[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-aws-running-release-tests":3,"mdc-aili6k-key":35,"related-repo-aws-running-release-tests":1020,"related-org-aws-running-release-tests":1122},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":24,"repoUrl":25,"updatedAt":26,"license":27,"forks":28,"topics":29,"repo":30,"sourceUrl":33,"mdContent":34},"running-release-tests","run automated release tests for AWS workflows","Run automated release testing (UI or API) via the AWS DevOps Agent using a pre-configured test profile. Use when the user wants to validate multi-step workflows, verify features, check for regressions, or test API endpoints. Trigger words include run tests, UAT, test my app, test profile, UI test, API test, automated testing, regression test, QA, end-to-end test, run the QA agent.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"aws","AWS (Amazon)","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Faws.png",[12,16,19,21],{"name":13,"slug":14,"type":15},"Automation","automation","tag",{"name":17,"slug":18,"type":15},"CI\u002FCD","ci-cd",{"name":20,"slug":8,"type":15},"AWS",{"name":22,"slug":23,"type":15},"Testing","testing",1822,"https:\u002F\u002Fgithub.com\u002Faws\u002Fagent-toolkit-for-aws","2026-07-12T08:44:13.835005",null,157,[],{"repoUrl":25,"stars":24,"forks":28,"topics":31,"description":32},[],"Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS","https:\u002F\u002Fgithub.com\u002Faws\u002Fagent-toolkit-for-aws\u002Ftree\u002FHEAD\u002Fplugins\u002Faws-agents-for-devsecops\u002Fskills\u002Frunning-release-tests","---\nname: running-release-tests\ndescription: >-\n  Run automated release testing (UI or API) via the AWS DevOps Agent using a\n  pre-configured test profile. Use when the user wants to validate multi-step\n  workflows, verify features, check for regressions, or test API endpoints.\n  Trigger words include run tests, UAT, test my app, test profile, UI test,\n  API test, automated testing, regression test, QA, end-to-end test, run the QA agent.\n---\n\n# Release Testing\n\n> **AgentSpace routing (SigV4 only):** If `list_agent_spaces` is available in your tool list and the multi-space orchestration skill has NOT been invoked yet this session, invoke it first to determine which `agent_space_id` to use. Then pass `agent_space_id` on all tool calls below. For bearer token auth this is unnecessary — the token is already scoped to one space.\n\nRun automated release testing in the cloud via the AWS DevOps Agent's Release Testing Agent. Supports UI testing (browser-based) and API testing (OpenAPI spec-based). Uses pre-existing test profiles that define target URL, agent type, personas, and credentials.\n\n**Input is a test profile** — the test profile already contains the target URL, agent type (UI or API), test personas, and credentials. Do NOT ask the user for a URL directly; the URL is defined in the test profile.\n\n## Prerequisites\n\n- A pre-existing test profile (Knowledge Item ID like `ki-12345`) created from the AWS DevOps Agent console\n\n## Gathering test parameters\n\nBefore starting any workflow, you MUST gather the following parameters. Do NOT proceed to job creation until answered.\n\n### Step 1 — Test profile (required)\n\nAsk the user which test profile to use. The test profile already contains the target URL, agent type (UI or API), test personas, and credentials configuration — these do NOT need to be gathered separately.\n\n**Note:** A pre-existing test profile is a prerequisite. Test profiles are created using the AWS DevOps Agent console or API, not through this tool. If the user asks whether one can be created here, inform them it must already exist.\n\n### Step 2 — Test requirement (optional)\n\nIf the user has not already mentioned a test focus, ask:\n> \"Do you have a specific test requirement or focus area? If not, I'll run a full exploratory test.\"\n\nWait for the user's response. If they provide one, use it as the `test_requirement`. If they say no or skip, proceed without it.\n\n**IMPORTANT: You MUST wait for the user to respond before proceeding to job creation.**\n\n## Core workflow\n\n### 1. Select Agent Space\n\nList available agent spaces:\n\n```\naws devops-agent list-agent-spaces --region us-east-1\n```\n\nPresent the list to the user and ask which agent space they'd like to use. **Do NOT proceed until the user has selected one.** Use the selected `agentSpaceId` as `SPACE_ID` in all subsequent calls.\n\n### 2. Check tool availability\n\nVerify that the following tools are available: `aws_devops_agent__create_release_testing_job`, `aws_devops_agent__get_task`, `aws_devops_agent__list_journal_records`, `aws_devops_agent__get_release_ui_testing_report`, `aws_devops_agent__get_release_api_testing_report`. These tools are NOT deferred\u002Flazy-loaded — if they do not appear in your tool list, they are unavailable. Do NOT search for them via ToolSearch. If any are missing, skip the remaining steps in this section and use the \"Fallback (aws-mcp)\" path below instead.\n\n### 3. Start the Job\n\n```\naws_devops_agent__create_release_testing_job(\n    test_profile_id=\"ki-12345\",\n    webhook_event_message=\"\u003Coptional test requirement>\"\n)\n→ {\"taskId\": \"...\", \"executionId\": \"...\", \"status\": \"started\"}\n```\n\nRecord the **taskId** and **executionId** from the response.\n\n### 4. Poll for Status\n\nCall `aws_devops_agent__get_task(task_id=TASK_ID)` every **30 seconds** until the status transitions to `IN_PROGRESS` or a terminal state.\n\n### 5. Monitor Until Completion\n\nOnce `IN_PROGRESS`, poll for progress in a loop:\n\n1. Call `aws_devops_agent__list_journal_records(execution_id=EXEC_ID, order=\"ASC\")` to fetch new findings.\n2. Present each record to the user with a friendly progress update.\n3. Use `next_token` from the response to fetch only new records on subsequent polls.\n4. **Wait 20 seconds** between each poll iteration.\n5. Check `aws_devops_agent__get_task(task_id=TASK_ID)` periodically — stop when terminal status (`COMPLETED`, `FAILED`, `CANCELED`, `TIMED_OUT`).\n\n### 6. Present Results\n\nOnce the job reaches a terminal status:\n\n- If `COMPLETED`:\n  1. Determine the report type from the test profile's agent type (UI or API). Call `aws_devops_agent__get_release_ui_testing_report(execution_id=EXEC_ID)` for UI profiles or `aws_devops_agent__get_release_api_testing_report(execution_id=EXEC_ID)` for API profiles.\n  2. Write the report contents to a markdown file:\n\n     ```\n     release-testing-report-\u003CYYYY-MM-DD-HHmmss>.md\n     ```\n\n  3. Inform the user that the report was saved, including the file path.\n- If `FAILED` or `TIMED_OUT`: Present the error information and suggest next steps.\n- If `CANCELED`: Inform the user the job was canceled and no report is available.\n\n## Cancelling a job\n\n```\naws_devops_agent__cancel_release_testing_job(task_id=TASK_ID)\n```\n\n## Error handling\n\n1. If the task status changes to `FAILED`, stop the workflow and report the error.\n2. If the task does not reach `IN_PROGRESS` within 5 minutes, cancel it using `cancel_release_testing_job`.\n3. If any output contains \"NoCredentialsError\", \"ExpiredTokenException\", or auth failures, suggest the user refresh their credentials or check the bearer token.\n4. If throttled (`429` or `ThrottlingException`), wait 30 seconds before retrying. After 3 retries, inform the user.\n\n## Fallback (aws-mcp)\n\nIf the `aws-devops-agent` remote server is unavailable, use the AWS CLI directly:\n\nTell the user: \"Remote server unavailable — using direct AWS API fallback.\"\n\n### 1. Select Agent Space\n\nList available agent spaces:\n\n```\naws devops-agent list-agent-spaces --region us-east-1\n```\n\nPresent the list to the user and ask which agent space they'd like to use. **Do NOT proceed until the user has selected one.** Use the selected `agentSpaceId` as `SPACE_ID` in all subsequent calls.\n\n### 2. Start the Job\n\n```\naws devops-agent create-backlog-task \\\n  --agent-space-id SPACE_ID \\\n  --task-type RELEASE_TESTING \\\n  --title 'Release Testing' \\\n  --priority MEDIUM \\\n  --description '{\\\"testProfileId\\\": \\\"\u003CPROFILE_ID>\\\", \\\"webhookEventMessage\\\": \\\"\u003CREQUIREMENT>\\\"}' \\\n  --region us-east-1\n```\n\nIf the user provided a test requirement, include it as `webhookEventMessage`. If not, omit the field or leave it empty.\n\n### 3. Poll for Status\n\n```\naws devops-agent get-backlog-task \\\n  --agent-space-id SPACE_ID \\\n  --task-id TASK_ID \\\n  --region us-east-1\n```\n\nPoll every **30 seconds** until the status transitions to `IN_PROGRESS` or a terminal state (`COMPLETED`, `FAILED`, `CANCELED`, `TIMED_OUT`).\n\n### 4. Monitor Until Completion\n\nOnce `IN_PROGRESS`, poll for progress in a loop:\n\n```\naws devops-agent list-journal-records \\\n  --agent-space-id SPACE_ID \\\n  --execution-id EXEC_ID \\\n  --order ASC \\\n  --region us-east-1\n```\n\n1. Present each record to the user with a friendly progress update.\n2. Use `next_token` from the response to fetch only new records on subsequent polls.\n3. **Wait 20 seconds** between each poll iteration.\n4. Check `get-backlog-task` periodically — stop when terminal status (`COMPLETED`, `FAILED`, `CANCELED`, `TIMED_OUT`).\n\n### 5. Present Results\n\nOnce the job reaches a terminal status:\n\n- If `COMPLETED`:\n  1. Retrieve the report using the appropriate record type:\n     - **UI testing**: `--record-type qa_ui_testing_report`\n     - **API testing**: `--record-type qa_api_testing_report`\n\n     ```\n     aws devops-agent list-journal-records \\\n       --agent-space-id SPACE_ID \\\n       --execution-id EXEC_ID \\\n       --record-type qa_ui_testing_report \\\n       --order ASC \\\n       --region us-east-1\n     ```\n\n  2. Write the report contents to a markdown file:\n\n     ```\n     release-testing-report-\u003CYYYY-MM-DD-HHmmss>.md\n     ```\n\n  3. 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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":8,"name":9,"logoUrl":10,"githubOrg":8},[1028,1031,1032,1033],{"name":1029,"slug":1030,"type":15},"Agents","agents",{"name":13,"slug":14,"type":15},{"name":20,"slug":8,"type":15},{"name":1034,"slug":1035,"type":15},"Engineering","engineering","2026-07-12T08:42:53.812877",{"slug":1038,"name":1038,"fn":1039,"description":1040,"org":1041,"tags":1042,"stars":24,"repoUrl":25,"updatedAt":1051},"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":8,"name":9,"logoUrl":10,"githubOrg":8},[1043,1044,1047,1050],{"name":1029,"slug":1030,"type":15},{"name":1045,"slug":1046,"type":15},"API Development","api-development",{"name":1048,"slug":1049,"type":15},"Authentication","authentication",{"name":20,"slug":8,"type":15},"2026-07-16T06:00:38.866147",{"slug":1053,"name":1053,"fn":1054,"description":1055,"org":1056,"tags":1057,"stars":24,"repoUrl":25,"updatedAt":1066},"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":8,"name":9,"logoUrl":10,"githubOrg":8},[1058,1059,1060,1063],{"name":1029,"slug":1030,"type":15},{"name":20,"slug":8,"type":15},{"name":1061,"slug":1062,"type":15},"Debugging","debugging",{"name":1064,"slug":1065,"type":15},"Observability","observability","2026-07-16T06:00:44.679093",{"slug":1068,"name":1068,"fn":1069,"description":1070,"org":1071,"tags":1072,"stars":24,"repoUrl":25,"updatedAt":1079},"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":8,"name":9,"logoUrl":10,"githubOrg":8},[1073,1074,1075,1076],{"name":1029,"slug":1030,"type":15},{"name":20,"slug":8,"type":15},{"name":17,"slug":18,"type":15},{"name":1077,"slug":1078,"type":15},"Deployment","deployment","2026-07-12T08:42:55.059577",{"slug":1081,"name":1081,"fn":1082,"description":1083,"org":1084,"tags":1085,"stars":24,"repoUrl":25,"updatedAt":1089},"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":8,"name":9,"logoUrl":10,"githubOrg":8},[1086,1087,1088],{"name":1029,"slug":1030,"type":15},{"name":20,"slug":8,"type":15},{"name":1077,"slug":1078,"type":15},"2026-07-12T08:42:51.963247",{"slug":1091,"name":1091,"fn":1092,"description":1093,"org":1094,"tags":1095,"stars":24,"repoUrl":25,"updatedAt":1104},"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":8,"name":9,"logoUrl":10,"githubOrg":8},[1096,1097,1098,1101],{"name":1029,"slug":1030,"type":15},{"name":20,"slug":8,"type":15},{"name":1099,"slug":1100,"type":15},"Best Practices","best-practices",{"name":1102,"slug":1103,"type":15},"Security","security","2026-07-16T06:00:42.174705",{"slug":1106,"name":1106,"fn":1107,"description":1108,"org":1109,"tags":1110,"stars":24,"repoUrl":25,"updatedAt":1120},"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":8,"name":9,"logoUrl":10,"githubOrg":8},[1111,1112,1113,1116,1117],{"name":1029,"slug":1030,"type":15},{"name":20,"slug":8,"type":15},{"name":1114,"slug":1115,"type":15},"Evals","evals",{"name":1064,"slug":1065,"type":15},{"name":1118,"slug":1119,"type":15},"Performance","performance","2026-07-12T08:42:56.488105",114,{"items":1123,"total":1240},[1124,1131,1138,1145,1152,1158,1165,1173,1190,1203,1215,1230],{"slug":1023,"name":1023,"fn":1024,"description":1025,"org":1125,"tags":1126,"stars":24,"repoUrl":25,"updatedAt":1036},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1127,1128,1129,1130],{"name":1029,"slug":1030,"type":15},{"name":13,"slug":14,"type":15},{"name":20,"slug":8,"type":15},{"name":1034,"slug":1035,"type":15},{"slug":1038,"name":1038,"fn":1039,"description":1040,"org":1132,"tags":1133,"stars":24,"repoUrl":25,"updatedAt":1051},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1134,1135,1136,1137],{"name":1029,"slug":1030,"type":15},{"name":1045,"slug":1046,"type":15},{"name":1048,"slug":1049,"type":15},{"name":20,"slug":8,"type":15},{"slug":1053,"name":1053,"fn":1054,"description":1055,"org":1139,"tags":1140,"stars":24,"repoUrl":25,"updatedAt":1066},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1141,1142,1143,1144],{"name":1029,"slug":1030,"type":15},{"name":20,"slug":8,"type":15},{"name":1061,"slug":1062,"type":15},{"name":1064,"slug":1065,"type":15},{"slug":1068,"name":1068,"fn":1069,"description":1070,"org":1146,"tags":1147,"stars":24,"repoUrl":25,"updatedAt":1079},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1148,1149,1150,1151],{"name":1029,"slug":1030,"type":15},{"name":20,"slug":8,"type":15},{"name":17,"slug":18,"type":15},{"name":1077,"slug":1078,"type":15},{"slug":1081,"name":1081,"fn":1082,"description":1083,"org":1153,"tags":1154,"stars":24,"repoUrl":25,"updatedAt":1089},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1155,1156,1157],{"name":1029,"slug":1030,"type":15},{"name":20,"slug":8,"type":15},{"name":1077,"slug":1078,"type":15},{"slug":1091,"name":1091,"fn":1092,"description":1093,"org":1159,"tags":1160,"stars":24,"repoUrl":25,"updatedAt":1104},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1161,1162,1163,1164],{"name":1029,"slug":1030,"type":15},{"name":20,"slug":8,"type":15},{"name":1099,"slug":1100,"type":15},{"name":1102,"slug":1103,"type":15},{"slug":1106,"name":1106,"fn":1107,"description":1108,"org":1166,"tags":1167,"stars":24,"repoUrl":25,"updatedAt":1120},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1168,1169,1170,1171,1172],{"name":1029,"slug":1030,"type":15},{"name":20,"slug":8,"type":15},{"name":1114,"slug":1115,"type":15},{"name":1064,"slug":1065,"type":15},{"name":1118,"slug":1119,"type":15},{"slug":1174,"name":1174,"fn":1175,"description":1176,"org":1177,"tags":1178,"stars":24,"repoUrl":25,"updatedAt":1189},"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":8,"name":9,"logoUrl":10,"githubOrg":8},[1179,1180,1183,1186],{"name":20,"slug":8,"type":15},{"name":1181,"slug":1182,"type":15},"Database","database",{"name":1184,"slug":1185,"type":15},"MySQL","mysql",{"name":1187,"slug":1188,"type":15},"Serverless","serverless","2026-07-12T08:43:13.27939",{"slug":1191,"name":1191,"fn":1192,"description":1193,"org":1194,"tags":1195,"stars":24,"repoUrl":25,"updatedAt":1202},"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":8,"name":9,"logoUrl":10,"githubOrg":8},[1196,1197,1198,1201],{"name":20,"slug":8,"type":15},{"name":1181,"slug":1182,"type":15},{"name":1199,"slug":1200,"type":15},"PostgreSQL","postgresql",{"name":1187,"slug":1188,"type":15},"2026-07-16T06:00:34.789624",{"slug":1204,"name":1204,"fn":1205,"description":1206,"org":1207,"tags":1208,"stars":24,"repoUrl":25,"updatedAt":1214},"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":8,"name":9,"logoUrl":10,"githubOrg":8},[1209,1210,1211],{"name":1029,"slug":1030,"type":15},{"name":20,"slug":8,"type":15},{"name":1212,"slug":1213,"type":15},"LLM","llm","2026-07-25T05:30:35.20899",{"slug":1216,"name":1216,"fn":1217,"description":1218,"org":1219,"tags":1220,"stars":24,"repoUrl":25,"updatedAt":1229},"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":8,"name":9,"logoUrl":10,"githubOrg":8},[1221,1222,1223,1226],{"name":20,"slug":8,"type":15},{"name":1181,"slug":1182,"type":15},{"name":1224,"slug":1225,"type":15},"MongoDB","mongodb",{"name":1227,"slug":1228,"type":15},"NoSQL","nosql","2026-07-12T08:43:00.455878",{"slug":1231,"name":1231,"fn":1232,"description":1233,"org":1234,"tags":1235,"stars":24,"repoUrl":25,"updatedAt":1239},"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":8,"name":9,"logoUrl":10,"githubOrg":8},[1236,1237,1238],{"name":20,"slug":8,"type":15},{"name":1181,"slug":1182,"type":15},{"name":1227,"slug":1228,"type":15},"2026-07-16T06:00:37.690386",115]