ai-infra
claudeBuild and operate agentic AI workloads on EKS with vLLM, Inference Gateway, Langfuse, and Kagent. Covers GPU planning, model serving, routing, observability, and guardrails.
6 skills · 2 commands · 4 agents · 11 MCP servers · hooks
Plugin marketplace
AIDLC reliability dual-axis as plugins — Ontology Engineering (correctness) and Harness Engineering (safety) on AWS, with AIDLC Workflows as the process spine and AgenticOps closing the living-ontology Outer Loop.
Add this marketplace
Then install any plugin below by name — each page has its exact command.
Build and operate agentic AI workloads on EKS with vLLM, Inference Gateway, Langfuse, and Kagent. Covers GPU planning, model serving, routing, observability, and guardrails.
6 skills · 2 commands · 4 agents · 11 MCP servers · hooks
AIDLC Phase 1 (Inception) + Phase 2 (Construction) opt-in extensions for awslabs/aidlc-workflows. Inception covers workspace detection, adaptive-depth requirements analysis, user stories, and workflow planning. Construction covers component design, code generation, TDD-for-agentic test strategy, risk discovery, and phase quality gates.
12 skills · hooks
Agentic operations layer for AIDLC — self-improving loops, autonomous deploys, continuous evaluation, incident response, and cost governance.
11 skills · hooks
Legacy workload modernization to AWS — 6R strategy, workload assessment, to-be architecture, containerization, and cutover planning. Adapted from aws-samples/sample-ai-driven-modernization-with-kiro (MIT-0).
5 skills · 1 command · 1 agent · hooks
Shows how many plugins this repo ships, and links here.