aws-agentic-ai
AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, or Evaluations. Covers agent deployment, MCP tool integration, credential management, agent discovery, governance workflows, and automated quality assessment. Essential when user mentions AgentCore, agent runtime, agent registry, agent evaluation, MCP gateway, deploy agent, register MCP server, discover agents, evaluate agent quality, agent credentials, or wan
npx skills add majiayu000/claude-skill-registry --skill aws-agentic-ai --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# AWS Bedrock AgentCore AWS Bedrock AgentCore provides a complete platform for deploying and scaling AI agents with nine core services. This skill covers service selection, deployment patterns, and integration workflows using AWS CLI. **How to use this skill**: Identify the service(s) the user needs from the table below, then read the corresponding service README before responding. For cross-service patterns (credentials, security, registry integration), check the Cross-Service Resources section. Verify AWS-specific details using the MCP documentation tools. ## AWS Documentation Requirement Always verify AWS facts using MCP tools before answering. Two documentation sources are available: - **AgentCore-specific docs** (`mcp__acdocs__*`) — bundled with this plugin, provides `search_agentcore_docs` and `fetch_agentcore_doc` for AgentCore documentation - **General AWS docs** (`mcp__aws-mcp__*` or `mcp__*awsdocs*__*`) — loaded via the `aws-mcp-setup` dependency for broader AWS documentation Prefer the AgentCore docs MCP for AgentCore-specific questions. If MCP tools are unavailable, guide the user through the `aws-mcp-setup` skill's setup flow. ## Available Services | Service | Use For
- AWS Documentation Requirement
- Available Services
- Common Workflows
- Deploying a Gateway Target
- Managing Credentials
- Discovering Agents and Tools (Agent Registry)
- Evaluating Agent Quality
- Monitoring Agents
- Deep-Dive References
- Advanced Runtime & OAuth References
- Runnable Script Templates
- Cross-Service Resources
- Additional Resources
What does the aws-agentic-ai skill do?
AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale. Use when working with any AgentCore service including Gateway, Runtime, Memory, Identity, Code Interpreter, Browser, Observability, Agent Registry, or Evaluations. Covers agent deployment, MCP tool integration, credential management, agent discovery, governance workflows, and automated quality assessment. Essential when user mentions AgentCore, agent runtime, agent registry, agent evaluation, MCP gateway, deploy agent, register MCP server, discover agents, evaluate agent quality, agent credentials, or wan
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill aws-agentic-ai --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.