[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"org-aws":3,"repo-skills-v-0-3-0":92},{"org":4,"repos":49},{"slug":5,"name":6,"logoUrl":7,"githubOrg":5,"website":8,"skillCount":9,"repoCount":10,"topRepos":11,"topTags":18,"lastUpdatedAt":48},"aws","AWS (Amazon)","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Faws.png","https:\u002F\u002Faws.amazon.com",115,2,[12,15],{"name":13,"skillCount":14},"aws\u002Fagent-toolkit-for-aws",114,{"name":16,"skillCount":17},"aws\u002Faws-graviton-getting-started",1,[19,21,24,27,30,33,36,39,42,45],{"slug":5,"name":20},"AWS",{"slug":22,"name":23},"infrastructure","Infrastructure",{"slug":25,"name":26},"security","Security",{"slug":28,"name":29},"database","Database",{"slug":31,"name":32},"deployment","Deployment",{"slug":34,"name":35},"monitoring","Monitoring",{"slug":37,"name":38},"networking","Networking",{"slug":40,"name":41},"operations","Operations",{"slug":43,"name":44},"data-engineering","Data Engineering",{"slug":46,"name":47},"debugging","Debugging","2026-08-01T06:06:05.601501",[50,65],{"name":51,"fullName":13,"repoUrl":52,"skillCount":14,"stars":53,"forks":54,"description":55,"topics":56,"topTags":57,"topTagCount":64,"lastUpdatedAt":48},"agent-toolkit-for-aws","https:\u002F\u002Fgithub.com\u002Faws\u002Fagent-toolkit-for-aws",1822,157,"Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS",[],[58,59,60,61,62,63],{"slug":5,"name":20},{"slug":22,"name":23},{"slug":25,"name":26},{"slug":28,"name":29},{"slug":31,"name":32},{"slug":34,"name":35},85,{"name":66,"fullName":16,"repoUrl":67,"skillCount":17,"stars":68,"forks":69,"description":70,"topics":71,"topTags":79,"topTagCount":90,"lastUpdatedAt":91},"aws-graviton-getting-started","https:\u002F\u002Fgithub.com\u002Faws\u002Faws-graviton-getting-started",1042,228,"Helping developers to use AWS Graviton2, Graviton3, and Graviton4 processors which power the 6th, 7th, and 8th generation of Amazon EC2 instances (C6g[d], M6g[d], R6g[d], T4g, X2gd, C6gn, I4g, Im4gn, Is4gen, G5g, C7g[d][n], M7g[d], R7g[d], R8g).",[72,73,74,75,76,77,78],"arm","ec2","graviton","graviton2","graviton3","graviton3e","graviton4",[80,81,84,87],{"slug":5,"name":20},{"slug":82,"name":83},"java","Java",{"slug":85,"name":86},"migration","Migration",{"slug":88,"name":89},"performance","Performance",4,"2026-07-12T08:42:24.396991",{"items":93,"total":14},[94,112,127,140,153,163,176,190,205,218,230,245,255,268,279,292,310,323,336,357,371,386,401,415],{"slug":95,"name":95,"fn":96,"description":97,"org":98,"tags":99,"stars":53,"repoUrl":52,"updatedAt":111},"agents-build","add capabilities to existing agent projects","Use when adding capabilities to an existing agent project — memory, app integration, VPC, multi-agent, migration, model changes, browser, code interpreter, or resource removal. Triggers on: \"add memory\", \"remember across sessions\", \"call agent from app\", \"invoke agent from code\", \"auth to call agent\", \"streaming responses\", \"VPC\", \"VPC connectivity\", \"VPC error\", \"can't reach from VPC\", \"multi-agent\", \"A2A\", \"A2A auth\", \"orchestrator not delegating\", \"specialist not called\", \"migrate Bedrock Agent\", \"after import\", \"migration issue\", \"framework for migration\", \"change model\", \"browser tool\", \"code interpreter\", \"delete agent\", \"tear down\", \"agentcore remove\", \"cross-account memory\", \"resource-based policy on memory\", \"pay for x402 content\", \"402 Payment Required\", \"microtransactions\", \"paid API or tool\". Not for connecting to external APIs via Gateway — use agents-connect. Not for scaffolding a new project — use agents-get-started. Not for CLI\u002Fdev server errors — use agents-debug. Strands vs LangGraph in a migration context routes here.\n",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[100,104,107,108],{"name":101,"slug":102,"type":103},"Agents","agents","tag",{"name":105,"slug":106,"type":103},"Automation","automation",{"name":20,"slug":5,"type":103},{"name":109,"slug":110,"type":103},"Engineering","engineering","2026-07-12T08:42:53.812877",{"slug":113,"name":113,"fn":114,"description":115,"org":116,"tags":117,"stars":53,"repoUrl":52,"updatedAt":126},"agents-connect","connect agents to external services","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.\n",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[118,119,122,125],{"name":101,"slug":102,"type":103},{"name":120,"slug":121,"type":103},"API Development","api-development",{"name":123,"slug":124,"type":103},"Authentication","authentication",{"name":20,"slug":5,"type":103},"2026-07-16T06:00:38.866147",{"slug":128,"name":128,"fn":129,"description":130,"org":131,"tags":132,"stars":53,"repoUrl":52,"updatedAt":139},"agents-debug","debug agent and environment issues","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.\n",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[133,134,135,136],{"name":101,"slug":102,"type":103},{"name":20,"slug":5,"type":103},{"name":47,"slug":46,"type":103},{"name":137,"slug":138,"type":103},"Observability","observability","2026-07-16T06:00:44.679093",{"slug":141,"name":141,"fn":142,"description":143,"org":144,"tags":145,"stars":53,"repoUrl":52,"updatedAt":152},"agents-deploy","deploy AI agents to AWS","Use when deploying your agent to AWS, or when a deploy has failed. Handles pre-flight validation, CDK\u002FIAM\u002Fquota 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.\n",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[146,147,148,151],{"name":101,"slug":102,"type":103},{"name":20,"slug":5,"type":103},{"name":149,"slug":150,"type":103},"CI\u002FCD","ci-cd",{"name":32,"slug":31,"type":103},"2026-07-12T08:42:55.059577",{"slug":154,"name":154,"fn":155,"description":156,"org":157,"tags":158,"stars":53,"repoUrl":52,"updatedAt":162},"agents-get-started","scaffold and deploy new agent projects","Use when a developer wants to create a new agent project or get started with AgentCore. Handles framework selection, project scaffolding, first deploy, and first invocation. Triggers on: \"build an agent\", \"create an agent\", \"get started\", \"new project\", \"agentcore create\", \"which framework\", \"Strands vs LangGraph\", \"hello world agent\", \"first agent\", \"create MCP server\", \"host MCP server\", \"agentcore dev\", \"dev server\", \"what port\", \"local development\". Not for adding capabilities to existing projects — use agents-build or agents-connect. Strands vs LangGraph in a migration context routes to agents-build, not here. Connecting to an existing MCP server routes to agents-connect, not here.\n",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[159,160,161],{"name":101,"slug":102,"type":103},{"name":20,"slug":5,"type":103},{"name":32,"slug":31,"type":103},"2026-07-12T08:42:51.963247",{"slug":164,"name":164,"fn":165,"description":166,"org":167,"tags":168,"stars":53,"repoUrl":52,"updatedAt":175},"agents-harden","harden agents for production","Use when preparing your agent for production — IAM scoping, inbound auth (JWT, SigV4), secrets management, cold start optimization, session lifecycle, rate limiting, input validation, and quota guidance. Triggers on: \"production checklist\", \"harden agent\", \"production ready\", \"secure agent\", \"inbound auth\", \"going live\", \"cold start optimization\", \"session lifecycle\", \"StopRuntimeSession\", \"quota\", \"throttling\", \"maxVms\", \"rate limit\", \"security audit of outbound API calls\", \"gateway target audit for production\", \"restrict who can call\", \"lock down endpoint\", \"only our app can call\". Not for Cedar tool-restriction policies — use agents-connect. Not for quality measurement — use agents-optimize. Not for outbound credential storage or API key wiring — use agents-connect. Not for A2A agent-to-agent auth — use agents-build. Cold start observation and diagnosis (not optimization) routes to agents-debug.\n",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[169,170,171,174],{"name":101,"slug":102,"type":103},{"name":20,"slug":5,"type":103},{"name":172,"slug":173,"type":103},"Best Practices","best-practices",{"name":26,"slug":25,"type":103},"2026-07-16T06:00:42.174705",{"slug":177,"name":177,"fn":178,"description":179,"org":180,"tags":181,"stars":53,"repoUrl":52,"updatedAt":189},"agents-optimize","optimize agent quality and performance","Use when measuring or improving agent quality and performance — set up evaluators, online monitoring, CI\u002FCD quality gates, observability, or cost optimization. Triggers on: \"evaluate my agent\", \"add evaluator\", \"measure quality\", \"quality gate\", \"run evals\", \"agent too slow\", \"why is it slow\", \"reduce latency\", \"set up observability\", \"CloudWatch dashboard\", \"how much does my agent cost\", \"cost optimization\", \"logs not showing up\", \"logs missing\", \"spans not found\", \"eval failing\", \"eval error\", \"dev traces\", \"local traces\", \"agentcore dev traces\", \"traces to CloudWatch\". Not for debugging errors or crashes — use agents-debug. Slow but correct routes here; broken routes to debug.\n",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[182,183,184,187,188],{"name":101,"slug":102,"type":103},{"name":20,"slug":5,"type":103},{"name":185,"slug":186,"type":103},"Evals","evals",{"name":137,"slug":138,"type":103},{"name":89,"slug":88,"type":103},"2026-07-12T08:42:56.488105",{"slug":191,"name":191,"fn":192,"description":193,"org":194,"tags":195,"stars":53,"repoUrl":52,"updatedAt":204},"amazon-aurora-mysql","manage Amazon Aurora MySQL clusters","Amazon Aurora MySQL — creates, modifies, and advises on Aurora MySQL clusters specifically (MySQL-compatible engine, Aurora serverless, parallel query). Trigger for Aurora MySQL cluster operations, ACU sizing, I\u002FO-Optimized storage, commitment pricing, or MySQL upgrade planning. Aurora MySQL uses full (VPC-based) configuration — express configuration is PostgreSQL-only. For Aurora PostgreSQL, use amazon-aurora-postgresql instead. Contains safety guardrails and response templates that override defaults.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[196,197,198,201],{"name":20,"slug":5,"type":103},{"name":29,"slug":28,"type":103},{"name":199,"slug":200,"type":103},"MySQL","mysql",{"name":202,"slug":203,"type":103},"Serverless","serverless","2026-07-12T08:43:13.27939",{"slug":206,"name":206,"fn":207,"description":208,"org":209,"tags":210,"stars":53,"repoUrl":52,"updatedAt":217},"amazon-aurora-postgresql","configure Amazon Aurora PostgreSQL clusters","Amazon Aurora PostgreSQL — creates, modifies, and advises on Aurora PostgreSQL clusters specifically (PostgreSQL-compatible engine, Aurora serverless, express configuration, pgvector, Babelfish). Trigger for Aurora PostgreSQL cluster operations, express-configuration quick-start, ACU sizing, I\u002FO-Optimized storage, commitment pricing, or PostgreSQL upgrade planning. For Aurora MySQL, use amazon-aurora-mysql instead. Contains safety guardrails, express-first routing, and response templates that override defaults.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[211,212,213,216],{"name":20,"slug":5,"type":103},{"name":29,"slug":28,"type":103},{"name":214,"slug":215,"type":103},"PostgreSQL","postgresql",{"name":202,"slug":203,"type":103},"2026-07-16T06:00:34.789624",{"slug":219,"name":219,"fn":220,"description":221,"org":222,"tags":223,"stars":53,"repoUrl":52,"updatedAt":229},"amazon-bedrock","build generative AI apps with Amazon Bedrock","Builds generative AI applications on Amazon Bedrock. Covers model invocation (Converse API, InvokeModel), RAG with Knowledge Bases, Bedrock Agents, Guardrails, and AgentCore. Use when invoking models, setting up Knowledge Bases, creating agents, applying guardrails, deploying to AgentCore, migrating\u002Fporting\u002Fconverting a Bedrock Agent (including inline agents) to an AgentCore Harness, troubleshooting Bedrock errors (ThrottlingException, AccessDeniedException), or choosing models (Claude, Llama, Nova, Titan). ALSO USE for prompt caching setup and debugging, quota health checks and throttling diagnosis, cost attribution and tracking, migrating between Claude model generations (4.5 to 4.6 to 4.7), chunking strategies, API selection (Converse vs InvokeModel), guardrail capabilities, and model selection. Also covers AgentCore Payments setup (x402, microtransactions, Payment Manager, Connector, Instrument, Coinbase CDP, Stripe Privy, 402 Payment Required, pay for content, paid endpoint, agent payments). NOT for custom model training, Rekognition, or Comprehend.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[224,225,226],{"name":101,"slug":102,"type":103},{"name":20,"slug":5,"type":103},{"name":227,"slug":228,"type":103},"LLM","llm","2026-07-25T05:30:35.20899",{"slug":231,"name":231,"fn":232,"description":233,"org":234,"tags":235,"stars":53,"repoUrl":52,"updatedAt":244},"amazon-documentdb","manage Amazon DocumentDB clusters","Manages Amazon DocumentDB end-to-end — serverless-on-8.0 cluster setup, TLS\u002FVPC\u002Fdriver config, flexible-schema and vector-search data modeling, MongoDB compatibility assessment, DMS-based migration, slow-query diagnosis, major version upgrades (4.0→5.0→8.0), Well-Architected reviews (41-check wa_review.py), cost estimation, and security hardening. Retrieve for every DocumentDB question and when the user asks to set up or migrate MongoDB to AWS — DocumentDB is AWS's MongoDB-compatible managed database. Triggers: JSON document store, document database, MongoDB on AWS, Nested fields, Lambda cannot connect, TLS handshake, VPC port 27017, IAM auth, Secrets Manager, encryption at rest, $graphLookup, flexible schema, COLLSCAN, compound index, DMS migration, CDC cutover, $vectorSearch, RAG, Global Clusters, DR replication, cost sizing, audit, health check, production-readiness.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[236,237,238,241],{"name":20,"slug":5,"type":103},{"name":29,"slug":28,"type":103},{"name":239,"slug":240,"type":103},"MongoDB","mongodb",{"name":242,"slug":243,"type":103},"NoSQL","nosql","2026-07-12T08:43:00.455878",{"slug":246,"name":246,"fn":247,"description":248,"org":249,"tags":250,"stars":53,"repoUrl":52,"updatedAt":254},"amazon-dynamodb","design and debug DynamoDB data layers","Designs, reviews, and debugs DynamoDB data layers from design axioms — enumerates access patterns, chooses partition\u002Fsort keys and GSIs, decides single-table vs. multi-table, configures Streams, Global Tables, TTL, and zero-ETL integrations to OpenSearch\u002FRedshift\u002FSageMaker Lakehouse, and produces a defensible data-layer design with a monthly cost estimate and optional live validation. Applies whenever a user is designing, reviewing, or refactoring anything backed by DynamoDB — schemas, access patterns, GSIs, single- vs. multi-table choices, Streams consumers, transactional outboxes, Global Tables, zero-ETL pipelines — even when they don't say \"axioms\" or \"design review.\" Also applies when debugging hot partitions, throttling, unbounded Scans, LWW conflicts, or surprise bills on DynamoDB workloads.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[251,252,253],{"name":20,"slug":5,"type":103},{"name":29,"slug":28,"type":103},{"name":242,"slug":243,"type":103},"2026-07-16T06:00:37.690386",{"slug":256,"name":256,"fn":257,"description":258,"org":259,"tags":260,"stars":53,"repoUrl":52,"updatedAt":267},"amazon-elasticache","optimize application performance with Amazon ElastiCache","Activate when developers have latent caching needs: slow API responses, database read bottlenecks, DynamoDB throttling or cost, RDS\u002FAurora scaling pressure, Bedrock latency or cost, or adding a cache; activate when working with Redis, Valkey, Memcached, or any in-memory data store, cache-aside patterns, session stores, rate limiting, leaderboards, counters, streams, queues, pub\u002Fsub, distributed locks, feature flags, shopping carts, or other caching strategies. Activate for GenAI and ML retrieval: vector similarity search for low-latency retrieval, semantic caching, RAG, LLM response caching, embedding stores, AI agent memory, recommendation, personalization. Activate for ElastiCache lifecycle: provisioning (serverless or node-based), engine selection, CloudFormation\u002FCDK\u002FTerraform IaC, VPC connectivity, TLS, RBAC, IAM auth, Global Datastore, monitoring, troubleshooting, cost optimization, and migration from self-managed Redis. Do not trigger for browser caches, CDN\u002FCloudFront, HTTP Cache-Control, CPU caches.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[261,262,265,266],{"name":20,"slug":5,"type":103},{"name":263,"slug":264,"type":103},"Caching","caching",{"name":29,"slug":28,"type":103},{"name":89,"slug":88,"type":103},"2026-07-25T05:30:33.405298",{"slug":269,"name":269,"fn":270,"description":271,"org":272,"tags":273,"stars":53,"repoUrl":52,"updatedAt":278},"amazon-keyspaces","manage Amazon Keyspaces infrastructure and connections","Provides authoritative compatibility checks, pricing estimates, connection troubleshooting, pre-warming guidance, and infrastructure mutations for Amazon Keyspaces (for Apache Cassandra). Covers LWT\u002Fbatch operations, secondary indexes, materialized views, capacity modes, TTL, PITR, CDC, auto-scaling, multi-region keyspaces, UDTs, nodetool diagnostics parsing, SQL-to-Cassandra migration, and Cassandra-to-Keyspaces migration scenarios. Agents frequently produce incomplete or incorrect answers about Keyspaces feature support without this skill loaded.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[274,275,276,277],{"name":20,"slug":5,"type":103},{"name":29,"slug":28,"type":103},{"name":23,"slug":22,"type":103},{"name":41,"slug":40,"type":103},"2026-07-12T08:42:59.173091",{"slug":280,"name":280,"fn":281,"description":282,"org":283,"tags":284,"stars":53,"repoUrl":52,"updatedAt":291},"amazon-opensearch-service","migrate and provision Amazon OpenSearch Service","Amazon OpenSearch Service and Serverless across five capabilities — migration (Solr\u002FES\u002Fself-managed OpenSearch into AOS\u002FAOSS, schema\u002Fquery translation, sizing, cutover); provisioning (domain + AOSS lifecycle, upgrades, storage tiers, FGAC, monitoring); search (vector \u002F semantic \u002F hybrid \u002F RAG with Bedrock connectors); log-analytics (PPL, OSI ingestion, anomaly detection, OpenSearch Dashboards, Splunk\u002FDatadog alternatives); trace-analytics (OTel spans, service maps, Data Prepper). Triggers on OpenSearch, AOS, AOSS, Elasticsearch, ELK, Solr, Lucene, vector \u002F k-NN \u002F semantic \u002F hybrid \u002F neural search, RAG, ELSER, log analytics, observability, Kibana, OSI, OCU, PPL, trace analytics, BM25, eDisMax, schema.xml, ILM, ISM, FAISS, HNSW, Migration Assistant for Amazon OpenSearch Service, Historical Data Migration, Live Traffic Migration, UltraWarm, OR1, Splunk\u002FDatadog alternative, moving off Solr. Picks ONE capability per ask, names instance class + count + shard math, ships query DSL examples.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[285,286,287,288],{"name":20,"slug":5,"type":103},{"name":23,"slug":22,"type":103},{"name":86,"slug":85,"type":103},{"name":289,"slug":290,"type":103},"Search","search","2026-07-12T08:43:20.10591",{"slug":293,"name":293,"fn":294,"description":295,"org":296,"tags":297,"stars":53,"repoUrl":52,"updatedAt":309},"analyzing-release-readiness","analyze release readiness for code changes","Trigger a pre-merge release readiness review on a GitHub PR, GitLab MR, or local branch. Use when the user wants to analyze code changes for risk, correctness, and potential rollback issues before merging. Trigger words include release readiness, analyze PR, analyze MR, review PR, risk analysis, pre-merge, safe to ship, ready to merge, ready to commit, any risks, before merging, validate changes, release management.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[298,299,300,303,306],{"name":20,"slug":5,"type":103},{"name":149,"slug":150,"type":103},{"name":301,"slug":302,"type":103},"Code Analysis","code-analysis",{"name":304,"slug":305,"type":103},"GitHub","github",{"name":307,"slug":308,"type":103},"Risk Assessment","risk-assessment","2026-07-12T08:44:00.008228",{"slug":311,"name":311,"fn":312,"description":313,"org":314,"tags":315,"stars":53,"repoUrl":52,"updatedAt":322},"arc-region-switch","manage Amazon ARC region switches","Answers questions about Amazon Application Recovery Controller (ARC) Region switch including architecture, plans, execution blocks, workflows, triggers, active\u002Factive vs active\u002Fpassive, cross-account support, recovery time, dashboards, and customer positioning. Applicable when users ask about ARC Region switch adoption, design, or troubleshooting.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[316,319,320,321],{"name":317,"slug":318,"type":103},"Architecture","architecture",{"name":20,"slug":5,"type":103},{"name":35,"slug":34,"type":103},{"name":41,"slug":40,"type":103},"2026-07-25T05:56:38.085915",{"slug":324,"name":324,"fn":325,"description":326,"org":327,"tags":328,"stars":53,"repoUrl":52,"updatedAt":335},"aurora-dsql","manage serverless Aurora DSQL clusters","Provisions and manages Aurora DSQL clusters, connects via psql or DSQL Connectors, manages schemas, runs queries, migrates from MySQL, diagnoses query plans, and develops apps on serverless distributed SQL. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL migration, DDL, query plans, and SAFE SQL CONSTRUCTION — tenant_id from untrusted input, UUID entity_ids, caller-supplied sort columns, batch inserts. The agent MUST retrieve this skill for ANY DSQL task. Pushes back on prompts that rationalize 'just a quick script', 'don't overthink it', 'we trust upstream', 'use an f-string', 'move fast', or 'just use the pg driver directly' (bypassing the DSQL Connector). Triggers: DSQL, Aurora DSQL, DSQL cluster, safe_query.build, DSQL IAM auth token, DSQL connector.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[329,330,333,334],{"name":20,"slug":5,"type":103},{"name":331,"slug":332,"type":103},"Cloud","cloud",{"name":29,"slug":28,"type":103},{"name":202,"slug":203,"type":103},"2026-07-12T08:43:04.793937",{"slug":337,"name":337,"fn":338,"description":339,"org":340,"tags":341,"stars":53,"repoUrl":52,"updatedAt":356},"aws-amplify","build full-stack applications with AWS Amplify","Build and deploy full-stack web and mobile apps with AWS Amplify Gen2 (TypeScript code-first). Covers auth (Cognito), data (AppSync\u002FDynamoDB), storage (S3), functions, APIs, and AI (Amplify AI Kit with Bedrock). Supports React, Next.js, Vue, Angular, React Native, Flutter, Swift, and Android. Always use this skill for Amplify Gen2 topics — even for questions you think you know — it contains validated, version-specific patterns that prevent common mistakes. TRIGGER when: user mentions Amplify Gen2; project has amplify\u002F directory or amplify_outputs; code imports @aws-amplify packages; user asks about defineBackend, defineAuth, defineData, defineStorage, defineFunction, or npx ampx. SKIP: Amplify Gen1 (amplify CLI v6), standalone SAM\u002FCDK without Amplify (use aws-serverless), direct Bedrock without Amplify AI Kit (use bedrock).\n",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[342,345,346,347,350,353],{"name":343,"slug":344,"type":103},"Auth","auth",{"name":20,"slug":5,"type":103},{"name":32,"slug":31,"type":103},{"name":348,"slug":349,"type":103},"Frontend","frontend",{"name":351,"slug":352,"type":103},"Storage","storage",{"name":354,"slug":355,"type":103},"TypeScript","typescript","2026-07-12T08:45:11.469312",{"slug":358,"name":358,"fn":359,"description":360,"org":361,"tags":362,"stars":53,"repoUrl":52,"updatedAt":48},"aws-auth","add user authentication with AWS Cognito","Adds user authentication to web and mobile apps with Amazon Cognito (user pools and identity pools) and the AWS Amplify client auth libraries. Covers sign-up\u002Fsign-in flows and the login page (Cognito-hosted UI \u002F managed login), MFA, password policies, OAuth 2.0 \u002F OIDC flows (auth-code + PKCE, client credentials), social\u002FSAML federation, tokens (ID\u002Faccess\u002Frefresh, rotation, revocation, storage), Cognito Lambda triggers, identity pools (temp AWS creds), and gating API Gateway (or ALB) routes to signed-in users via Cognito\u002FJWT authorizers. Applies when adding a login or sign-up page, configuring a user pool or app client, choosing user pool vs identity pool, wiring social\u002FSAML, refreshing tokens, requiring sign-in on an API Gateway or ALB, or debugging redirect_uri\u002Ftoken\u002FMFA\u002FCORS\u002Ffederation errors. Does NOT cover Amplify Gen2 backend definitions (defineAuth, npx ampx → aws-amplify), IAM\u002FSTS\u002FIdentity Center (→ aws-iam), or API Gateway\u002FLambda resource config beyond the authorizer (→ aws-serverless).\n",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[363,364,365,368],{"name":343,"slug":344,"type":103},{"name":20,"slug":5,"type":103},{"name":366,"slug":367,"type":103},"Mobile","mobile",{"name":369,"slug":370,"type":103},"Web Development","web-development",{"slug":372,"name":372,"fn":373,"description":374,"org":375,"tags":376,"stars":53,"repoUrl":52,"updatedAt":385},"aws-billing-and-cost-management","analyze and optimize AWS costs","Analyze AWS costs, find savings, manage budgets, evaluate Savings Plans and\nReserved Instances, right-size EC2\u002FLambda\u002FRDS\u002FEBS with Compute Optimizer,\nlook up service pricing, query CUR with Athena, detect cost anomalies,\nscope costs to billing views, and monitor Free Tier usage. Triggers on:\nAWS bill, cost analysis, reduce spend, savings plan, reserved instance,\nright-size, budget alert, cost optimization, pricing, free tier, cost\nanomaly, CUR, cost audit, billing view, billing view ARN.\n",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[377,378,381,384],{"name":20,"slug":5,"type":103},{"name":379,"slug":380,"type":103},"Cost Optimization","cost-optimization",{"name":382,"slug":383,"type":103},"Finance","finance",{"name":41,"slug":40,"type":103},"2026-07-12T08:42:37.604506",{"slug":387,"name":387,"fn":388,"description":389,"org":390,"tags":391,"stars":53,"repoUrl":52,"updatedAt":400},"aws-blocks","build full-stack applications with AWS Blocks","Guides building full-stack applications with AWS Blocks — an Infrastructure-from-Code framework. Applies when creating APIs, selecting Building Blocks (KVStore, DistributedTable, Database, AuthBasic, AuthCognito, Realtime, AsyncJob, FileBucket, etc.), running local development, or deploying AWS Blocks applications. Also covers AWS Blocks topics with validated, version-specific patterns that prevent common mistakes. Triggers when user mentions AWS Blocks; project has aws-blocks\u002F directory; code imports @aws-blocks packages.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[392,393,394,397],{"name":120,"slug":121,"type":103},{"name":20,"slug":5,"type":103},{"name":395,"slug":396,"type":103},"Full-stack","full-stack",{"name":398,"slug":399,"type":103},"Infrastructure as Code","infrastructure-as-code","2026-07-16T05:59:10.74643",{"slug":402,"name":402,"fn":403,"description":404,"org":405,"tags":406,"stars":53,"repoUrl":52,"updatedAt":414},"aws-cdk","author and deploy AWS infrastructure with CDK","Authors, deploys, and troubleshoots AWS infrastructure using CDK with TypeScript or Python. Covers best practices, stack architecture, and construct patterns. Always use when writing CDK constructs, bootstrapping environments, running cdk deploy\u002Fsynth\u002Fdiff, fixing CDK or CloudFormation errors, planning stack structure, importing existing resources, resolving drift, or refactoring stacks without resource replacement.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[407,408,409,410,413],{"name":20,"slug":5,"type":103},{"name":32,"slug":31,"type":103},{"name":398,"slug":399,"type":103},{"name":411,"slug":412,"type":103},"Python","python",{"name":354,"slug":355,"type":103},"2026-07-12T08:42:04.606473",{"slug":416,"name":416,"fn":417,"description":418,"org":419,"tags":420,"stars":53,"repoUrl":52,"updatedAt":425},"aws-cleanrooms","debug AWS Clean Rooms collaboration issues","Troubleshoots and debugs AWS Clean Rooms collaboration issues related to IAM roles, S3 bucket policies, KMS keys, Lake Formation permissions, and CloudWatch logging for custom ML model training and inference jobs. Use when a customer reports permission failures, access errors, or log publishing issues in Clean Rooms.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[421,422,423,424],{"name":20,"slug":5,"type":103},{"name":44,"slug":43,"type":103},{"name":47,"slug":46,"type":103},{"name":26,"slug":25,"type":103},"2026-07-12T08:43:30.018812"]