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Use when someone wants to build something on AWS, plan infrastructure, or design a new workload.\n---\n\nYou are an AWS Solutions Architect running a structured planning workflow. This skill orchestrates discovery through final review in one cohesive flow.\n\n## Workflow\n\n```\nDISCOVER → DESIGN → REVIEW → ESTIMATE → DELIVER\n```\n\n### Phase 1: Discovery\n\nUse the discovery questions from the `customer-ideation` skill as your reference menu.\n\n**Start with 3-5 high-signal questions:**\n\n- What business problem are you solving?\n- Who are the users and how many? (10, 1K, 100K, 1M+)\n- What are your hard constraints? (budget, timeline, compliance, team skills)\n- What does the workload look like? (API, batch, streaming, event-driven)\n- What's already in place? (existing infra, CI\u002FCD, identity provider)\n\n**Then follow the user's answers** — ask 2-3 targeted follow-ups based on what they said. Don't dump all questions. After the initial round, ask: \"I have enough to start on an architecture. Want to go deeper on discovery, or should I move to design?\"\n\n### Phase 2: Design\n\nApply the `aws-architect` skill's process:\n\n1. Evaluate against the six Well-Architected pillars\n2. Propose architecture with specific AWS services and configurations\n3. Call out trade-offs explicitly (cost vs performance, simplicity vs resilience)\n4. Use `awsknowledge` MCP tools (`mcp__plugin_aws-dev-toolkit_awsknowledge__aws___search_documentation`, `mcp__plugin_aws-dev-toolkit_awsknowledge__aws___read_documentation`, `mcp__plugin_aws-dev-toolkit_awsknowledge__aws___recommend`) to verify service limits and feature availability\n5. Describe the architecture flow (data path, request path)\n\n**Keep it simple.** Start with the simplest architecture that meets requirements. A Lambda + DynamoDB API is better than EKS for 100 users.\n\n### Phase 3: Security Review\n\n**This phase is mandatory — never skip it.**\n\nSpawn the `iac-reviewer` agent (`subagent_type: \"aws-dev-toolkit:iac-reviewer\"`) or invoke the `security-review` skill to validate the proposed architecture. Review should cover:\n\n- IAM least privilege\n- Encryption at rest and in transit\n- Network isolation (VPC, security groups, NACLs)\n- Public exposure surface\n- Secrets management\n\nAlso recommend baseline SCP guardrails:\n\n- No public security groups on private resources (EC2, RDS, ElastiCache)\n- No unencrypted storage (S3, RDS, EBS)\n- No public RDS instances\n- Require IMDSv2\n- No root access key creation\n- No S3 public access grants\n\n### Phase 4: Cost Estimate\n\nUse the `cost-check` skill or `aws-pricing` MCP tools to produce a rough monthly cost range. Include:\n\n- Baseline cost (steady state)\n- Scale cost (at projected peak)\n- Cost optimization opportunities (Savings Plans, Spot, right-sizing)\n\nFor AI\u002FML workloads, also invoke the `bedrock` skill.\n\n### Phase 5: Deliver\n\nPresent the final plan as:\n\n```markdown\n# AWS Architecture Plan: [Project Name]\n\n## Summary\n\n[1 paragraph overview]\n\n## Discovery Summary\n\n[Key requirements, constraints, and decisions from discovery]\n\n## Architecture\n\n### Services\n\n| Service | Purpose | Configuration | Monthly Est. |\n| ------- | ------- | ------------- | ------------ |\n\n### Architecture Flow\n\n[Data\u002Frequest path description]\n\n### Diagram\n\n[Mermaid or ASCII diagram]\n\n## Security Review\n\n[Findings from Phase 3 — blockers, warnings, suggestions]\n\n## SCP Guardrails\n\n[Recommended SCPs for the account\u002Forg]\n\n## Cost Estimate\n\n| Scenario | Monthly Estimate |\n| -------- | ---------------- |\n| Baseline | $X - $Y          |\n| At scale | $X - $Y          |\n\n## Trade-offs & Decisions\n\n[Key choices made and why]\n\n## Risks & Mitigations\n\n[What could go wrong and how to handle it]\n\n## Next Steps\n\n1. [Scaffold IaC with `\u002Faws-dev-toolkit:iac-scaffold`]\n2. [Set up CI\u002FCD]\n3. [Configure monitoring]\n```\n\n## Anti-Patterns\n\n- **Skipping discovery and jumping to design**: Proposing services before understanding the business problem leads to solutions that don't fit. Always complete Phase 1 before drawing architecture diagrams.\n- **Proposing services the team cannot operate**: A Kubernetes cluster is the wrong answer for a team with zero container experience and a 2-week deadline. Match complexity to team capability.\n- **Ignoring cost until the end**: Cost is a constraint, not an afterthought. Validate cost feasibility during design, not after presenting a finished architecture the customer cannot afford.\n- **Skipping the security review**: Every architecture plan must go through Phase 3. An unreviewed design shipped to production is a liability, not a deliverable.\n- **Over-engineering for hypothetical scale**: Designing for 10 million users when the current user base is 500. Start simple, design for 10x current load, and document the path to 100x.\n- **Single-vendor lock-in without justification**: Using proprietary services is fine when they provide clear advantages, but call out the lock-in trade-off explicitly so the customer makes an informed decision.\n- **Not defining success criteria**: A plan without measurable outcomes (latency targets, availability SLA, cost ceiling) cannot be validated after implementation.\n- **Presenting one option as the only option**: Always present at least two approaches with trade-offs. 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Use when debugging AgentCore agent sessions, tracing tool calls, or analyzing latency.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1267,1268,1271,1274],{"name":24,"slug":25,"type":16},{"name":1269,"slug":1270,"type":16},"Debugging","debugging",{"name":1272,"slug":1273,"type":16},"Logs","logs",{"name":1275,"slug":1276,"type":16},"Observability","observability",9427,"https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fmcp","2026-07-12T08:37:22.601527",{"slug":1281,"name":1282,"fn":1283,"description":1284,"org":1285,"tags":1286,"stars":1277,"repoUrl":1278,"updatedAt":1300},"amazon-aurora-dsql","amazon aurora dsql","build applications with Aurora DSQL","Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, FK replacement code generation, OCC retry patterns, ORM migration (Django\u002FHibernate\u002FRails), DDL operations, query plan explainability, SQL compatibility validation, and bulk data loading. Triggers on phrases like: DSQL, Aurora DSQL, create DSQL table, DSQL schema, migrate to DSQL, distributed SQL database, serverless PostgreSQL-compatible database, DSQL query plan, DSQL EXPLAIN ANALYZE, why is my DSQL query slow, DSQL foreign key, DSQL OCC retry, DSQL multi-region, load into DSQL, load CSV into DSQL, bulk load DSQL, aurora-dsql-loader.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1287,1290,1291,1294,1297],{"name":1288,"slug":1289,"type":16},"Aurora","aurora",{"name":24,"slug":25,"type":16},{"name":1292,"slug":1293,"type":16},"Database","database",{"name":1295,"slug":1296,"type":16},"Serverless","serverless",{"name":1298,"slug":1299,"type":16},"SQL","sql","2026-07-12T08:36:45.053393",{"slug":1302,"name":1303,"fn":1283,"description":1284,"org":1304,"tags":1305,"stars":1277,"repoUrl":1278,"updatedAt":1310},"aurora-dsql","aurora dsql",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1306,1307,1308,1309],{"name":24,"slug":25,"type":16},{"name":1292,"slug":1293,"type":16},{"name":1295,"slug":1296,"type":16},{"name":1298,"slug":1299,"type":16},"2026-07-12T08:36:42.694299",{"slug":1312,"name":1313,"fn":1283,"description":1284,"org":1314,"tags":1315,"stars":1277,"repoUrl":1278,"updatedAt":1323},"aws-dsql","aws dsql",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1316,1317,1318,1321,1322],{"name":24,"slug":25,"type":16},{"name":1292,"slug":1293,"type":16},{"name":1319,"slug":1320,"type":16},"Migration","migration",{"name":1295,"slug":1296,"type":16},{"name":1298,"slug":1299,"type":16},"2026-07-12T08:36:38.584057",{"slug":1325,"name":1326,"fn":1283,"description":1284,"org":1327,"tags":1328,"stars":1277,"repoUrl":1278,"updatedAt":1336},"distributed-postgres","distributed postgres",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1329,1330,1331,1334,1335],{"name":24,"slug":25,"type":16},{"name":1292,"slug":1293,"type":16},{"name":1332,"slug":1333,"type":16},"PostgreSQL","postgresql",{"name":1295,"slug":1296,"type":16},{"name":1298,"slug":1299,"type":16},"2026-07-12T08:36:46.530743",{"slug":1338,"name":1339,"fn":1283,"description":1284,"org":1340,"tags":1341,"stars":1277,"repoUrl":1278,"updatedAt":1346},"distributed-sql","distributed sql",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1342,1343,1344,1345],{"name":24,"slug":25,"type":16},{"name":1292,"slug":1293,"type":16},{"name":1295,"slug":1296,"type":16},{"name":1298,"slug":1299,"type":16},"2026-07-12T08:36:48.104182",{"slug":1348,"name":1348,"fn":1283,"description":1284,"org":1349,"tags":1350,"stars":1277,"repoUrl":1278,"updatedAt":1356},"dsql",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1351,1352,1353,1354,1355],{"name":24,"slug":25,"type":16},{"name":1292,"slug":1293,"type":16},{"name":1319,"slug":1320,"type":16},{"name":1295,"slug":1296,"type":16},{"name":1298,"slug":1299,"type":16},"2026-07-12T08:36:36.374512",{"slug":1358,"name":1358,"fn":1359,"description":1360,"org":1361,"tags":1362,"stars":1373,"repoUrl":1374,"updatedAt":1375},"cost-efficiency-analyzer","analyze cost efficiency and expenses","Analyzes cost structure, cost efficiency, and expense management from P&L data. Use when the user asks about costs, expenses, COGS, operating expenses, cost ratios, cost control, spending efficiency, margin compression from cost side, or wants to understand where money is going. Also use for \"are we spending too much\", \"cost breakdown\", \"expense analysis\", or \"how efficient are our operations\". NOT for revenue or top-line analysis.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1363,1366,1369,1370],{"name":1364,"slug":1365,"type":16},"Accounting","accounting",{"name":1367,"slug":1368,"type":16},"Analytics","analytics",{"name":21,"slug":22,"type":16},{"name":1371,"slug":1372,"type":16},"Finance","finance",3176,"https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fagentcore-samples","2026-07-12T08:40:03.29555",{"slug":1377,"name":1377,"fn":1378,"description":1379,"org":1380,"tags":1381,"stars":1373,"repoUrl":1374,"updatedAt":1390},"executive-financial-briefing","generate executive financial briefings","Generates a concise executive-level financial briefing or summary suitable for a CEO, CFO, or board presentation. Use when the user asks for a summary, briefing, executive summary, board update, financial overview, financial health check, or \"how is the business doing\". Covers the full P&L picture in one page. Also use for \"give me the highlights\", \"what do I need to know\", or \"quick financial update\".",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1382,1383,1384,1387],{"name":24,"slug":25,"type":16},{"name":1371,"slug":1372,"type":16},{"name":1385,"slug":1386,"type":16},"Management","management",{"name":1388,"slug":1389,"type":16},"Reporting","reporting","2026-07-12T08:40:02.066471",{"slug":1392,"name":1392,"fn":1393,"description":1394,"org":1395,"tags":1396,"stars":1373,"repoUrl":1374,"updatedAt":1405},"multi-quarter-trend-analysis","analyze multi-quarter financial trends","Analyzes financial trends across multiple quarters by comparing P&L metrics over time. Use when the user wants to see trends, patterns, trajectories, or directional movement across 3 or more quarters. Also use for \"how are we trending\", \"show me the trend\", \"track performance over time\", \"quarter over quarter comparison across all quarters\", or any multi-period longitudinal analysis.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1397,1398,1399,1402],{"name":1367,"slug":1368,"type":16},{"name":1371,"slug":1372,"type":16},{"name":1400,"slug":1401,"type":16},"Financial Statements","financial-statements",{"name":1403,"slug":1404,"type":16},"Variance Analysis","variance-analysis","2026-07-12T08:40:00.79141",{"slug":1407,"name":1407,"fn":1408,"description":1409,"org":1410,"tags":1411,"stars":1373,"repoUrl":1374,"updatedAt":1420},"pdf","process and manipulate PDF documents","Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text\u002Ftables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting\u002Fdecrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1412,1415,1418],{"name":1413,"slug":1414,"type":16},"Automation","automation",{"name":1416,"slug":1417,"type":16},"Documents","documents",{"name":1419,"slug":1407,"type":16},"PDF","2026-07-12T08:41:44.135656",{"slug":1422,"name":1422,"fn":1423,"description":1424,"org":1425,"tags":1426,"stars":1373,"repoUrl":1374,"updatedAt":1435},"quarterly-kpi-calculator","calculate quarterly financial KPIs","Calculates quarterly financial KPIs from P&L data. P&L figures can be provided directly by the user or fetched from the financial data MCP server. Use when the user wants KPI calculations such as Gross Margin %, EBITDA Margin %, Operating Expense Ratio, or Revenue Growth % QoQ. Also use for quarterly performance review, P&L analysis, or interpreting financial ratios against benchmarks.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1427,1428,1431,1432],{"name":1364,"slug":1365,"type":16},{"name":1429,"slug":1430,"type":16},"Data Analysis","data-analysis",{"name":1371,"slug":1372,"type":16},{"name":1433,"slug":1434,"type":16},"KPI","kpi","2026-07-12T08:39:59.54971",150,{"items":1438,"total":960},[1439,1451,1466,1478,1489,1500,1513],{"slug":1440,"name":1440,"fn":1441,"description":1442,"org":1443,"tags":1444,"stars":26,"repoUrl":27,"updatedAt":1450},"agentcore","design Amazon Bedrock AgentCore architectures","Deep-dive into Amazon Bedrock AgentCore platform design, service selection, deployment, and production operations. This skill should be used when the user asks to \"design an AgentCore architecture\", \"deploy agents on AgentCore\", \"configure AgentCore Runtime\", \"set up AgentCore Memory\", \"use AgentCore Gateway\", \"configure AgentCore Identity\", \"set up AgentCore Policy\", \"plan agent observability\", \"evaluate agent quality\", \"move agent PoC to production\", or mentions AgentCore, AgentCore Runtime, AgentCore Memory, AgentCore Gateway, AgentCore Identity, AgentCore Policy, AgentCore Evaluations, AgentCore Code Interpreter, AgentCore Browser, A2A protocol, or multi-agent orchestration on AWS.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1445,1448,1449],{"name":1446,"slug":1447,"type":16},"Agents","agents",{"name":18,"slug":19,"type":16},{"name":24,"slug":25,"type":16},"2026-07-12T08:40:11.108951",{"slug":1452,"name":1452,"fn":1453,"description":1454,"org":1455,"tags":1456,"stars":26,"repoUrl":27,"updatedAt":1465},"aidlc-lite","develop AI applications on AWS","Lightweight AI development lifecycle for building on AWS. A simplified take on the AI-DLC philosophy — think together, then build fast. Acts as a design partner that understands intent, proposes alternatives with trade-offs, and ships working code without the ceremony of full requirements\u002Fdesign\u002Fspec documents. Use when a founder says \"build X on AWS\", \"add Y to my stack\", \"scaffold an API\", or \"write the CDK for Z\".",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1457,1458,1461,1462],{"name":1446,"slug":1447,"type":16},{"name":1459,"slug":1460,"type":16},"AI Infrastructure","ai-infrastructure",{"name":24,"slug":25,"type":16},{"name":1463,"slug":1464,"type":16},"Engineering","engineering","2026-07-12T08:40:40.204103",{"slug":1467,"name":1467,"fn":1468,"description":1469,"org":1470,"tags":1471,"stars":26,"repoUrl":27,"updatedAt":1477},"architect-for-startups","advise on AWS architecture for startups","AWS architecture advisor tailored specifically for startups. Alters AWS architecture recommendations based on startup stage (pre-revenue through Series B+), team size, runway, and credits. ALWAYS use when asked about building on AWS, choosing services, planning infrastructure, managing costs with credits, or preparing architecture for fundraising.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1472,1473,1474],{"name":18,"slug":19,"type":16},{"name":24,"slug":25,"type":16},{"name":1475,"slug":1476,"type":16},"Strategy","strategy","2026-07-12T08:41:33.557354",{"slug":155,"name":155,"fn":1479,"description":1480,"org":1481,"tags":1482,"stars":26,"repoUrl":27,"updatedAt":1488},"design and review AWS architectures","Design and review AWS architectures following Well-Architected Framework principles. Use when planning new infrastructure, reviewing existing architectures, evaluating trade-offs between AWS services, or when asked about AWS best practices.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1483,1484,1485],{"name":18,"slug":19,"type":16},{"name":24,"slug":25,"type":16},{"name":1486,"slug":1487,"type":16},"Infrastructure","infrastructure","2026-07-12T08:40:57.630086",{"slug":1490,"name":1490,"fn":1491,"description":1492,"org":1493,"tags":1494,"stars":26,"repoUrl":27,"updatedAt":1499},"aws-compare","compare AWS architecture options","Compare 2-3 AWS architecture options side-by-side across cost, complexity, performance, security, and operational burden. Use when evaluating trade-offs between approaches or when the user is deciding between options.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1495,1496,1497,1498],{"name":18,"slug":19,"type":16},{"name":24,"slug":25,"type":16},{"name":21,"slug":22,"type":16},{"name":14,"slug":15,"type":16},"2026-07-12T08:40:23.960287",{"slug":1501,"name":1501,"fn":1502,"description":1503,"org":1504,"tags":1505,"stars":26,"repoUrl":27,"updatedAt":1512},"aws-debug","debug AWS infrastructure and deployment failures","Debug AWS infrastructure issues, deployment failures, and runtime errors. Use when troubleshooting CloudFormation stack failures, Lambda errors, ECS task failures, permission issues, networking problems, or any AWS service misbehavior.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1506,1507,1508,1511],{"name":24,"slug":25,"type":16},{"name":1269,"slug":1270,"type":16},{"name":1509,"slug":1510,"type":16},"Deployment","deployment",{"name":1275,"slug":1276,"type":16},"2026-07-12T08:40:16.767171",{"slug":1514,"name":1514,"fn":1515,"description":1516,"org":1517,"tags":1518,"stars":26,"repoUrl":27,"updatedAt":1527},"aws-diagram","generate AWS architecture diagrams","Generate AWS architecture diagrams in Mermaid or ASCII from a description, existing IaC, or conversation context. Use when the user wants to visualize an architecture.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1519,1520,1521,1524],{"name":18,"slug":19,"type":16},{"name":24,"slug":25,"type":16},{"name":1522,"slug":1523,"type":16},"Diagrams","diagrams",{"name":1525,"slug":1526,"type":16},"Visualization","visualization","2026-07-12T08:40:43.26341"]