By aws-samples
Agentic AI Acceleration - Plan, track, and review AI agent projects on AWS. Orchestrates work, records architecture decisions, and verifies stage transitions around the aws-agents plugin.
Use when a developer asks about agent design best practices, patterns, or how to make a better agent. Provides curated guidance on architecture patterns, tool design, prompt engineering, error handling, and other quality aspects of agent development. Triggers on: "best practice", "how should I design", "good agent", "agent pattern", "multi-agent", "tool design", "prompt design", "3a guide", "advice", "is this a good approach", "what pattern", "single vs multi agent", "how to structure my agent". Not for project planning — use 3a-plan. Not for progress tracking — use 3a-track. Not for stage-gate reviews — use 3a-review. Not for implementation — delegate to aws-agents.
Use when a developer wants to plan an AI agent project before building it. Gathers requirements, defines architecture, and produces an execution roadmap. Triggers on: "plan my agent", "what should I build", "agent architecture", "requirements", "design my agent", "how should I structure", "roadmap", "3a plan", "planning", "before I start building". Not for actual implementation — delegates to aws-agents skills. Not for tracking progress — use 3a-track. Not for stage-gate reviews — use 3a-review.
Use when a developer is about to transition between project phases and needs a readiness check. Validates that prerequisites are met before moving from planning to implementation, implementation to deploy, or deploy to production. Triggers on: "am I ready to deploy", "review", "readiness check", "pre-deploy", "pre-production", "gate check", "3a review", "can I move on", "is my agent ready", "checklist", "before I deploy", "go to production". Not for creating a plan — use 3a-plan. Not for tracking progress — use 3a-track.
Use when a developer wants to check progress, understand where they are in their agent project, or figure out what to do next. Reads the roadmap and project state, then provides a status report with next steps. Triggers on: "where am I", "what's next", "status", "progress", "what should I do now", "3a status", "track", "stuck", "lost", "which phase", "next step". Not for creating a plan — use 3a-plan first. Not for stage-gate reviews — use 3a-review.
Executes bash commands
Hook triggers when Bash tool is used
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A curated archive of agentic AI code assets, sample implementations, and artifacts developed through the Agentic AI Acceleration program in Korea.
This repository serves as a reference collection for builders looking to explore agentic AI patterns and accelerate their own development — covering everything from production-grade agent architectures to reusable Claude Code tooling.
.
├── projects/ # Self-contained sample projects
├── plugin/ # 3a-plugin — Claude Code plugin reusable across projects
└── ...
Each project lives in its own folder under projects/ with a dedicated README and setup guide.
| Project | Description |
|---|---|
| agentops-kit | An e-commerce data-analytics agent that demonstrates a full AgentOps pipeline: Gateway → Observability → Evaluation → Improvement. AWS Seoul Summit 2026 demo (AIM310). |
This table is updated whenever a new project is added.
| Tool | Description |
|---|---|
| 3a-plugin | A Claude Code plugin that helps you plan, track, and verify AWS-based AI agent projects. Use it as a reference companion while building. |
To add a new sample, see CONTRIBUTING.md. Each project should be a self-contained folder with its own README and run instructions.
See CONTRIBUTING for more information.
This library is licensed under the MIT-0 License. See the LICENSE file.
npx claudepluginhub aws-samples/sample-agentic-ai-acceleration-kr --plugin 3a-pluginPrompt optimization skills for Amazon Nova 1 and Nova 2. Provides /nova1-prompt and /nova2-prompt — rewrite or migrate a prompt for a specific Nova generation with the correct inference config, formatting rules, and (for Nova 2) multimodal caveats.
Healthcare and Life Sciences domain skills and MCP tools — genomics, drug discovery, clinical trials, biomarker analysis, medical terminology, and more. Use with the AWS Agent Toolkit for full agent build-and-deploy workflows.
AWS Spark Analysis plugin for Claude Code - troubleshoot Spark workloads on AWS Glue, EMR, and EMR Serverless
Two Claude Code skills for EKS Auto Mode: onboarding guide for newcomers and maintenance playbook for repo maintainers
AIDLC Operations phase automation — self-improving loops, autonomous deploys, continuous evaluation, incident response, and cost governance on AWS. Humans approve at checkpoints; agents execute diagnosis, proposal, and remediation between gates.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Permanent coding companion for Claude Code — survives any update. MCP-based terminal pet with ASCII art, stats, reactions, and personality.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Comprehensive startup business analysis with market sizing (TAM/SAM/SOM), financial modeling, team planning, and strategic research
v9.44.1 — Patch release for Gemini environment/version detection and qwen auth gating. Run /octo:setup.
Complete creative writing suite with 10 specialized agents covering the full writing process: research gathering, character development, story architecture, world-building, dialogue coaching, editing/review, outlining, content strategy, believability auditing, and prose style/voice analysis. Includes genre-specific guides, templates, and quality checklists.