smithery/neversight

autonomous-cloud-orchestration

Orchestrate multi-service AWS workflows with autonomous agents. Coordinates across compute, storage, identity, and observability services for intelligent cloud automation.

Installation

$ npx skills add smithery/neversight --skill autonomous-cloud-orchestration

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Skill metadata

Parsed from SKILL.md frontmatter.

LicenseProprietary. LICENSE.txt has complete terms

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 6,000 B
  • docs SUMMARY.md 209 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

AWS Bedrock AgentCore

AWS Bedrock AgentCore provides a complete platform for deploying and scaling AI agents with seven core services. This skill guides you through service selection, deployment patterns, and integration workflows using AWS CLI.

AWS Documentation Requirement

CRITICAL: This skill requires AWS MCP tools for accurate, up-to-date AWS information.

Before Answering AWS Questions

  1. Always verify using AWS MCP tools (if available):

- mcpaws-mcpaws___search_documentation or mcpawsdocsaws___search_documentation - Search AWS docs - mcpaws-mcpaws___read_documentation or mcpawsdocsaws___read_documentation - Read specific pages - mcpaws-mcpaws___getregionalavailability - Check service availability

  1. If AWS MCP tools are unavailable:

- Guide user to configure AWS MCP: See [AWS MCP Setup Guide](../../docs/aws-mcp-setup.md) - Help determine which option fits their environment: - Has uvx + AWS credentials → Full AWS MCP Server - No Python/credentials → AWS Documentation MCP (no auth) - If cannot determine → Ask user which option to use

When to Use This Skill

Use this skill when you need to:

  • Deploy REST APIs as MCP tools for AI agents (Gateway)
  • Execute agents in serverless runtime (Runtime)
  • Add conversation memory to agents (Memory)
  • Manage API credentials and authentication (Identity)
  • Enable agents to execute code securely (Code Interpreter)
  • Allow agents to interact with websites (Browser)
  • Monitor and trace agent performance (Observability)

Available Services

Service Use For Documentation
Gateway Converting REST APIs to MCP tools [services/gateway/README.md](services/gateway/README.md)
Runtime Deploying and scaling agents [services/runtime/README.md](services/runtime/README.md)
Memory Managing conversation state [services/memory/README.md](services/memory/README.md)
Identity Credential and access management [services/identity/README.md](services/identity/README.md)
Code Interpreter Secure code execution in sandboxes [services/code-interpreter/README.md](services/code-interpreter/README.md)
Browser Web automation and scraping [services/browser/README.md](services/browser/README.md)
Observability Tracing and monitoring [services/observability/README.md](services/observability/README.md)

Common Workflows

Deploying a Gateway Target

MANDATORY - READ DETAILED DOCUMENTATION: See [services/gateway/README.md](services/gateway/README.md) for complete Gateway setup guide including deployment strategies, troubleshooting, and IAM configuration.

Quick Workflow:

  1. Upload OpenAPI schema to S3
  2. (API Key auth only) Create credential provider and store API key
  3. Create gateway target linking schema (and credentials if using API key)
  4. Verify target status and test connectivity

Note: Credential provider is only needed for API key authentication. Lambda targets use IAM roles, and MCP servers use OAuth.

Managing Credentials

MANDATORY - READ DETAILED DOCUMENTATION: See [cross-service/credential-management.md](cross-service/credential-management.md) for unified credential management patterns across all services.

Quick Workflow:

  1. Use Identity service credential providers for all API keys
  2. Link providers to gateway targets via ARN references
  3. Rotate credentials quarterly through credential provider updates
  4. Monitor usage with CloudWatch metrics

Monitoring Agents

MANDATORY - READ DETAILED DOCUMENTATION: See [services/observability/README.md](services/observability/README.md) for comprehensive monitoring setup.

Quick Workflow:

  1. Enable observability for agents
  2. Configure CloudWatch dashboards for metrics
  3. Set up alarms for error rates and latency
  4. Use X-Ray for distributed tracing

Service-Specific Documentation

For detailed documentation on each AgentCore service, see the following resources:

Gateway Service

  • Overview: [services/gateway/README.md](services/gateway/README.md)
  • Deployment Strategies: [services/gateway/deployment-strategies.md](services/gateway/deployment-strategies.md)
  • Troubleshooting: [services/gateway/troubleshooting-guide.md](services/gateway/troubleshooting-guide.md)

Runtime, Memory, Identity, Code Interpreter, Browser, Observability

Each service has comprehensive documentation in its respective directory:

  • [services/runtime/README.md](services/runtime/README.md)
  • [services/memory/README.md](services/memory/README.md)
  • [services/identity/README.md](services/identity/README.md)
  • [services/code-interpreter/README.md](services/code-interpreter/README.md)
  • [services/browser/README.md](services/browser/README.md)
  • [services/observability/README.md](services/observability/README.md)

Cross-Service Resources

For patterns and best practices that span multiple AgentCore services:

  • Credential Management: [cross-service/credential-management.md](cross-service/credential-management.md) - Unified credential patterns, security practices, rotation procedures

Additional Resources