDK v2 patterns for Python boto3

Boto3 is v1 (and stable); don't confuse with AWS SDK for JS v2/v3. Specify language explicitly.

Alternativen

aws-agent-skills vs. andere

Alternative	Wann stattdessen	Kompromiss
aws MCP	You want Claude to actually call AWS, not just write snippets	MCP executes; this skill informs
cloud-provider-agnostic IaC skills (pulumi, cdk)	You prefer code-first IaC	Different mental model

Mehr

Ressourcen

📖 Offizielle README auf GitHub lesen

🐙 Offene Issues ansehen

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