Using Amazon Skills

Using Amazon Skills is a skill for Claude Code from robisson/build-like-amazon-agent-skills. It costs 29 tokens per session (4,416 once invoked), scanned A, original, MIT.

A guide for choosing and combining the other skills in this library. It explains the library's routing process, shared working practices, and how the practices fit together.

In plain words
What is it for?
Use it to discover a suitable skill, combine skills for a project, establish shared practices, or check how the overall approach fits together.
Why use it?
It helps when you do not know which skill applies or when a task needs several skills. It provides a common starting point for projects and new team members.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool.

Part of the build-like-amazon plugin — 28 skills, 14 commands shipped together

Good fit Use it to discover a suitable skill, combine skills for a project, establish shared practices, or check how the overall approach fits together.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/robisson/build-like-amazon-agent-skills/using-amazon-skills
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add robisson/build-like-amazon-agent-skills --skill using-amazon-skills
Clone the repo
git clone --depth 1 https://github.com/robisson/build-like-amazon-agent-skills

Made for: Claude Code.

Or install build-like-amazon, the plugin that ships this one along with the rest of its 28 skills, 14 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for Using Amazon Skills

README.md
[![agentmods](https://agentmods.dev/badge/skills/robisson/build-like-amazon-agent-skills/using-amazon-skills/github.svg)](https://agentmods.dev/skills/robisson/build-like-amazon-agent-skills/using-amazon-skills)
Your own site
<a href="https://agentmods.dev/skills/robisson/build-like-amazon-agent-skills/using-amazon-skills"><img src="https://agentmods.dev/badge/skills/robisson/build-like-amazon-agent-skills/using-amazon-skills/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for Using Amazon Skills

Your own site · 80×15
<a href="https://agentmods.dev/skills/robisson/build-like-amazon-agent-skills/using-amazon-skills"><img src="https://agentmods.dev/badge/skills/robisson/build-like-amazon-agent-skills/using-amazon-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,416 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00029 $0.04416
Opus 5 $0.00015 $0.02208
Sonnet 5 $0.00006 $0.00883
Haiku 4.5 $0.00003 $0.00442

Measured 9d ago against content hash 8013e9a0e8b5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

Using Amazon Skills scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/using-amazon-skills/SKILL.md · 300 lines

How it starts

The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Using Amazon Skills

Overview

This is the meta-skill: it describes how to navigate, select, and combine the other skills in this library. Use this when you're unsure which skill applies, when you need to understand how skills interact, or when you want to establish core operating behaviors that underpin all other skills. Think of this as the operating system on which individual skills run.

When to Use

  • Starting a new project and wondering "what's the Amazon way?"
  • Unsure which skill applies to your current situation
  • Onboarding new team members to this way of working
  • Wanting to establish core behaviors before diving into specific practices
  • Assessing whether your team is following the overall system, not just individual parts

Amazon Context

Amazon doesn't have a single monolithic process—it has a collection of mechanisms, principles, and practices that compose together. The power comes from the composition: progressive deployment is effective because pipelines enforce safety gates, which work because alarms are set up correctly, which matter because the team operates the service they build. Remove one piece and the others weaken. This meta-skill helps you see the whole system.

Skill Routing Flow Chart

"I'm starting a new project"

Start → Working Backwards (define what customer needs)
      → Dependency Management (if external/system dependencies exist)
      → Feature Flag Lifecycle (if controlled exposure or kill switch is needed)
      → Operational Excellence (operational signals and runbooks)
      → Design Document (technical approach)
      → API Contract First (define interfaces)
      → Infrastructure as Code (define resources)
      → Operational Excellence (set up monitoring)
      → Progressive Deployment (ship safely)

"I'm writing/reviewing code"

Code change → Code Review Bar Raising (quality)
            → Test-Driven Development (coverage)
            → Pipeline Safety (automated gates)
            → Progressive Deployment (ship it)

Read the full file on GitHub · 300 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 300 lines · 29 tokens per session scan A 8013e9a0e8b5

Subscribe to this mod's changes

Using Amazon Skills is a skill published in the GitHub repository robisson/build-like-amazon-agent-skills (14 stars, last pushed 3mo ago), licensed MIT. It adds 29 tokens to every session and 4,416 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

claude-md-improver

Audit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions "CLAUDE.md maintenance" or "project…

anthropics/claude-plugins-official · 82 tokens

agent-platform-rag-engine-management

Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google…

google/skills · 85 tokens

gke-workload-security

Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running cluster security audits (auditcluster.sh), configuring Workload Identity Federation (impersonation, KSA/GSA binding, and pod setup), enforcing Network Policies (default-deny…

google/skills · 181 tokens

gke-reliability

Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for disaster recovery setup or full cluster backups (use gke-backup-dr instead).

google/skills · 73 tokens

agent-platform-model-registry

Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.

google/skills · 60 tokens

google-cloud-solution-agentic-analytics-spark-knowledge-catalog

Discovers requirements and generates guidance to design and deploy a governed, secure agentic-analytics solution for data that's distributed across Google Cloud, other cloud providers, or on-premises. Data that's outside Google Cloud (such as data from Databricks, Snowflake, Salesforce, SAP, or Oracle systems) is…

google/skills · 138 tokens