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277 results for "aws"

aws-penetration-testing

aws-penetration-testing

47Ksecurity

Provide comprehensive techniques for penetration testing AWS cloud environments. Covers IAM enumeration, privilege escalation, SSRF to metadata endpoint, S3 bucket exploitation, Lambda code extraction, and persistence techniques for red team operations.

sickn33 avatarsickn33
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aws-skills

aws-skills

47Kdevops-cloud

AWS development with infrastructure automation and cloud architecture patterns

sickn33 avatarsickn33
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aws-serverless

aws-serverless

46Kdevops-cloud

Specialized skill for building production-ready serverless

sickn33 avatarsickn33
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aws-cdk-python-setup

aws-cdk-python-setup

38Kdevops-cloud

Setup and initialization guide for developing AWS CDK (Cloud Development Kit) applications in Python. This skill enables users to configure environment prerequisites, create new CDK projects, manage dependencies, and deploy to AWS.

github avatargithub
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hf-cloud-aws-context-discovery

hf-cloud-aws-context-discovery

11Kdevops-cloud

Discover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task. Use this skill before any other AWS work — deploying to SageMaker, creating resources, calling AWS APIs, or anything that touches an AWS account. Use it especially when the user has not specified a region or profile explicitly, when they say things like "use my AWS account", "deploy to AWS", "use my profile", or when about to make any AWS CLI or SDK call. Never guess the region or account ID — always use this skill to read it from the local configuration first.

huggingface avatarhuggingface
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dsql

dsql

9.7Kdatabase

Deprecated compatibility redirect for Aurora DSQL guidance. Use when a request concerns DSQL, Aurora DSQL, distributed SQL, DSQL schemas, migrations, queries, authentication, performance, or application development.

awslabs avatarawslabs
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swiftui-pro

swiftui-pro

4.2Kdesign-ui

全面审查 SwiftUI 代码,确保遵循现代 API、可维护性和性能的最佳实践。在阅读、编写或审查 SwiftUI 项目时使用。

twostraws avatartwostraws
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aws-well-architected-review

aws-well-architected-review

2.8Kresearch-knowledge

Performs a full AWS Well-Architected Framework review evaluating every framework question across all pillars discovered from the live AWS documentation by analyzing code, IaC, and configurations to produce evidence-backed findings with Eisenhower-prioritized remediation. Supports full reviews (every framework best practice with BP ID citations), quick reviews (question-level), pillar-scoped reviews, score-mode reviews (a maturity scorecard with per-pillar scores and filtered findings), and lens-specific reviews using lenses discovered from the live AWS documentation. Triggers on mentions of Well-Architected review, WA review, WAR, pillar assessment, architecture review across pillars, workload assessment, cloud readiness evaluation, or a Well-Architected score, grade, or scorecard request. Does not apply to single-pillar deep-dives, learning WA concepts, ADRs, or migration readiness assessments.

aws avataraws
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aws-sms-voice

aws-sms-voice

2.8Ksecurity

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), adding verified testers, and sending/receiving the first RCS message; and configuring AWS End User Messaging Notify to send one-time-passcode (OTP) verification codes through AWS-managed phone numbers without buying a number or completing carrier registration. Also discovers which registration type a country requires from live API definitions and runs the universal registration lifecycle (create, derive fields, fill, submit, recover from denial, resubmit) shared by 10DLC, toll-free, short code, sender ID, RCS country launch, and Notify tier upgrade. Applicable to RCS agent setup, RCS message send/receive, Notify OTP configuration, verification-code delivery, registration requirements by country, and registration submission. Does not cover WhatsApp (see aws-social-messaging).

aws avataraws
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agents-pay

agents-pay

2.8Kmcp-integrations

Use when THIS agent needs to pay for x402-protected content at runtime: hitting a paywall mid-task, settling it via AgentCore Payments, and applying operator-defined spend limits. Covers payment setup, policy, session budgets, and troubleshooting. Triggers on: "my agent hit a 402 while calling an API", "a tool call returned 402 Payment Required", "my agent needs to pay for x402-protected content", "let the agent pay for content, capped at $5 per session", "set a spend limit for the agent", "ProcessPayment failed", or "why did my agent refuse to pay". Not for BUILDING payment capability for end users, including wallets and framework middleware; use agents-build and references/payments.md. For non-paid APIs via Gateway use agents-connect. For inbound auth use agents-harden. For project scaffolding use agents-get-started.

aws avataraws
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networkfirewall

networkfirewall

2.8Kdevops-cloud

Configures AWS Network Firewall, the managed stateful VPC firewall: deploying a firewall and routing traffic through its endpoints; centralizing inspection for many VPCs with a transit gateway-attached firewall that keeps stateful flows symmetric across Availability Zones; filtering outbound traffic by domain name; logging and rule tuning; TLS inspection with ACM certificates; writing Suricata rules; managing rules as CloudFormation/IaC; blocking an indicator mid-incident; migrating off a third-party firewall appliance; and diagnosing dropped traffic. Applicable when the user wants to inspect or filter VPC traffic at Layer 3 and 4, allow or block outbound domains, manage firewall rules as IaC, or decrypt TLS. Not applicable for AWS WAF Layer 7 rules (waf skill), Gateway Load Balancer appliance inspection (gatewayloadbalancer skill), Route 53 Resolver DNS Firewall (route53 skill), or transit gateway route tables and appliance-mode attachments (transitgateway skill).

aws avataraws
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amazon-neptune

amazon-neptune

2.8Kbackend-api

Provides authoritative guidance on Amazon Neptune Database and Neptune Analytics for graph, knowledge-graph, and relationship-heavy workloads — fraud detection / fraud rings, agentic memory / chatbot context across sessions, recommendations, identity resolution, Gremlin / openCypher / SPARQL queries, supernode / slow traversal, Neo4j to Neptune migration / APOC compatibility, Neptune Database vs Analytics engine selection, PageRank / community detection, GraphRAG, and connectivity from Lambda / EC2 / applications. Creates and modifies Neptune Database clusters/instances and Neptune Analytics graphs on explicit user confirmation; blocks destructive operations (delete, reset-graph, failover, major upgrade) and redirects to change-control.

aws avataraws
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aws-database

aws-database

2.8Kresearch-knowledge

Routes any task involving AWS databases — choosing, comparing, recommending, getting started with, or operating a database — to the correct service-specific skill. Supersedes general training-data knowledge with post-training service updates, corrected limitations, and decision procedures for relational (Aurora, DSQL, RDS), key-value (DynamoDB), wide-column (Keyspaces), document (DocumentDB), graph (Neptune), time-series (Timestream), and in-memory/caching (ElastiCache, MemoryDB) workloads. Activates when a user describes building an application on AWS that will store, retrieve, or manage data, even if they do not mention 'database' explicitly.

aws avataraws
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managing-amazon-kinesis-data-streams

managing-amazon-kinesis-data-streams

2.8Kbackend-api

Operates Amazon Kinesis Data Streams (KDS). Covers streaming tables and Amazon S3 delivery - serverless, fully managed delivery from a KDS stream to Apache Iceberg tables on S3 Tables or to general-purpose S3 buckets. Includes channel setup, IAM, schemas, output key templates, CloudWatch metrics and alarms, DLQ handling, quotas, and troubleshooting. For all other KDS topics and questions, search AWS documentation and blogs instead. Triggers: Kinesis Data Streams, KDS, streaming tables, stream to S3, stream to Iceberg, stream to S3 Tables, KDS delivery, KDS channel, CreateChannel, data channel, data freshness, dead-letter queue, KDS lakehouse, serverless Kinesis delivery, Firehose alternative for KDS, zero-ops Kinesis to S3. DO NOT USE for Kinesis Data Firehose, Kinesis Video Streams, or Managed Service for Apache Flink — use dedicated skills or search documentation instead.

aws avataraws
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amazon-workspaces-agent-access

amazon-workspaces-agent-access

2.8Ksecurity

Connects AI agents to remote Windows desktop applications on Amazon WorkSpaces Applications (AppStream 2.0) through the managed Agent Access MCP server, and guides reliable desktop automation. Covers connecting an agent to the MCP endpoint (SigV4, streaming URL, and Active Directory SAML/Domain Join), BLOCKING vs POLLING connect modes, the computer-use tools (screenshot, click, type, key, scroll), screenshot-budget and action-batching discipline, MCP tool forwarding (forwarded___ tools), session lifecycle and expire-on-delete, and troubleshooting connection errors. Use when building or debugging an agent that drives a remote Windows desktop or GUI application via WorkSpaces Applications / AppStream — including "dcv session not ready", "client_disconnected", 400 signing-region, POLLING/connection_status, SAML assertion, or forwarded tool questions. Not for Amazon WorkSpaces Personal/Core virtual desktops or general AppStream fleet administration unrelated to agent access.

aws avataraws
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amazon-ec2-image-builder

amazon-ec2-image-builder

2.7Ksecurity

Creates and automates custom image builds with EC2 Image Builder - Linux, Windows, and macOS AMIs, and container images to ECR. Covers the build IAM role, Amazon-managed and custom components, image recipes, infrastructure and distribution configuration (launch templates, SSM parameters, other Regions), one-off builds, recurring scheduled pipelines for golden AMI automation and OS patching, custom image workflows, and diagnosing failed builds. Applies when creating, automating, or scheduling AMI or container image builds with Image Builder, or when debugging a failed build. Not for launching instances from existing AMIs, AMI lifecycle/retirement, or general EC2 fleet management.

aws avataraws
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amazon-braket

amazon-braket

2.6Ksecurity

Runs quantum computing workflows on AWS through Amazon Braket — discovering devices (QPUs and simulators) and their availability, building gate-model circuits and analog Hamiltonian programs, submitting quantum tasks, program sets and hybrid jobs, looking up prices, and capping spend with spending limits. Applies to any request about quantum computing, quantum hardware, quantum simulation, AHS, OpenQASM, or running a quantum algorithm on AWS.

aws avataraws
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aws-social-messaging

aws-social-messaging

2.5Ksecurity

Manages WhatsApp messaging through AWS End User Messaging Social. Covers managing templates (create, update, delete, library), sending messages (utility/marketing/auth templates and freeform), uploading and managing media, configuring event destinations for delivery tracking, and troubleshooting delivery failures. Applicable when a user needs to send WhatsApp messages, create or manage templates, upload media, configure delivery notifications, or diagnose messaging issues.

aws avataraws
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amazon-ses

amazon-ses

2.5Ksecurity

Configures Amazon SES V2 for production email sending — including domain identity creation, DKIM/SPF/DMARC authentication, one-shot DNS record presentation, and Route 53 automation — for developers setting up or troubleshooting SES domain verification and deliverability. Applicable when developers need to send emails from their domain via SES, verify a domain identity, configure email authentication, troubleshoot DKIM verification issues, or ensure their sending setup follows best practices. Not for email-address-only verification, Mail Manager inbound routing, SNS, Pinpoint, or WorkMail.

aws avataraws
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aws-ai-ml

aws-ai-ml

2.5Kdevops-cloud

在Amazon SageMaker上选择、部署和定制AI模型。微调(SFT、DPO、RLVR、RLAIF)、模型选择、数据集准备、评估、部署到SageMaker端点或Bedrock,以及端点诊断。涵盖从规划到生产的完整生命周期。当在SageMaker上微调模型、从SageMaker Hub选择/挑选要定制或微调的基础模型、寻找无需微调即可部署的模型、转换用于训练的数据集、检查数据就绪性、评估模型质量、部署到端点、为训练作业设置IAM角色和S3存储桶,或管理SageMaker托管的MLflow应用时使用。也用于检查端点健康状况、诊断故障、调试延迟或错误,或查看容器日志和CloudWatch指标。涵盖无服务器模型定制、Nova和OSS部署路径以及PySDK v3的使用。不适用于Ground Truth标注、Feature Store或通用AWS基础设施。

aws avataraws
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agents-deploy

agents-deploy

2.5Kdevops-cloud

Use when deploying your agent to AWS, or when a deploy has failed. Handles pre-flight validation, CDK/IAM/quota error diagnosis, version management, rollback, and canary deployments. Triggers on: "deploy my agent", "agentcore deploy", "deploy failed", "CDK error", "rollback", "canary deploy", "pin version", "redeploy", "deploy stuck". Not for production hardening — use agents-harden. Not for adding capabilities before deploy — use agents-build or agents-connect. Not for VPC configuration errors — use agents-build.

aws avataraws
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agents-build

agents-build

2.5Kbrowser-web

Use to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments, or resource removal. Triggers: "add memory", "remember across sessions", "call agent from app", "invoke agent from code", "agent auth", "streaming", "VPC", "VPC connectivity", "can't reach from VPC", "multi-agent", "A2A", "A2A auth", "orchestrator not delegating", "specialist not called", "migrate Bedrock Agent", "migration issue", "change model", "browser tool", "code interpreter", "delete agent", "tear down", "agentcore remove", "cross-account memory", "add payments capability to my agent", "wire payments plugin", "integrate x402 payments with the agent I'm building", "add MPP payments", "Machine Payments Protocol". External APIs via Gateway: use agents-connect. New project: use agents-get-started. CLI/dev-server errors: use agents-debug. Runtime x402/MPP payments: use agents-pay. Migration-specific Strands vs LangGraph routes here.

aws avataraws
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agents-connect

agents-connect

2.5Ksecurity

Use when connecting your agent to external APIs, tools, or services via Gateway, or restricting tool access with Cedar policies. Handles gateway setup, target types, outbound auth (OAuth, API key, IAM), credentials, and Cedar policy authoring. Triggers on: "connect to API", "add gateway", "connect to MCP server", "Lambda tools", "OpenAPI", "gateway target", "Cedar policy", "restrict tools", "policy engine", "gateway auth error", "store API key", "outbound credential", "env var API key", "API key None after deploy", "credential not available after deploy", "should this be a gateway target", "give my agent tools", "add tools to agent". Not for inbound auth (who can call your agent) — use agents-harden. Not for debugging agent behavior — use agents-debug. Not for VPC networking errors (agent can't reach APIs due to VPC) — use agents-build. Not for creating or hosting a new MCP server project — use agents-get-started.

aws avataraws
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agents-debug

agents-debug

2.5Kbackend-api

Use when your agent or environment is broken — wrong answers, errors, timeouts, tool failures, or CLI issues. Reads traces and logs to diagnose root causes. Also checks prerequisites when the CLI itself isn't working. Triggers on: "agent not working", "wrong answer", "agent error", "tool call failing", "debug agent", "check logs", "read traces", "broken", "500 error", "424 error", "model access denied", "command not found", "stuck in DELETING", "maxVms exceeded", "cold start diagnosis", "cold start slow", "agentcore create error", "create failed", "exit code 7", "connection refused local dev". Not for deploy failures — use agents-deploy. Not for performance tuning without errors — use agents-optimize. Not for VPC configuration — use agents-build. Not for observability setup or missing logs — use agents-optimize.

aws avataraws
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