Specialized skill for building production-ready serverless applications on AWS. Covers Lambda functions, API Gateway, DynamoDB, SQS/SNS event-driven patterns, SAM/CDK dep — from…
AWS serverless and event-driven architecture expert based on Well-Architected Framework. Use when building serverless APIs, Lambda functions, REST APIs, microservices, or — from…
Review AWS Lambda-centered serverless workloads for production readiness across execution roles, event sources, retries, DLQs/destinations, concurrency, idempotency,…
Patch AWS serverless rollout definitions across Lambda, API Gateway, EventBridge, SQS, SNS, event source wiring, aliases, versions, and deployment config.
Onboards RCS Business Messaging and Notify OTP via the pinpoint-sms-voice-v2 AWS CLI. Covers creating a branded RCS test agent (logo, banner, rich cards, suggested replies),…
Implements Amazon Simple Notification Service (SNS) for building and managing message-driven applications through an event-driven architecture.
Receive and verify AWS SNS (Amazon Simple Notification Service) webhooks over HTTP/HTTPS. Use when setting up an SNS HTTP subscription endpoint, confirming a subscription…
Manages WhatsApp messaging through AWS End User Messaging Social. Covers managing templates (create, update, delete, library), sending messages (utility/marketing/auth templates…
Expert AWS solution architecture for startups focusing on serverless, scalable, and cost-effective cloud infrastructure with modern DevOps practices and infrastructure-as — from…
Expert AWS solution architecture for startups focusing on serverless, scalable, and cost-effective cloud infrastructure with modern DevOps practices and infrastructure-as — from…
Generate AWS Budgets, a Cost Anomaly Detection monitor and a sandbox SCP that denies expensive services, then check an exported Cost Explorer report for spikes.
Executes automated diagnostics using the AWS Systems Manager Automation API and SSM Documents. Collects system metrics via the CloudWatch GetMetricData API and correlates with AWS…
Execute AWS Systems Manager Automation runbooks and Run Command documents using the SSM API and boto3.
Authenticate to AWS using Single Sign-On (SSO). Use when AWS CLI operations require SSO authentication or when SSO session has expired.
Automatically refresh AWS SSO authentication tokens when encountering expiration errors. Use when AWS MCP tools fail due to expired SSO sessions.
Authors and edits AWS Step Functions state machines: writes Amazon States Language (ASL) in JSONata, and chooses and structures state types (Task, Choice, Map, Parallel, Pass,…
Selects, investigates, and compares AWS object, file, and block storage services, and answers cost, performance, configuration, security, and troubleshooting questions about…
Build AI agents with Strands Agents SDK. Use when developing model-agnostic agents, implementing ReAct patterns, creating multi-agent systems, or building production agents on…
Use when working with AWS Strands Agents SDK or Amazon Bedrock AgentCore platform for building AI agents.
Coordinates remediation playbooks with AWS Systems Manager Automation, Incident Manager, and CloudWatch alarm context for repeatable operational recovery.
Terraform on AWS best practices, infrastructure as code patterns, and security compliance with Checkov
Triage AWS tickets and alerts using priority, owner, evidence, incident context, escalation path, OpsCenter, health signals, and safe next steps.
AWS架构设计、部署、成本优化,规避资源浪费与安全陷阱,降低云上运维成本。Architect, deploy, and optimize AWS infrastructure avoiding cost explosions。触发关键词: web, deploy, architect, avoiding, aws, optimize,…
Performs code upgrades, migrations, and transformations using the AWS Transform (ATX) CLI. Use when upgrading language versions, migrating AWS SDKs, migrating frameworks (Angular,…
Troubleshoot AWS services using tool-first access (via MCP when available), falling back to AWS CLI when necessary.
Migrate from AWS SDK for Java v1 (com.amazonaws) to v2 (software.amazon.awssdk). Use when projects need to move away from deprecated AWS SDK v1 to the modern v2 API.
AWS account の IAM API が MFA 必須 policy で弾かれる場面の診断と aws-vault 設定。`sts:GetCallerIdentity` は通るのに `iam:*` が `InvalidClientTokenId` で拒否されるとき、または FIDO2 passkey で MFA が CLI から使えないとき。
AWS Well-Architected Sustainability Pillar review. Checks energy efficiency, resource optimization, and sustainable practices in IaC code.
Review AWS workload cost posture against the Well-Architected Framework Cost Optimization Pillar. Covers cost visibility, tagging compliance, commitment coverage, rightsizing,…
Review AWS workload reliability posture against the Well-Architected Framework Reliability Pillar. Covers service quotas, workload architecture, change management, backup and DR…
公众号贴图｜九宫格｜多图推送｜图片消息｜表情包 — 贴图与多图推送：从创意构思、AI 生图到公众号图片消息发布全流程，含九宫格自动排布、多图压缩、组图打包。面向公众号运营、自媒体、IP 账号。触发词：「贴图」「多图推送」「发组图」「图片消息」「九宫格」「做一组图」「图片帖子」「发几张图」「不写正文发图」「只发图不写字」。是文章内配图/封面请走…
AWS Well-Architected integration. Manage data, records, and automate workflows. Use when the user wants to interact with AWS Well-Architected data.
Perform an AWS Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.
Use when planning, implementing, or operating AWS workloads that call OpenAI APIs, including architecture, security, deployment, and troubleshooting.
Use when selecting the AWS compute primitive for a workload and designing its load balancing, autoscaling, and deployment mechanics after the network/identity foundation exists…
To run an exact AWS CLI command, execute a validated `aws ...` command for direct AWS operations when you already know the precise service and parameters; use instead of…
To get possible AWS CLI commands from a natural-language request, suggest candidate `aws ...` commands when the exact service, operation, or syntax is unclear; use before call-aws.
AI-powered E2E web testing — eyes and hands for AI coding tools. Declarative YAML scenarios, Playwright execution, visual matching (OpenCV + OCR), platform auto-detection…
Hero-section pipeline for building Awwwards/FWA-tier hero sections. Extracts design direction from reference images, provides six hero architectures with implementation…
Below-the-fold landing page sections pipeline. Companion to awwwards-hero. Covers feature showcases, social proof, pricing, process/how-it-works, case studies, stats/metrics, CTA…
Use when writing C++ code with `axllm` for agent tracing, centralized and multi-tenant usage accounting, action logs, runtime diagnostics, replay, and production debugging.
Use when writing C++ code with `axllm` for named deployment profiles, generic provider clients, model selection, OpenAI-compatible calls, Responses, Gemini, Anthropic, routers,…
Use when writing C++ code with `axllm` for flows, nodes, program graphs, nested programs, dynamic options, caching, and optimizer components.
Use when debugging k8s-related issues, NATS IPC problems, HTTP IPC problems, workspace release failures, chat UI development iteration, or any issue in the sandbox/host/agent…
Use when writing Go code with `github.com/ax-llm/ax/packages/go` for agent tracing, centralized and multi-tenant usage accounting, action logs, runtime diagnostics, replay, and…
Use when writing Go code with `github.com/ax-llm/ax/packages/go` for named deployment profiles, generic provider clients, model selection, OpenAI-compatible calls, Responses,…
Use when writing Go code with `github.com/ax-llm/ax/packages/go` for flows, nodes, program graphs, nested programs, dynamic options, caching, and optimizer components.
Use when writing Java code with `dev.axllm:ax` for agents, child delegation, tools, MCP, citations, persistent playbook learning, stage instructions, runtime state, final typed…
Use when writing Java code with `dev.axllm:ax` for deciding between context maps, trajectory context policy, offline optimization (ACE/GEPA), and memory recall for long-context…
Use when writing Java code with `dev.axllm:ax` for agent memory, recall callbacks, dynamic skill discovery, loaded-skill state, and used-skill tracking.
Use when writing Java code with `dev.axllm:ax` for agent tracing, centralized and multi-tenant usage accounting, action logs, runtime diagnostics, replay, and production debugging.
Use when writing Java code with `dev.axllm:ax` for agent optimization, evaluators, judges, optimizer artifacts, BootstrapFewShot, and GEPA.
Use when writing Java code with `dev.axllm:ax` for RLM executor loops, AxCodeRuntime sessions, runtime envelopes, process runtimes, and optional runtime profiles.
Use when writing Java code with `dev.axllm:ax` for named deployment profiles, generic provider clients, model selection, OpenAI-compatible calls, Responses, Gemini, Anthropic,…
Use when writing Java code with `dev.axllm:ax` for audio input/output, OpenAI Responses audio mapping, realtime event folding, and generated package audio examples.
Use when writing Java code with `dev.axllm:ax` for flows, nodes, program graphs, nested programs, dynamic options, caching, and optimizer components.
Use when writing Java code with `dev.axllm:ax` for AxGen programs, forward calls, indexed multi-sampling, result pickers, streaming, tools, assertions, traces, usage, and output…
Use when writing Java code with `dev.axllm:ax` for GEPA, Pareto tradeoffs, reflection clients, metric budgets, optimizer state, and artifacts.
Use when writing Java code with `dev.axllm:ax` for using the generated Ax package, factory functions, package docs, examples, and API reference.
Use when writing Java code with `dev.axllm:ax` for the playbook() context-engineering surface, agent-bound verified evolution, run-end learning, online updates, and rendering a…