[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-aws-java-x86-to-graviton":3,"mdc-ye86m0-key":42,"related-repo-aws-java-x86-to-graviton":1142,"related-org-aws-java-x86-to-graviton":1151},{"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":37,"sourceUrl":40,"mdContent":41},"java-x86-to-graviton","migrate Java applications to AWS Graviton","Validates Java application compatibility with AWS Graviton (ARM64) architecture by analyzing native libraries, dependencies (including transitive), and architecture-specific code. Performs static analysis, applies ARM64-required dependency updates, configures Graviton JVM flags, and validates builds on ARM64. Use when migrating Java workloads from x86 to Graviton, validating ARM64 readiness, or running AWS Transform Custom java-x86-to-graviton transformations.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"aws","AWS (Amazon)","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Faws.png",[12,16,19,22],{"name":13,"slug":14,"type":15},"Performance","performance","tag",{"name":17,"slug":18,"type":15},"Java","java",{"name":20,"slug":21,"type":15},"Migration","migration",{"name":23,"slug":8,"type":15},"AWS",1042,"https:\u002F\u002Fgithub.com\u002Faws\u002Faws-graviton-getting-started","2026-07-12T08:42:24.396991",null,228,[30,31,32,33,34,35,36],"arm","ec2","graviton","graviton2","graviton3","graviton3e","graviton4",{"repoUrl":25,"stars":24,"forks":28,"topics":38,"description":39},[30,31,32,33,34,35,36],"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).","https:\u002F\u002Fgithub.com\u002Faws\u002Faws-graviton-getting-started\u002Ftree\u002FHEAD\u002Ftools\u002Fskills\u002Flanguages\u002Fjava-x86-to-graviton","---\nname: java-x86-to-graviton\ndescription: Validates Java application compatibility with AWS Graviton (ARM64) architecture by analyzing native libraries, dependencies (including transitive), and architecture-specific code. Performs static analysis, applies ARM64-required dependency updates, configures Graviton JVM flags, and validates builds on ARM64. Use when migrating Java workloads from x86 to Graviton, validating ARM64 readiness, or running AWS Transform Custom java-x86-to-graviton transformations.\nmetadata:\n  author: AWS\n  version: \"1.0\"\n---\n\n# Java Application AWS Graviton (ARM64) Compatibility Validation\n\nValidate a Java application's readiness to run on AWS Graviton instances. This transformation identifies architecture-specific incompatibilities, validates native library ARM64 support, updates only ARM64-blocking dependencies, and tests on ARM64.\n\n## Scope Guardrails\n\n**CRITICAL: Read [document_references\u002Fagent-scope-boundaries.md](document_references\u002Fagent-scope-boundaries.md) before starting.** This file contains the decision tree for every dependency analysis and prevents scope creep.\n\n**In scope:** Native library ARM64 binaries, ARM64-blocking dependency updates, architecture detection code, Graviton JVM flags, ARM64 build\u002Ftest validation.\n\n**Out of scope:** Java version changes, JDK distribution changes, general dependency modernization, security updates, code refactoring, .gitignore\u002F.dockerignore changes.\n\n## Entry Criteria\n\n1. Java application currently running on x86 architecture\n2. Source code and build scripts available\n3. Current Java version documented (JDK 8+)\n4. Build configs (Maven\u002FGradle, Dockerfiles if containerized)\n5. ARM64 build\u002Ftest environment access (Graviton EC2 or ARM64 containers)\n6. Complete dependency list with current versions\n7. Existing test suite\n\n## Transformation Workflow\n\n### Version Control Setup\n\nInitialize git if not already present. Commit after each meaningful step for traceability and rollback.\n\n```bash\n# Initialize if no git repo exists (local only, no remote required)\nif [ ! -d \".git\" ]; then\n  git init\n  git add -A\n  git commit -m \"Initial commit - baseline before ARM64 transformation\"\nfi\n```\n\n**Commit at each step that produces output or changes files.** Use `git add -A && git commit -m \"\u003Cmessage>\"` with descriptive messages. Typical commit points:\n\n1. After documentation setup (graviton-validation\u002F folder created)\n2. After Phase 1 static analysis complete (all analysis reports written)\n3. After native library resolution (Phase 2.1 - .so files updated)\n4. After dependency updates (Phase 2.2 - pom.xml\u002Fbuild.gradle changed)\n5. After architecture code updates (Phase 2.3 - Java source changed)\n6. After Dockerfile\u002Fbuild config updates (Phase 2.4)\n7. After JVM optimization config (Phase 2.5)\n8. After build validation (Phase 3.1 - build results documented)\n9. After final validation and summary (Phase 3.3 + 00-summary.md written)\n\nNot every project will have all steps (e.g., no Dockerfile changes for host-based deployments, no native library resolution if none found). Commit whenever files change, skip commits for steps that produced no changes.\n\n### Documentation Setup\n\nBefore Phase 1, create the output structure. See [document_references\u002Fdocumentation-standards.md](document_references\u002Fdocumentation-standards.md) for required sections and templates.\n\n```bash\nmkdir -p graviton-validation\u002Fraw\n```\n\nOutput files produced:\n\n| File | Phase | Purpose |\n|------|-------|---------|\n| `01-project-assessment.md` | 1.1, 1.5 | Project structure, deployment type, Java env |\n| `02-native-library-report.md` | 1.2, 2.1 | Native library findings and resolutions |\n| `03-dependency-compatibility-report.md` | 1.3, 2.2 | Per-dependency ARM64 verdicts |\n| `04-code-scan-findings.md` | 1.4, 2.3 | Architecture-specific code patterns |\n| `05-jvm-configuration.md` | 2.5 | Graviton JVM flags |\n| `06-build-test-results.md` | 3.0-3.3 | Build, test results, startup checks |\n| `raw\u002Fdependency-tree-full.txt` | 1.1 | Raw dependency tree |\n| `raw\u002Fdependency-tree-native.txt` | 1.3 | Filtered native-artifact tree |\n| `00-summary.md` | End | Executive summary and exit criteria |\n\n### Phase 1: Static Compatibility Analysis\n\nAnalyze the project without making changes. See [phases\u002Fphase1-static-analysis.md](phases\u002Fphase1-static-analysis.md) for detailed steps.\n\n1. **1.1 Project Structure Analysis** - Deployment type, multi-module detection, dependency tree generation, component risk categorization\n2. **1.2 Native Library Validation** - Scan for .so files (bundled and runtime-extracted), apply tiered FAIL\u002FWARN\u002FPASS policy\n3. **1.3 Dependency ARM64 Compatibility** - Analyze full transitive tree, classify as MUST UPGRADE \u002F RECOMMENDED \u002F COMPATIBLE\n4. **1.4 Architecture-Specific Code Detection** - Find `os.arch` checks, JNI\u002FJNA usage missing ARM64 handling\n5. **1.5 Java Version Check** - Document version and distribution (do NOT change either)\n\n### Phase 2: Compatibility Resolution\n\nApply fixes for ARM64-blocking issues only. See [phases\u002Fphase2-resolution.md](phases\u002Fphase2-resolution.md) for detailed steps.\n\n1. **2.1 Native Library Resolution** - Cross-compile or obtain ARM64 .so files, update loading logic\n2. **2.2 Dependency Updates** - Update ONLY MUST UPGRADE dependencies (including transitive via dependencyManagement)\n3. **2.3 Architecture Code Updates** - Add `aarch64` handling to architecture detection code\n4. **2.4 Build Config Updates** - Add ARM64 Maven profile, Dockerfile `--platform` annotations (preserve current base images)\n5. **2.5 JVM Optimizations** - Apply version-gated Graviton JVM flags, validate with `java \u003Cflags> -version`\n\n### Phase 3: ARM64 Validation & Testing\n\nBuild and test on ARM64. See [phases\u002Fphase3-validation.md](phases\u002Fphase3-validation.md) for detailed steps.\n\n1. **3.0 Build Environment Prep** - Java runtime alignment for annotation processor compatibility (session-scoped only)\n2. **3.1 Build Validation** - Full build, classify failures as INFRA\u002FARM64\u002FPRE-EXISTING\n3. **3.2 Functional Testing** - Execute test suite, classify failures, determine final build\n4. **3.3 Startup Validation** - Verify application starts, JVM flags accepted, no crashes\n5. **Write 00-summary.md** - Consolidate exit criteria using template from documentation-standards.md\n\n## Exit Criteria\n\n### Must Pass\n1. Application compiles on ARM64 without errors\n2. Native libraries load on ARM64 (or fallbacks function)\n3. All MUST UPGRADE dependencies updated to ARM64-compatible versions\n4. No ARM64-specific runtime errors\n5. Container images build on ARM64 (if containerized)\n\n### Test Criteria\n6. Test suite executes on ARM64\n7. Failures classified: `INFRA` (non-blocking) \u002F `ARM64` (blocking) \u002F `PRE-EXISTING` (non-blocking)\n8. No ARM64-related test failures\n\n### Startup Criteria\n9. Application starts on ARM64 without crashes\n10. JVM flags accepted without errors\n\n### Documentation Criteria\n11. All files in `graviton-validation\u002F` using canonical names from documentation-standards.md\n\n## Test Failure Handling\n\nInfrastructure failures (missing DB, Docker, env vars) are non-blocking. Classify and document them, then run the final build without tests:\n- Gradle: `.\u002Fgradlew clean build -x test`\n- Maven: `mvn clean install -DskipTests`\n\nARM64 failures are blocking. 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See ",{"type":50,"tag":81,"props":686,"children":688},{"href":687},"phases\u002Fphase1-static-analysis.md",[689],{"type":56,"value":687},{"type":56,"value":691}," for detailed steps.",{"type":50,"tag":117,"props":693,"children":694},{},[695,705,715,725,743],{"type":50,"tag":121,"props":696,"children":697},{},[698,703],{"type":50,"tag":75,"props":699,"children":700},{},[701],{"type":56,"value":702},"1.1 Project Structure Analysis",{"type":56,"value":704}," - Deployment type, multi-module detection, dependency tree generation, component risk categorization",{"type":50,"tag":121,"props":706,"children":707},{},[708,713],{"type":50,"tag":75,"props":709,"children":710},{},[711],{"type":56,"value":712},"1.2 Native Library Validation",{"type":56,"value":714}," - Scan for .so files (bundled and runtime-extracted), apply tiered FAIL\u002FWARN\u002FPASS policy",{"type":50,"tag":121,"props":716,"children":717},{},[718,723],{"type":50,"tag":75,"props":719,"children":720},{},[721],{"type":56,"value":722},"1.3 Dependency ARM64 Compatibility",{"type":56,"value":724}," - Analyze full transitive tree, classify as MUST UPGRADE \u002F RECOMMENDED \u002F COMPATIBLE",{"type":50,"tag":121,"props":726,"children":727},{},[728,733,735,741],{"type":50,"tag":75,"props":729,"children":730},{},[731],{"type":56,"value":732},"1.4 Architecture-Specific Code Detection",{"type":56,"value":734}," - Find ",{"type":50,"tag":183,"props":736,"children":738},{"className":737},[],[739],{"type":56,"value":740},"os.arch",{"type":56,"value":742}," checks, JNI\u002FJNA usage missing ARM64 handling",{"type":50,"tag":121,"props":744,"children":745},{},[746,751],{"type":50,"tag":75,"props":747,"children":748},{},[749],{"type":56,"value":750},"1.5 Java Version Check",{"type":56,"value":752}," - Document version and distribution (do NOT change either)",{"type":50,"tag":163,"props":754,"children":756},{"id":755},"phase-2-compatibility-resolution",[757],{"type":56,"value":758},"Phase 2: Compatibility Resolution",{"type":50,"tag":59,"props":760,"children":761},{},[762,764,769],{"type":56,"value":763},"Apply fixes for ARM64-blocking issues only. 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Do not skip tests; the failing build is the final build.",{"type":50,"tag":65,"props":1089,"children":1091},{"id":1090},"user-responsibility-post-transformation",[1092],{"type":56,"value":1093},"User Responsibility (Post-Transformation)",{"type":50,"tag":1058,"props":1095,"children":1096},{},[1097,1102,1107],{"type":50,"tag":121,"props":1098,"children":1099},{},[1100],{"type":56,"value":1101},"Performance benchmarking and load testing",{"type":50,"tag":121,"props":1103,"children":1104},{},[1105],{"type":56,"value":1106},"Integration testing with external services",{"type":50,"tag":121,"props":1108,"children":1109},{},[1110],{"type":56,"value":1111},"CI\u002FCD pipeline configuration for ARM64 builds",{"type":50,"tag":65,"props":1113,"children":1115},{"id":1114},"notes",[1116],{"type":56,"value":1117},"Notes",{"type":50,"tag":1058,"props":1119,"children":1120},{},[1121,1126,1131],{"type":50,"tag":121,"props":1122,"children":1123},{},[1124],{"type":56,"value":1125},"ARM64 execution environment required for full validation. On x86, static analysis only.",{"type":50,"tag":121,"props":1127,"children":1128},{},[1129],{"type":56,"value":1130},"Multi-module projects require analysis of all submodules and the full transitive dependency tree",{"type":50,"tag":121,"props":1132,"children":1133},{},[1134],{"type":56,"value":1135},"Graviton instances perform best at higher CPU utilization (70%+ recommended for testing)",{"type":50,"tag":1137,"props":1138,"children":1139},"style",{},[1140],{"type":56,"value":1141},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":1143,"total":190},[1144],{"slug":4,"name":4,"fn":5,"description":6,"org":1145,"tags":1146,"stars":24,"repoUrl":25,"updatedAt":26},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1147,1148,1149,1150],{"name":23,"slug":8,"type":15},{"name":17,"slug":18,"type":15},{"name":20,"slug":21,"type":15},{"name":13,"slug":14,"type":15},{"items":1152,"total":1323},[1153,1172,1187,1202,1217,1227,1242,1256,1273,1286,1298,1313],{"slug":1154,"name":1154,"fn":1155,"description":1156,"org":1157,"tags":1158,"stars":1169,"repoUrl":1170,"updatedAt":1171},"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":8,"name":9,"logoUrl":10,"githubOrg":8},[1159,1162,1165,1166],{"name":1160,"slug":1161,"type":15},"Agents","agents",{"name":1163,"slug":1164,"type":15},"Automation","automation",{"name":23,"slug":8,"type":15},{"name":1167,"slug":1168,"type":15},"Engineering","engineering",1822,"https:\u002F\u002Fgithub.com\u002Faws\u002Fagent-toolkit-for-aws","2026-07-12T08:42:53.812877",{"slug":1173,"name":1173,"fn":1174,"description":1175,"org":1176,"tags":1177,"stars":1169,"repoUrl":1170,"updatedAt":1186},"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},[1178,1179,1182,1185],{"name":1160,"slug":1161,"type":15},{"name":1180,"slug":1181,"type":15},"API Development","api-development",{"name":1183,"slug":1184,"type":15},"Authentication","authentication",{"name":23,"slug":8,"type":15},"2026-07-16T06:00:38.866147",{"slug":1188,"name":1188,"fn":1189,"description":1190,"org":1191,"tags":1192,"stars":1169,"repoUrl":1170,"updatedAt":1201},"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},[1193,1194,1195,1198],{"name":1160,"slug":1161,"type":15},{"name":23,"slug":8,"type":15},{"name":1196,"slug":1197,"type":15},"Debugging","debugging",{"name":1199,"slug":1200,"type":15},"Observability","observability","2026-07-16T06:00:44.679093",{"slug":1203,"name":1203,"fn":1204,"description":1205,"org":1206,"tags":1207,"stars":1169,"repoUrl":1170,"updatedAt":1216},"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},[1208,1209,1210,1213],{"name":1160,"slug":1161,"type":15},{"name":23,"slug":8,"type":15},{"name":1211,"slug":1212,"type":15},"CI\u002FCD","ci-cd",{"name":1214,"slug":1215,"type":15},"Deployment","deployment","2026-07-12T08:42:55.059577",{"slug":1218,"name":1218,"fn":1219,"description":1220,"org":1221,"tags":1222,"stars":1169,"repoUrl":1170,"updatedAt":1226},"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},[1223,1224,1225],{"name":1160,"slug":1161,"type":15},{"name":23,"slug":8,"type":15},{"name":1214,"slug":1215,"type":15},"2026-07-12T08:42:51.963247",{"slug":1228,"name":1228,"fn":1229,"description":1230,"org":1231,"tags":1232,"stars":1169,"repoUrl":1170,"updatedAt":1241},"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},[1233,1234,1235,1238],{"name":1160,"slug":1161,"type":15},{"name":23,"slug":8,"type":15},{"name":1236,"slug":1237,"type":15},"Best Practices","best-practices",{"name":1239,"slug":1240,"type":15},"Security","security","2026-07-16T06:00:42.174705",{"slug":1243,"name":1243,"fn":1244,"description":1245,"org":1246,"tags":1247,"stars":1169,"repoUrl":1170,"updatedAt":1255},"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},[1248,1249,1250,1253,1254],{"name":1160,"slug":1161,"type":15},{"name":23,"slug":8,"type":15},{"name":1251,"slug":1252,"type":15},"Evals","evals",{"name":1199,"slug":1200,"type":15},{"name":13,"slug":14,"type":15},"2026-07-12T08:42:56.488105",{"slug":1257,"name":1257,"fn":1258,"description":1259,"org":1260,"tags":1261,"stars":1169,"repoUrl":1170,"updatedAt":1272},"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},[1262,1263,1266,1269],{"name":23,"slug":8,"type":15},{"name":1264,"slug":1265,"type":15},"Database","database",{"name":1267,"slug":1268,"type":15},"MySQL","mysql",{"name":1270,"slug":1271,"type":15},"Serverless","serverless","2026-07-12T08:43:13.27939",{"slug":1274,"name":1274,"fn":1275,"description":1276,"org":1277,"tags":1278,"stars":1169,"repoUrl":1170,"updatedAt":1285},"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},[1279,1280,1281,1284],{"name":23,"slug":8,"type":15},{"name":1264,"slug":1265,"type":15},{"name":1282,"slug":1283,"type":15},"PostgreSQL","postgresql",{"name":1270,"slug":1271,"type":15},"2026-07-16T06:00:34.789624",{"slug":1287,"name":1287,"fn":1288,"description":1289,"org":1290,"tags":1291,"stars":1169,"repoUrl":1170,"updatedAt":1297},"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},[1292,1293,1294],{"name":1160,"slug":1161,"type":15},{"name":23,"slug":8,"type":15},{"name":1295,"slug":1296,"type":15},"LLM","llm","2026-07-25T05:30:35.20899",{"slug":1299,"name":1299,"fn":1300,"description":1301,"org":1302,"tags":1303,"stars":1169,"repoUrl":1170,"updatedAt":1312},"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},[1304,1305,1306,1309],{"name":23,"slug":8,"type":15},{"name":1264,"slug":1265,"type":15},{"name":1307,"slug":1308,"type":15},"MongoDB","mongodb",{"name":1310,"slug":1311,"type":15},"NoSQL","nosql","2026-07-12T08:43:00.455878",{"slug":1314,"name":1314,"fn":1315,"description":1316,"org":1317,"tags":1318,"stars":1169,"repoUrl":1170,"updatedAt":1322},"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},[1319,1320,1321],{"name":23,"slug":8,"type":15},{"name":1264,"slug":1265,"type":15},{"name":1310,"slug":1311,"type":15},"2026-07-16T06:00:37.690386",115]