Agent skill · DevOps & Cloud

aws-agentic-ai

AWS Bedrock AgentCore comprehensive expert for deploying and managing all AgentCore services. Use when working with Gateway, Runtime, Memory, Identity, or any AgentCore component. Covers MCP target deployment, credential management, schema optimization, runtime configuration, memory management, and identity services.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill aws-agentic-ai-commandcodeai-agent-skills --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/agent/aws-agentic-ai-commandcodeai-agent-skills/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the 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): - `mcp__aws-mcp__aws___search_documentation` or `mcp__*awsdocs*__aws___search_documentation` - Search AWS docs - `mcp__aws-mcp__aws___read_documentation` or `mcp__*awsdocs*__aws___read_documentation` - Read specific pages - `mcp__aws-mcp__aws___get_regional_availability` - Check service availability 2. **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

What's inside
Steps it walks through
  1. AWS Documentation Requirement
  2. Before Answering AWS Questions
  3. When to Use This Skill
  4. Available Services
  5. Common Workflows
  6. Deploying a Gateway Target
  7. Managing Credentials
  8. Monitoring Agents
  9. Service-Specific Documentation
  10. Gateway Service
  11. Runtime, Memory, Identity, Code Interpreter, Browser, Observability
  12. Cross-Service Resources
  13. Additional Resources
Ships with 1 file
  • metadata.json
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About this skill
What does the aws-agentic-ai skill do?

AWS Bedrock AgentCore comprehensive expert for deploying and managing all AgentCore services. Use when working with Gateway, Runtime, Memory, Identity, or any AgentCore component. Covers MCP target deployment, credential management, schema optimization, runtime configuration, memory management, and identity services.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill aws-agentic-ai-commandcodeai-agent-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going