aws-cdk – AWS 云基础设施即代码 Skill

3周前更新 8 0 0 0

aws-cdk 是指导 AI Agent 使用 AWS CDK 以代码方式定义和部署 AWS 云资源的开发型 Skill,适合需要用 TypeScript、Python 等语言构建云基础设施的开发和运维场景。

Skill 安装

多 Agent 安装
npx skills add https://github.com/aws/agent-toolkit-for-aws --skill aws-cdk

使用 npx skills 快速安装,支持将 Skill 添加到多个兼容的 AI Agent。

Skill 调研报告

Skill 详细介绍

aws/agent-toolkit-for-aws#aws-cdk 是 AWS 官方 agent-toolkit-for-aws 仓库中面向 AWS CDK(Cloud Development Kit)的一个 Agent Skill。它的作用是在 AI Agent 处理 AWS CDK 相关任务时,提供结构化的领域知识和操作指引,让 Agent 在编写、审查或排查 CDK 代码时更贴合 AWS 的官方实践。

它本身不是可独立运行的软件,也不是 AWS CDK 的替代品。CDK 的安装、合成(synth)、部署等实际动作仍然由 AWS CDK CLI 和你的 AWS 账号完成。Skill 提供的是一层“能力增强”:让 Agent 更容易理解和处理 CDK 代码与基础设施即代码(IaC)任务。

核心用途

  • 协助编写 AWS CDK 基础设施代码(Construct、Stack、App 结构)。
  • 协助审查现有 CDK 代码,发现结构问题或与 AWS 最佳实践的偏差。
  • 在 CDK 项目结构、Construct 分层、Stack 拆分等设计问题上给出建议。
  • 辅助排查 CDK 合成、部署过程中的常见问题。

它不是什么

  • 不是 AWS CDK 本身,不包含 CDK CLI。
  • 不替代 AWS 账号、凭证、CDK 工具链。
  • 不会自动替你部署资源到 AWS。
  • 不是一个独立的命令行工具或服务。

典型使用场景

  • 用 CDK 定义 AWS 资源时,让 Agent 按 CDK 惯用方式产出 TypeScript / Python 等语言的代码。
  • 对已有 CDK 项目做代码走查,梳理 Stack、Construct 的组织方式。
  • 学习 AWS CDK 时,把它当作一个能按官方实践回答问题的辅助层。

适合的用户

  • 已经在使用 AWS CDK 的开发者与 DevOps 工程师。
  • 正在从 CloudFormation 或其他 IaC 工具迁移到 CDK 的团队。
  • 需要在 AI Agent 协助下处理基础设施代码的人。

不适合的需求

  • 只想直接调用 AWS API 或管理控制台资源的场景。
  • 使用 Terraform、Pulumi 等其他 IaC 工具的项目。
  • 不涉及 AWS CDK 的普通编程任务。

需要注意的是,Skill 的能力与 agent-toolkit-for-aws 仓库当前提供的 CDK 相关文档、提示和指令直接相关。具体覆盖范围以官方仓库的当前内容为准。

Skill 安全评估

总体判断:该 Skill 来自 AWS 官方组织维护的仓库,来源可信度较高。它本质上是提示词 / 指令集类的能力增强,本身不强制要求执行 Shell 命令,也不强制要求你的 AWS 凭证。主要风险点在于 Agent 在处理 CDK 任务时可能产生的文件写入和命令执行行为,而不是 Skill 本身。

来源可信度

  • 属于 AWS 官方组织下的 agent-toolkit-for-aws 仓库,是官方一手来源,非第三方转载。
  • 建议以官方仓库的当前版本为准,不要使用来源不明的镜像或 Fork。

与权限相关的主要风险

  • 文件写入:当 Agent 用该 Skill 生成或修改 CDK 代码时,通常会在你的项目目录中创建或覆盖文件。建议在版本控制下操作,改动前可先提交或备份。
  • Shell 执行:如果 Agent 被允许执行 Shell,它可能运行 cdk 相关命令甚至安装依赖。这属于 Agent 的环境权限,不是 Skill 强制要求。若只想让它生成代码,可关闭 Agent 的自动执行 Shell 权限,由你手动运行命令。
  • AWS 凭证:Skill 本身不需要 AWS 凭证。只有当你在本机运行 cdk deploy 等命令、真正操作 AWS 账号时,才需要本机已配置好凭证。请确保这些凭证不被写入代码、日志或提交到仓库。
  • 网络访问:若 Agent 联网检索 AWS 文档,会产生正常网络请求。是否允许联网取决于 Agent 设置,与 Skill 本身无强绑定。

降低风险的建议

  • 在干净的分支或受版本控制的环境中让 Agent 生成 CDK 代码。
  • 审阅 Agent 产出的代码与命令后再执行部署。
  • 避免把 AWS 密钥、账号 ID 等敏感信息直接交给 Agent 处理。
  • 只从 AWS 官方仓库获取该 Skill,不使用来源不明的分包。

这里没有“绝对安全”的结论。是否安全,很大程度取决于你赋予 Agent 的权限,以及你是否在部署前审阅产出。

Skill 使用要求

一、Agent / 客户端

该 Skill 属于 AWS 官方 agent-toolkit-for-aws 仓库,主要面向支持 Agent Skills 加载机制的 AI Agent。官方并未公布完整的第三方 Agent 兼容列表。从 Agent Skill 的工作方式看,在支持 Skills、自定义 Skill 或类似指令加载机制的环境中,通常也可以尝试在 Claude Code、Codex、Cursor、Trae、OpenClaw、WorkBuddy 等主流 Agent 中使用。不同 Agent 的加载方式与兼容程度可能不同,具体以对应 Agent 当前版本为准。

二、运行环境 / 依赖

Skill 本身是能力增强层,运行环境要求主要取决于你实际要做的 CDK 任务。

| 项目 | 要求 |
|—|—|
| Agent | 支持 Skill / 自定义指令加载的 AI Agent |
| Node.js | 若使用 TypeScript / JavaScript 版 CDK 时需要 |
| Python | 若使用 Python 版 CDK 时需要 |
| AWS CDK CLI | 要真正 synth / deploy 时需要,Skill 本身不提供 |
| Git | 拉取或管理项目源码时使用 |
| 网络 | Agent 联网检索文档时需要,视设置而定 |

具体版本要求以 AWS CDK 官方文档与你的项目实际情况为准,Skill 本身不对 Node.js / Python 版本做硬性规定。

三、权限

  • 文件读取:可选。用于读取现有 CDK 项目或配置文件。
  • 文件写入:可选。生成或修改 CDK 代码时需要。
  • Shell 执行:可选。仅在需要运行 cdk 命令或安装依赖时。可关闭,由你手动执行。
  • 网络访问:可选。检索 AWS 文档时需要。

四、账号 / API Key

  • Skill 本身不需要 AWS 账号、API Key 或 Token。
  • 只有当你要用 CDK 真正部署到 AWS 时,本机才需要配置 AWS 凭证(如已登录的 CLI 配置)。这属于 AWS CDK 的正常使用要求,不是 Skill 的要求。

最小使用条件

  1. 一个支持 Skill 加载的 AI Agent。
  2. 一个 CDK 项目目录,或明确要生成 CDK 代码的需求。
  3. (可选)已安装的 AWS CDK CLI,用于实际 synth / deploy。

Skill 安装、使用与卸载教程

一、安装

LemonAIKit 本页面已单独提供该 Skill 的安装指令,可以直接复制后粘贴到你对应的 Agent 或终端执行。

如果你不确定自己的 Agent 该如何安装,可以直接询问当前 Agent:

如何安装 aws/agent-toolkit-for-aws#aws-cdk?

如何在 Claude Code 中安装 aws/agent-toolkit-for-aws#aws-cdk?

如何在 Cursor 中安装 aws/agent-toolkit-for-aws#aws-cdk?

让当前 Agent 根据自己的 Skill 加载 / 管理机制来指导安装,通常比套用统一命令更稳妥。

二、安装后如何使用

安装后,该 Skill 一般会在你处理 AWS CDK 相关任务时被加载或被显式触发。适合交给它的任务包括:编写 CDK 代码、梳理 Stack / Construct 结构、审查 CDK 代码、排查合成或部署问题。向 Agent 描述需求时,尽量说明使用的语言(TypeScript / Python 等)和目标资源。

使用 aws-cdk,帮我用 TypeScript 定义一个包含 S3 存储桶和 Lambda 的 CDK Stack。

使用 aws-cdk,检查我现有的 CDK 项目结构,看看 Stack 拆分是否合理。

使用 aws-cdk,帮我把这段 CloudFormation 模板改写成 CDK 代码。

三、卸载

不同 Agent 的 Skill 安装位置和管理方式可能不同,如果没有统一卸载命令,直接询问当前 Agent 如何移除更稳妥:

如何卸载 aws/agent-toolkit-for-aws#aws-cdk?

也可以通过对应 Agent 或 Skill 管理器提供的删除方式,移除对应的 Skill 条目或目录即可。

常见问题

1. 这个 Skill 和直接用 Agent 自带能力写 CDK 代码有什么区别?
它提供的是面向 AWS CDK 的官方结构化知识和操作指引,能让 Agent 的产出更贴近 AWS 惯用实践,而不是完全依赖模型自身的通用知识。

2. 安装这个 Skill 会自动把资源部署到我的 AWS 账号吗?
不会。Skill 本身不执行部署。部署由你在本机运行的 AWS CDK CLI 完成,是否部署完全由你决定。

3. 可以同时安装到多个 Agent 中吗?
通常可以。Skill 只是文件形式的指令集,复制或安装到不同 Agent 各自的 Skill 目录中即可。具体是否支持取决于各 Agent 的机制。

4. 为什么安装后 Agent 好像没有识别到 Skill?
常见原因是 Skill 存放路径不符合该 Agent 的约定、Agent 未重启、或需要显式触发。可以先让 Agent 自检 Skill 列表,再确认加载方式。

5. 中国大陆使用是否有网络要求?
Skill 本身不强制联网。若你的任务需要访问 AWS 文档或拉取依赖,网络可达性由你的环境决定,与 Skill 本身无强绑定。

6. 可以关闭 Agent 的 Shell 权限只用它生成代码吗?
可以。若只需要生成或审查 CDK 代码,可关闭自动执行 Shell 的权限,由你手动运行 cdk synth、cdk deploy 等命令。

7. Skill 会和 Terraform、Pulumi 等其他 IaC 工具混用吗?
该 Skill 面向 AWS CDK,不针对其他 IaC 工具设计。若项目使用 Terraform 或 Pulumi,这个 Skill 并不适用。

Skill 更新日志

版本列表
无版本号
fix(aws-startup-advisor): recommend AgentCore over classic Bedrock Agents (#340) Ported from awslabs/startups#263. The architect-for-startups Strands decision guide still recommended classic Bedrock Agents for managed multi-agent orchestration; that service entered maintenance mode and closed to new customers on 2026-07-30. Point the guide at Strands multi-agent primitives on AgentCore Runtime instead, and replace the outdated TypeScript container-only claim with the direct-code vs container deployment choice. Co-authored-by: Logan Kleier
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docs(payments): document WorkloadIdentity name lowercasing IAM mismatch + CloudTrail debug fallback (#338) Co-authored-by: Khusbu Mishra
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feat(aws-startup-advisor): add AWS Startup Advisor plugin (#329) * feat(aws-startup-advisor): add AWS Startup Advisor plugin Ports the AWS Startup Advisor plugin from its upstream source repository into this repo as a native, first-class plugin at plugins/aws-startup-advisor. Contents (893 new files): - 10 skills: agent-advisor, architect-for-startups, contextual-offers-for-startups, gcp-to-aws, heroku-to-aws, llm-to-bedrock, knowledge-base-for-startups, prompt-library, start-building-for-startups, startup-advisor - 7 agents, 4 scripts, 126 fixture files - Multi-host manifests: .claude-plugin/, .codex-plugin/, .cursor-plugin/ - Plugin README Re-homed to destination conventions: - Declares exactly one MCP server (the unified AWS MCP server); prose describing capabilities outside that server's 10 aws___* tools was brought in line with what it can actually do. - whitelist -> allowlist across 10 files, matching repo house style. - Stale cross-plugin path references rewritten to resolve at the new location. Schema $id URNs that use "migration-to-aws" as a stable namespace identity are deliberately unchanged. Repo-level registration: - Registered in .claude-plugin/, .agents/plugins/, and .cursor-plugin/ marketplace.json, and listed in README.md. Shared-config fix (.markdownlint-cli2.yaml): - The frontMatter regex "^---\s*$[\s\S]*?^---\s*$" never matched, because \s consumes newlines so \s*$ runs past the line end and the closing fence anchor never lands. markdownlint therefore linted YAML frontmatter as body content. Anchored it on explicit newlines instead. Without the fix the repo reports 549 errors across 442 locations, all inside frontmatter; with it, 0. The 1619 pre-existing files lint at 0 errors under both the old and new regex, so this is not a behavior change for existing content. * ci: exempt typing-extensions from the licence allowlist The dependency-review gate fails on plugins/aws-startup-advisor because typing-extensions 4.15.0 publishes the composite licence expression "Python-2.0 AND GPL-1.0-or-later AND Python-2.0 AND BSD-3-Clause AND Python-2.0 AND BSD-3-Clause AND 0BSD". The shared Amazon OSPO config is an allowlist, and every term in a composite expression must match, so the single unlisted GPL-1.0-or-later term fails the whole package. That term is an artifact of the historical Python licence text bundled in the package's LICENSE file, not an actual GPL grant -- typing-extensions is PSF-licensed. The package reaches this repo only transitively: jsonschema -> referencing, openai -> pydantic/anyio, and exceptiongroup. Scoped as narrowly as the action allows: - Licence-only. Vulnerability checks still apply to this package. - One named package, by purl. - Applied as an inline input, which the action merges per key over the config file, so the shared allow-licenses list is untouched and the config-file SHA pin is unchanged. The alternative was dropping the two uv.lock files that surface the transitive closure, which would have cost 918 pinned file hashes across the two script environments to work around a metadata false positive. * fix(aws-startup-advisor): drop unsupported "agents" key from plugin.json Claude Code 2.1.278 rejects `"agents": "./agents/"` in .claude-plugin/plugin.json, and an unknown key invalidates the whole manifest, so the plugin fails to load entirely. The key was introduced during the port and is not present anywhere else: not in the upstream manifest, and not in this plugin's .codex-plugin or .cursor-plugin manifests. No sibling plugin in this repo declares it either -- aws-agents uses `skills`/`mcpServers`, aws-core uses `hooks`. Nothing is lost by removing it: Claude Code auto-discovers the default agents/ directory, and all 7 agent files remain in place. Reported by Gen Li during migration testing. Note for follow-up: `mise run validate` passes both with and without this key -- lint:manifests and lint:spec (Agent Plugins v1.0.0) both accept a key that Claude Code rejects, so the loading failure was invisible to the repo's own gates. * feat(aws-startup-advisor): port upstream azure-to-aws skill and cache-only pricing Brings the plugin up to date with upstream changes that postdate the original port snapshot. New capability: - azure-to-aws (skill #4) — seven-phase Microsoft Azure to AWS migration over canonical Microsoft.* ARM resource types, with an opt-in generate gate and a what-if repricing workshop. Includes the azure-iac-terraform fixture corpus and its five deterministic asserters (Discover, Design, Clarify x2, Estimate). - skills/shared/ai/ and skills/shared/clarify/ canonical fragments (AI migration guardrails, design-ref harness, clarify assembly), mirrored byte-identical into each consuming skill's references/vendored/ tree. - heroku-to-aws/scripts/ — the Heroku report validator moves in beside the skill that uses it, out of the plugin-level scripts/ directory. - tf-best-practices — three ElastiCache policy fixtures plus the matching validator and security-posture rules. Cache-only pricing, applied consistently across every skill: - Documentation and regional-availability lookups go through the unified AWS MCP Server (aws___* tools). The plugin still declares exactly one MCP server. - No live pricing lookup. A service absent from the pricing cache resolves to "estimated" (a formula constant carrying a published rate, stated verbatim) or "unavailable" (excluded from totals with a warning) — never a guess. - No AWS Pricing Calculator integration; calculator_url is always null. The upstream azure-to-aws skill was authored on a branch predating the cache-only consolidation and merged after it, so it arrived still referencing the removed pricing and knowledge MCP servers. Every substitution here follows upstream's own gcp-to-aws conversion rather than a local invention; the three azure-only files with no gcp counterpart got the same mapping by hand. Two cross-references that the mismatch had left dangling are removed: the workshop calculator-link procedure and an MCP retry ladder that no longer exists. Registration and docs: - Azure added to the plugin README skill table and prose, the root README, and the Claude/Cursor marketplace descriptions and keyword lists (75 keywords, consistent across all four plugin manifests). - Skill descriptions re-trimmed under the 1024-character limit (azure-to-aws 1020, gcp-to-aws 989, heroku-to-aws 1000). Verified: mise run validate (manifests, skill parity, Agent Plugins v1.0.0) — pass; mise run lint:md over 2385 files — clean; gitleaks over both history and the working tree — no leaks; all five azure fixture asserters — pass; 44 vendored files byte-identical to their canonical sources. * feat(aws-startup-advisor): add report cost-figure crosscheck and harden prompt library Ports two upstream changes into the vendored plugin. Cost-figure crosscheck: the report validator now verifies that the dollar figures rendered in a migration or decision report match the estimate they came from, via data-cost-key HTML anchors. Adds the anchor spec to the gcp-to-aws and heroku-to-aws report templates, tags the golden fixtures, and makes the gcp decision-gate asserter pass --estimation-infra so the gate is actually exercised rather than skipped. Prompt library hardening: scopes servicequotas:RequestServiceQuotaIncrease to EC2 and SageMaker quota ARNs instead of "*", drops "curl -k" in favour of a verified TLS call, and reframes the security baseline kit as a starting point that needs review before production. Also extends the anchor requirement to azure-to-aws, which invokes the same shared validator but shipped no anchor guidance. Azure records current spend under current_costs.azure_monthly, which the validator does not map, so only the aws_monthly_balanced anchor applies there. * docs(aws-startup-advisor): tighten AWS terminology in reference content Ports the upstream terminology pass over the knowledge-base and architect reference material. Replaces collective descriptions of AWS ("the AWS ecosystem", "the AWS platform") with what is actually meant -- AWS services, the AWS community, the AWS Partner Network, or a specific named service -- and softens overclaimed outcomes ("ensures" -> "helps" / "is designed to", "guaranteed response times" -> "target response times"). Where the original wording sat inside a direct quotation, the quote is left intact and the surrounding sentence is reshaped instead, so no one is quoted saying something they did not say. Third-party product names, the startup ecosystem, and partner ecosystems are unchanged. Also switches the heroku-live-capture fixtures to RFC 2606 reserved example addresses. Heading markers differ from upstream in 14 of these files: this repo enforces markdownlint MD036, so emphasis-as-heading lines are real headings here. Prose content is identical to upstream. * docs(aws-startup-advisor): sync upstream docs refresh through 604df6f Ports five upstream source-repository PRs that landed after the previous sync at cd8fc31: - #301 advisor docs refresh: azure-to-aws corrects its phase count to 6 and states that Bicep, ARM, live `az` capture, and RDfA are planned follow-ups rather than supported today. - #333 uses an RFC 2606 reserved domain in the Provider invitation example instead of a live one. - #334 adds template-verification guidance before the CloudFormation Launch Stack shortcuts in the budgets article. - #335 replaces a named third party's personal email address with the Merge offer page and Help Center. - #336 adds a safety note to the AI-analytics article: credit and lending model output must support a qualified human reviewer and cannot be the sole basis for approval or denial. Upstream's `setup.md`, `advisor/README.md`, and `advisor/AGENTS.md` changes are out of scope for this port. Three files could not be taken byte-verbatim: this repo enforces markdownlint MD059 (descriptive link text) and MD036 (no emphasis as heading), which upstream does not, and faq.md documents installation from this repo rather than from the upstream source. Upstream's changed lines were applied into them individually; the residual divergence is unchanged at 26 lines, all of it those two lint rules plus that one re-homing. * fix(aws-startup-advisor): stop instructing a pricing-calculator link that is never produced Under cache-only pricing there is no AWS Pricing Calculator integration and `estimation_summary.calculator_url` is always `null`. Two files in each of gcp-to-aws and azure-to-aws still told the agent to render a link "per non-null calculator_url" and justified it with "AWS computes regional prices server-side there", which contradicts cache-only pricing outright: - references/phases/workshop/workshop-compare.md - references/shared/report-decision-core.md The non-null condition means a literal reading already emits nothing, so output is unaffected. The risk is the standing suggestion that a shareable calculator estimate exists and is expected here, which invites a fabricated calculator.aws URL or a claim that prices were computed server-side when they came from the bundled cache. Both now state that the field is always `null` and that no link is rendered, matching heroku-to-aws, which was already correct. This diverges from upstream deliberately. * docs: point AWS Startup Advisor install instructions at this repository Addresses both review comments on #329. The `aws-startup-advisor` entry in `claude-plugins-official` is a git-subdir source pinned to a different repository and subdirectory, so `/plugin install aws-startup-advisor@claude-plugins-official` installs that distribution rather than this one. Merging this PR updates this repository's marketplace but cannot change that external entry. The root README now gives this repository's marketplace route and notes what the official-marketplace name currently resolves to; the same correction is applied to the FAQ reference the skill serves to users. The plugin README previously deferred all installation to the root README's Quick start, whose standalone-skills command targets `aws/agent-toolkit-for-aws/skills`. None of these 11 skills live in that tree, so Kiro and fx users following it got no Startup Advisor. It now carries a plugin-specific command, verified to resolve all 11 skills and 852 files: npx skills add aws/agent-toolkit-for-aws/plugins/aws-startup-advisor/skills --skill '*' It also notes that the skills must be installed together, since `agent-advisor` delegates to `gcp-to-aws`, and that a standalone install does not configure the `aws-mcp` server from `.mcp.json`. * fix(aws-startup-advisor): stop naming the wrong skills in the generic phase workers Both generic phase workers opened by scoping themselves to "a DSL-driven migration skill (`gcp-to-aws` or `heroku-to-aws`)". That list is wrong in both directions: `gcp-to-aws` ships no `references/vendored/dsl/INTERPRETER.md` and never dispatches these workers, while `agent-advisor` and `azure-to-aws` do and went unnamed. The list was introduced by this port. Upstream reads "(migration-to-aws)" — the old plugin name — and re-homing it to this repo's skill names picked the wrong two. Dropping the list entirely rather than correcting it: the very next line says the worker is phase-agnostic and takes its phase from the dispatch context, so enumerating callers in the prompt is both inaccurate and pointless. --------- Co-authored-by: Bear Zietz
无版本号
fix(eventbridge): rename the new-bus CLI command to aws eventsv2 (#336) * fix(eventbridge): rename the new-bus CLI command to aws eventsv2 The CLI command for the new custom event buses is aws eventsv2. The skill wrote aws eventbridgev2 in every CLI example and in the prose that states the service's names, so an agent following it would run a command that does not exist. Renames all 25 CLI invocations and updates the naming prose: the CLI command and the endpoint host are eventsv2, the SDK clients remain eventbridgev2, and the IAM namespace remains events. The wrong-namespace warnings now name eventsv2: as the likelier mistake, since a reader copies it from the command they just ran. Also drops events:SystemMetadata/EventGroupId from the condition-key table in references/authorization.md. The service does not populate it, and a documented key that is never populated fails closed without a signal: a StringEquals Allow can never be satisfied and a StringNotEquals Deny always fires, neither raising an error. * bump event bus skill to version 3 * Updating skill version to 2
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docs(msk): Add ZooKeeper-to-KRaft guidance (#316) Document in-place migration availability and require agents to use the current Amazon MSK Developer Guide as the source of truth. Co-authored-by: a-lmillette Co-authored-by: anasstahr
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feat(aws-marketplace-skills): add aws-marketplace-metering skill (#333) Add a skill for AWS Marketplace usage-based (PAYG) metering: deploying a serverless metering integration (ResolveCustomer, BatchMeterUsage, EventBridge via SAM), and querying and debugging metering records, statuses, failures, and billing discrepancies. Covers Concurrent Agreements, multi-product routing, CloudTrail Event History, Seller Reports, per-Region metering, and IAM setup. Co-authored-by: geojomon Co-authored-by: anasstahr
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feat(eventbridge): add amazon-eventbridge-event-bus skill (#334) * feat(eventbridge): add amazon-eventbridge-event-bus skill * style(eventbridge): fix markdown lint violations Align the two dash list markers in SKILL.md with the file's asterisk style (MD004/ul-style), and promote three bold pseudo-headings in references/target-contract.md to level-3 headings (MD036). Content unchanged.
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docs(cloudwatch): update aws-observability to v6 and setting-up-cloudwatch-observability (#332) * docs(cloudwatch): update aws-observability to v6 and setting-up-cloudwatch-observability to v2 Mirrors CR-307493010 from AWSMCPSOPs (commit 69f5bd3) to public toolkit: - aws-observability: v5 → v6, updated description for router disambiguation, expanded routing guidance (scope guard, service-health step 0.5, must-state callouts), cloudwatchomni CLI/SDK rename throughout - setting-up-cloudwatch-observability: v1 → v2, sharpened description, expanded routing rules including GitHub-not-supported clarification - Removes references/azure-ingestion/ (top-level) and github-integration.md from setting-up-cloudwatch-observability (no longer in source) - Updates 21 reference files with cloudwatchomni CLI/SDK rename and content sync * fix(lint): fix markdown lint errors in cloudwatch skill files * fix(plugin): sync aws-core plugin aws-observability with core-skills * fix(spec): use metadata.version format for plugin-synced skill * fix(security): replace base64 pagination token example with placeholder
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feat(resilience-skills): add aws-fault-injection-service skill (#323) Adds a specialized skill for AWS Fault Injection Service (AWS FIS) covering experiment design, the actions catalog, the scenario library, experiment lifecycle and monitoring, multi-account experiments, the experiment IAM role, and blast-radius safety. Contents: - SKILL.md with request routing and a safety-first workflow - references/fis-concepts.md: templates, actions, targets, stop conditions - references/fis-workflow.md: end-to-end authoring and run procedure - references/fis-actions-reference.md: action catalog and selection guidance - references/fis-api-reference.md: CLI and API surface - references/fis-security.md: experiment IAM role and least-privilege patterns Placed under resilience-skills alongside aws-resilience-lifecycle and recovery-controller-setup, which the skill description cross-references. Co-authored-by: Giuseppe Randazzo Co-authored-by: anasstahr
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feat(cloudwatch): update aws-observability to v5 and add setting-up-cloudwatch-observability skill (#326) * feat(cloudwatch): update aws-observability skill to v5 Updates the aws-observability skill to v5. Extends coverage to include CloudWatch Omni (Application Observability): SQL over logs/traces, PromQL over metrics, views, dashboards, alerts, context graph, programmatic access (API/SDK/CLI/CFN), and agent-quality evaluation on OTel traces. Restructures references and scripts into cloudwatch/ and cloudwatch-omni/ subdirectories. Tested with: Claude Code, Kiro, Q CLI. * feat(cloudwatch): add setting-up-cloudwatch-observability skill Adds the setting-up-cloudwatch-observability skill (v1). Covers first-time setup of a CloudWatch Application Observability (Omni) Space or Domain: access grants and profiles, ingestion endpoint provisioning, ADOT SDK instrumentation for Python, Node.js, Java, .NET on EC2/ECS/EKS/Lambda and AI agents (Strands, LangChain, LangGraph, CrewAI, OpenAI Agents, Vercel AI), Azure telemetry ingestion via the CloudWatch agent, and DevOps Agent / Slack integration. Text-only skill (no executable code); security-reviewed: Guardian PASS. Tested with: Claude Code, Kiro, Q CLI. * fix(lint): fix markdown lint errors in cloudwatch skill files * fix(lint): fix remaining markdown lint errors * fix(plugin): sync aws-core plugin aws-observability with core-skills * fix(security): replace base64 pagination token example with placeholder
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docs(aws-serverless): document SnapStart container image support (#324) SnapStart now supports the container image deployment format (in addition to ZIP) for Java 11+, Python 3.12+, and .NET 8+, including AWS Lambda base images and custom base images. Adds a Container images note linking the runtime-hooks and SnapStart uniqueness docs. Bumps skill version 2 -> 3.
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chore: update CODEOWNERS (#322)
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docs(payments): Coinbase Marketplace subscription, connector statuses, and authorizationUrl open guidance (#320) - Marketplace subscription (Coinbase-wide): why it's required, the consolidated-billing + SubscriptionRequiredException (403) statement, and the subscribe steps (logged-in AWS Console -> View purchase options -> review terms -> Subscribe). - Step 4 recovery for a SubscriptionRequiredException at deploy: the CLI provisions manager+connector in one CloudFormation stack, so the failure rolls back and deletes the PaymentManager; recheck via GetPaymentManager and, if ResourceNotFoundException, restart from Step 3a -> 3b -> deploy. - Connector status handling: add PROVISIONING (transient) and AWS_MARKETPLACE_SUBSCRIPTION_REQUIRED (terminal -> subscribe then recreate) to the poll loop and the debugging entry, alongside READY / AUTHENTICATION_EXPIRED / AUTHENTICATION_FAILED. - authorizationUrl handling: correct that the AgentCore CLI does NOT auto-open the URL today. The agent drives it: on the developer's machine open via the OS opener (open/xdg-open/start = navigate, not a fetch); headless/remote/CI -> print the URL for the developer. Never curl/HEAD/WebFetch/preview it (open != fetch). Co-authored-by: Khusbu Mishra
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feat(aws-core): add aws-well-architected-review skill (#319) Adds a Well-Architected Framework review skill under skills/core-skills/ and bundles it with the aws-core plugin. The skill reviews a workload across all six pillars. It discovers the framework question and best-practice inventory from the live AWS documentation rather than embedding a snapshot, then analyzes code, IaC, and configuration to produce evidence-backed findings with best-practice ID citations and Eisenhower-prioritized remediation. It supports full, quick, pillar-scoped, score, and lens-specific review modes. - Add the skill under skills/core-skills/aws-well-architected-review/ (9 files, text-only) and a byte-identical bundled copy under plugins/aws-core/skills/. - Add a row to the aws-core plugin README skills table. - Expand the aws-core description and keywords in the four plugin manifests and the two marketplace indexes so Well-Architected queries surface the plugin.
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feat(aws-cloudformation): Add dedicated CloudFormation validation tool guides (#318) * feat(aws-cloudformation): Add dedicated CloudFormation validation tool guides * Remove deprecated scripts * Remove unneded metadata * Set version as string * fix lint issues
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docs(agents-build): document Tempo/MPP networks, funding, and debugging (#317) The payments.md MPP section covered the wire protocol but the Supported Networks table and funding steps were x402-only (Base Sepolia + Circle). Agents wiring "add MPP payments" were pointed at the wrong network/asset to fund a Tempo endpoint. Adds, grounded in the AgentCore Payments ProcessPayment 4XX/5XX runbooks: - MPP networks/providers/funding subsection: Tempo mainnet (eip155:4217) and Moderato testnet (eip155:42431), StripePrivy-only (Coinbase cannot pay Tempo), auto-detected from the MPP 402, canonical stablecoin pathUSD - Step 7 funding branch for Tempo Moderato via the Tempo faucet - MPP debugging rows: MPP_ACCESS_NOT_ALLOWLISTED, MPP_EVM_NON_CANONICAL_USDC, TEMPO_INSUFFICIENT_BALANCE/memo, Coinbase-Tempo-unsupported - Clarifying note that the x402 Chains table excludes Tempo (MPP-only) Co-authored-by: Raju Ansari
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feat(aws-ai-ml): add inference optimization to model-deployment (#315) * feat(aws-ai-ml): add inference optimization to model-deployment Adds a new capability to the aws-ai-ml skill and brings the rest of its reference content up to date, applied identically to both copies. ## Inference optimization model-deployment could generate deployment code but had nothing to say about what to deploy onto. The agent either asked the user for an instance type or picked one from its own priors, with no way to check the choice against measured behaviour. A new optimization reference covers three workflows: benchmark measure latency and throughput on an existing endpoint, including replaying captured production traffic rather than synthetic load recommend run a recommendation job and read back the published hosting configurations, instead of naming an instance type from memory compare put candidate configurations side by side on the same workload references/model-deployment/references/optimization/benchmark-workflow.md references/model-deployment/references/optimization/benchmarking-guidance.md references/model-deployment/references/optimization/recommendation-workflow.md references/model-deployment/references/optimization/recommendation-options.md references/model-deployment/references/optimization/recommendation-deploy.md references/model-deployment/references/optimization/interpreting-results.md references/model-deployment/references/optimization/huggingface-to-s3.md with three matching notebook templates: references/model-deployment/code_templates/optimize-benchmark.py references/model-deployment/code_templates/optimize-recommendation.py references/model-deployment/code_templates/optimize-huggingface-to-s3.py The templates comment out their `%pip install` setup line and carry it as `# NOTEBOOK_ONLY`, matching the five existing deploy-*.py templates. A bare cell magic is not valid Python, so an uncommented one cannot be parsed by any tool that reads the template as source; the marker is what carries the notebook-only meaning, per code_output_guide.md. ## Region availability references/planning/references/region-availability.md is new. Serverless model customization and inference optimization are not available in every region, and planning previously discovered that only by failing partway through. The reference lets planning fast-fail on an unsupported region before any resource is created. ## Reference content sync The remaining files are accumulated updates to existing references — model-selection determinism (deterministic ordering of model lists, and a soft-term to exact-value mapping so "small" resolves predictably), a finetuning region gate, and updated deployment guidance. No workflow was removed. metadata.version is bumped to "4" to cover the content changes. Text-only content plus notebook templates; no new executable scripts are added. Co-authored-by: Jicheng Wang * fix(aws-ai-ml): resolve markdownlint errors and sync canonical copy for plugin parity --------- Co-authored-by: aws-sssjwang Co-authored-by: Roman Shevchuk
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feat(skills): add amazon-neptune skill (#219) * feat(skills): add amazon-neptune skill Adds guidance for Amazon Neptune Database and Neptune Analytics covering graph and knowledge-graph workloads: engine selection (Database vs Analytics), fraud rings, identity resolution, recommendations, agentic memory, GraphRAG, Gremlin / openCypher / SPARQL, Neo4j migration, connectivity, performance, and troubleshooting. Mutating operations require explicit user confirmation; destructive operations (delete, reset-graph, failover, major upgrade) are refused and redirected to change control. * chore(amazon-neptune): bump skill version to 3 for production release * chore(amazon-neptune): set skill version to 1 for production release --------- Co-authored-by: Victor Servin Co-authored-by: Victor Servin Co-authored-by: Arne Wouters
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fix(aws-agents): correct payment manager name rule in payments reference (#312) The payments reference stated that payment manager names allow underscores. They do not: manager names must be alphanumeric only. Co-authored-by: Tushar Kapoor
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fix(aws-starter-rules): refine wording for cross-region resource creation (#308) Co-authored-by: Mingda Ma
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fix(aws-agents-for-devsecops): missing S3 bucket ownership verification (#305) * Merge commit from fork The Security Agent skills derive a deterministic scan bucket name (security-agent-scans--) from the non-secret caller account ID. Because S3's namespace is global, a third party can pre-register the predictable name; the skills validated the bucket by existence only, so source archives (containing .env, *.pem, terraform.tfstate) could be uploaded into an attacker-owned bucket. - setup-security-agent: head-bucket now asserts --expected-bucket-owner and a 403 on a foreign-owned bucket is fatal; create-bucket treats BucketAlreadyExists as fatal (distinct from BucketAlreadyOwnedByYou) and re-asserts ownership after creation before any use. - scanning / diff-scanning / threat-modeling: every 'aws s3 cp' upload now passes --expected-bucket-owner so writes fail closed if the bucket is not owned by the caller. - Added ownership Rules and troubleshooting notes. Mirrors awslabs/mcp#4490 (MCP server path) for the Claude plugin skills. * Bump plugin version --------- Co-authored-by: Arne Wouters Co-authored-by: Arne Wouters
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docs: add fx setup to the quick start and skills guides (#306)
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feat(aws-containers): add ECS Action Logs guidance (#304) Co-authored-by: Matthew Goodman
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feat: updated cdk skill with new info about faster deployment methods (#303) Co-authored-by: Shadowcat567
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feat(managing-amazon-msk): add custom domain name to Amazon MSK skill (#302) * feat(managing-amazon-msk): add custom domain name skill * fix linting issue * Fixing all reported linting errors
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docs(setup-instructions): split troubleshooting from onboarding runbook and streamline (#301) * docs(setup-instructions): split troubleshooting from onboarding runbook and streamline Behavior-preserving refactor of the agent onboarding runbook. No install or configuration command changes; same steps, order, and end state. - Move per-step error tables into a new setup-troubleshooting.md, linked from each step in setup.md. - Consolidate Parameters and Dependencies into a single 'Before you start' block and add a 'How to run this file' note stating one autonomy mode (gather inputs up front, then run; pause only for the browser aws login and the interactive aws configure agent-toolkit wizard). - Add a note that the piped AWS CLI installer can be downloaded and inspected first, linking the official install page. - De-duplicate the generated aws-mcp MCP entry: describe the env/profile edit the agent must add (AWS_MCP_PROXY_PROFILES) instead of restating the full JSON the wizard writes, reducing drift. setup.md 305 -> 222 lines; error content preserved in setup-troubleshooting.md. * docs(setup-instructions): add back-links from troubleshooting to each step Add a 'Back to Step N' link at the top of each troubleshooting section (and General error handling) pointing to the corresponding step in setup.md, so navigating between a failed step and its resolution is a near-zero-cost round trip. Addresses the one dimension where the single -file layout was easier (0-hop inline lookup). No error content changed. * fix(setup-instructions): stop Step 7 from overwriting project rules files Fixes #282. Step 7 previously told the agent to save the AWS rules to CLAUDE.md / AGENTS.md (and .cursor/rules, .kiro/steering), which overwrites the project's own agent instructions — a quiet, sometimes unrecoverable data loss. Step 7 now creates the file only if absent, otherwise appends the rules under idempotent markers (replacing only the marked block on re-run), and asks the user when it cannot tell whether appending is safe. Also adds a precedence note to rules/aws-agent-rules.md and rules/aws-starter-rules.md: project instructions take precedence where they conflict with the AWS rules. --------- Co-authored-by: Devanshu Bhimwal
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fix(aws-core): make secret-safety hook interpreter cross-platform (#207) (#284) The PreToolUse hook hardcoded `python3`, which on Windows resolves to the Microsoft Store app-execution-alias stub (python.org installs only `python.exe`). The stub exits non-zero on every Bash call, producing a noisy hook-error banner and — worse — causing the secret-safety guard to silently fail open so plaintext secret fetches are no longer blocked. Replace the hardcoded interpreter in both hook entries with a POSIX fallback chain that tries `python3`, then `python`, then `py -3`, keeping the single-command-string form required for Codex compatibility (#98). stderr on the first two attempts is suppressed so the Store-stub message is not surfaced when a working interpreter is found. Verified locally: guard deny/allow matrix unchanged (9/9), and a stubbed `python3` exiting non-zero now falls through to `python` and still denies. Known limitation: the `sh -c` chain does not cover Windows without Git Bash (PowerShell); the silent fail-open warning is left as a follow-up.
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fix(asm-exec): resolve secrets via run_script (fixes #293) (#296) * fix(asm-exec): resolve secrets via run_script aws___call_aws was removed on 2026-08-31, so asm-exec resolved no secrets: _resolve_via_mcp called a tool that no longer exists. Port the MCP path to aws___run_script, which runs a short server-side script calling call_boto3('secretsmanager', 'GetSecretValue', ...) and returns the response as the script's return_value. Also fix two defects that made the failure impossible to diagnose: - The transport timeout was hardcoded to 10s, but the run_script boto3 round trip measures ~13s, so every attempt timed out. Default it to 30s and make it configurable via ASM_EXEC_MCP_TIMEOUT. - _resolve_via_mcp collapsed every exception into one "Failed to resolve" string. Report the specific cause (removed/renamed tool, timeout, unreachable endpoint, denied permission, missing secret) on stderr, without ever including the secret value. _extract_secret_string now also traverses the run_script envelope's return_value key (legacy result/output keys kept for back-compat). Embed call_boto3 arguments with repr so secret ids and version stages cannot break out of the generated script. Update SKILL.md to match. Fixes #293 * refactor(asm-exec): drop unused _mcp_post timeout parameter Address review feedback on #296: no caller passes a timeout, so the parameter was dead. _mcp_post reads the module-level MCP_TIMEOUT directly, keeping the timeout configurable via ASM_EXEC_MCP_TIMEOUT. --------- Co-authored-by: Bidesh Thapaliya
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feat: 90-minute async/ESM timeout guidance for aws-lambda-managed-instances (#300) Documents the 90-minute (5400s) Lambda function timeout for asynchronous and event-source-mapping (SQS, Kinesis, DynamoDB Streams) invocations on Managed Instances: Quick Decision duration signal, Configuration/Limits/Operations updates, long-duration invocation caveats, and a long-running-networking section. Updates the sqs-processor example to illustrate the Timeout and SQS visibility-timeout coupling.
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feat(sms-voice): add aws-sms-voice skill (#298) Co-authored-by: Daniela Espino

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