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…/startups/agent-advisor
home/skills/awslabs/startups/agent-advisor
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agent-advisor

byawslabs· 90 skills

Stars

15

Forks

16

Category

AI Agents & MCP

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TL;DR

Unified entry point for AI-agent work on AWS: evaluate and pick a runtime, generate a full migration plan (for existing workloads), and build an executable POC — all in one flow. Triggers on: which runtime for my agent, AgentCore vs ECS vs EKS vs Lambda, AgentCore vs Lambda MicroVMs, deploy an AI agent on AWS, agent architecture on AWS, I have an agent idea what do I build, move my agents to AWS, migrate my agents to AWS with a plan, agent migration plan, add AgentCore services, add memory/gateway/identity/policy to my agent, enable AgentCore Memory, add observability to my agent, I'm already on AWS and want to add agent capabilities, migrate Temporal workers to AWS, Temporal to AWS, run Temporal on AWS, Temporal workers on AWS, we use Temporal and want to move to AWS, our service is orchestrated by Temporal, what do I build on AWS for my Temporal workers, move a Temporal-based service to AWS, Temporal Cloud or self-hosted on AWS. Runs a phased flow: Intake (entry point + technical background), Discover (lightweight code detection), Clarify (adaptive questions), deterministic scoring, Design (runtime + deployment model + services + model), Estimate (coarse cost), Generate (layered recommendation doc + scaffolding), then optional gated stages: Migration Plan (full plan generated in-skill by reusing this plugin's gcp-to-aws engine, with the advisor's decisions carried over) and POC (deployment plan + deployable proof-of-concept on the recommended runtime — AgentCore, ECS, EKS, or Lambda; generated deliverables by default, or assisted build in your account on explicit opt-in). Systems with several workloads (interacting or independent agents, batch jobs, services) are decomposed into workload units, each getting its own verdict with a consolidation option. An add-capabilities branch (for teams already running agents on AWS) recommends which AgentCore services to enable on any runtime — no runtime scoring. Temporal systems dissolve into the same unit flow — worker polling tiers and Activity execution classes become units (rules in the Temporal decision reference); Workflow orchestration code is never rewritten — never a Step Functions translation. Requires at least one agentic component: a purely non-agent system (only plain services / batch jobs / HTTP endpoints, or a Temporal worker whose Activities are all non-agent) is out of scope — Clarify halts it (scope gate) and points to migration-to-aws / heroku-to-aws / llm-to-bedrock. Not for: pure compute/data migration with no AI agent; pure LLM SDK rewrite without agent architecture (use llm-to-bedrock); or detailed per-model pricing.

How to install agent-advisor?

awslabs/startups/agent-advisor
$npx -y skills add awslabs/startups --skill agent-advisor

Installs into the current project.

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Use this skill

Run `npx skills use "https://github.com/awslabs/startups" --skill "awslabs/startups/agent-advisor"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.

Use the whole pack

Use the skills in "https://github.com/awslabs/startups" that are relevant to the current task. Run `npx skills add "https://github.com/awslabs/startups"` and select the relevant skills, then follow their instructions.

Preview

awslabs/startupsawslabs/startups

$ npx -y skills add awslabs/startups --skill agent-advisor

▸ installing to .claude/skills…

✓ agent-advisor ready

Repoawslabs/startups
TypeSkills
CategoryAI Agents & MCP
ForArchitectProduct Manager
UpdatedJul 2026
License—
First seenJul 26, 2026

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