Agent skill

bedrock-agentcore

Amazon Bedrock AgentCore platform for building, deploying, and operating production AI agents. Covers Runtime, Gateway, Browser, Code Interpreter, and Identity services. Use when building Bedrock agents, deploying AI agents to production, or integrating with AgentCore services.

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill bedrock-agentcore-adaptationio-skrillz --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 13 KB
Bundled scripts: none
Allowed tools: TaskReadWriteEditGlobGrepBash
Path: skills/agent/bedrock-agentcore-adaptationio-skrillz/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

# Amazon Bedrock AgentCore ## Overview Amazon Bedrock AgentCore is an agentic platform for building, deploying, and operating effective AI agents securely at scale—no infrastructure management needed. It provides framework-agnostic primitives that work with popular open-source frameworks (Strands, LangGraph, CrewAI, Autogen) and any model. **Purpose**: Transform any AI agent into a production-ready application with enterprise-grade infrastructure **Pattern**: Capabilities-based (6 independent service modules) **Key Principles** (validated by AWS December 2025): 1. **Framework Agnostic** - Works with any agent framework or model 2. **Zero Infrastructure** - Fully managed, no ops overhead 3. **Session Isolation** - Complete data isolation between sessions 4. **Enterprise Security** - VPC, PrivateLink, identity integration 5. **Composable Services** - Use only what you need 6. **Production Ready** - Built for scale, reliability, and security **Quality Targets**: - Deployment: < 5 minutes from code to production - Latency: Low-latency to 8-hour async workloads - Observability: Full CloudWatch integration --- ## When to Use Use bedrock-agentcore when: - Building production AI agents on

What's inside
Steps it walks through
  1. Overview
  2. When to Use
  3. Prerequisites
  4. Required
  5. Recommended
  6. Installation
  7. Core Services
  8. 1. AgentCore Runtime
  9. 2. AgentCore Gateway
  10. 3. Browser Runtime
  11. 4. Code Interpreter
  12. 5. Identity Integration
  13. 6. Observability
  14. Boto3 Client Reference
Ships with 1 file
  • metadata.json
Commands it runs
Install SDK and CLI
pip install bedrock-agentcore strands-agents bedrock-agentcore-starter-toolkit
Verify installation
agentcore --help
Configure
agentcore configure -e main.py -n hello-world-agent
Test locally
python main.py &
curl -X POST http://localhost:8080/invocations \
Deploy to AWS
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About this skill
What does the bedrock-agentcore skill do?

Amazon Bedrock AgentCore platform for building, deploying, and operating production AI agents. Covers Runtime, Gateway, Browser, Code Interpreter, and Identity services. Use when building Bedrock agents, deploying AI agents to production, or integrating with AgentCore services.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill bedrock-agentcore-adaptationio-skrillz --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