[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-aws-labs-migration-to-aws":3,"mdc-rqhfeq-key":37,"related-org-aws-labs-migration-to-aws":3599,"related-repo-aws-labs-migration-to-aws":3777},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":12,"stars":26,"repoUrl":27,"updatedAt":28,"license":29,"forks":30,"topics":31,"repo":32,"sourceUrl":35,"mdContent":36},"migration-to-aws","migrate workloads from GCP to AWS","Migrate workloads from Google Cloud Platform to AWS — including AI and agentic workloads regardless of cloud provider. Triggers on: migrate from GCP, GCP to AWS, move off Google Cloud, migrate Terraform to AWS, migrate Cloud SQL to RDS, migrate GKE to EKS, migrate Cloud Run to Fargate, Google Cloud migration, migrate from OpenAI to Bedrock, move off OpenAI, switch from ChatGPT API to AWS, migrate from Gemini to Bedrock, migrate LangChain to Bedrock, migrate LangGraph to AWS, migrate agentic workloads to AWS, move AI workloads to AWS, migrate my AI app to AWS. Runs a 6-phase process: discover GCP resources from Terraform files, app code, or billing exports, clarify migration requirements, design AWS architecture, estimate costs, generate migration artifacts, and collect optional feedback. Clarify must finish before Design, Estimate, or Generate. Includes AI provider migration guidance (for example, OpenAI to Amazon Bedrock) by selecting closest-fit Bedrock model families for required modality, latency\u002Fquality targets, context windows, and cost constraints. Model mapping is compatibility-guided, not 1:1 parity; validate prompts, tool-calling behavior, and eval metrics before cutover. Do not use for: Azure or on-premises migrations to AWS, AWS-to-GCP reverse migration, general AWS architecture advice without migration intent, GCP-to-GCP refactoring, or multi-cloud deployments that do not involve migrating off GCP.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},"aws-labs","AWS Labs","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Faws-labs.png","awslabs",[13,17,20,23],{"name":14,"slug":15,"type":16},"Migration","migration","tag",{"name":18,"slug":19,"type":16},"Infrastructure","infrastructure",{"name":21,"slug":22,"type":16},"AWS","aws",{"name":24,"slug":25,"type":16},"Google Cloud","google-cloud",14,"https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fstartups","2026-07-12T08:41:31.578759",null,15,[],{"repoUrl":27,"stars":26,"forks":30,"topics":33,"description":34},[],"Official AWS Startups repository that hosts plugins, skills, tools and resources to support startup builders on AWS","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fstartups\u002Ftree\u002FHEAD\u002Fadvisor\u002Fplugins\u002Faws-startup-advisor\u002Fskills\u002Fmigration-to-aws","---\nname: migration-to-aws\ndescription: \"Migrate workloads from Google Cloud Platform to AWS — including AI and agentic workloads regardless of cloud provider. Triggers on: migrate from GCP, GCP to AWS, move off Google Cloud, migrate Terraform to AWS, migrate Cloud SQL to RDS, migrate GKE to EKS, migrate Cloud Run to Fargate, Google Cloud migration, migrate from OpenAI to Bedrock, move off OpenAI, switch from ChatGPT API to AWS, migrate from Gemini to Bedrock, migrate LangChain to Bedrock, migrate LangGraph to AWS, migrate agentic workloads to AWS, move AI workloads to AWS, migrate my AI app to AWS. Runs a 6-phase process: discover GCP resources from Terraform files, app code, or billing exports, clarify migration requirements, design AWS architecture, estimate costs, generate migration artifacts, and collect optional feedback. Clarify must finish before Design, Estimate, or Generate. Includes AI provider migration guidance (for example, OpenAI to Amazon Bedrock) by selecting closest-fit Bedrock model families for required modality, latency\u002Fquality targets, context windows, and cost constraints. Model mapping is compatibility-guided, not 1:1 parity; validate prompts, tool-calling behavior, and eval metrics before cutover. Do not use for: Azure or on-premises migrations to AWS, AWS-to-GCP reverse migration, general AWS architecture advice without migration intent, GCP-to-GCP refactoring, or multi-cloud deployments that do not involve migrating off GCP.\"\n---\n\n# Migration to AWS Skill\n\n## Philosophy\n\n- **Re-platform by default**: Select AWS services that match GCP workload types (e.g., Cloud Run → Fargate, Cloud SQL → RDS).\n- **Dev sizing unless specified**: Default to development-tier capacity (e.g., db.t4g.micro, single AZ). Upgrade only on user direction.\n- **Cost informed decisions**: Always estimate costs before generating infrastructure code.\n- **No human one-time migration costs**: Do not present human labor, professional services, or people-time work as dollar estimates or \"one-time migration cost\" budget categories. Vendor charges grounded in data (for example GCP data transfer egress in the infra estimate when billing exists) are allowed.\n- **Multi-signal approach**: Design phase adapts based on available inputs — Terraform IaC for infrastructure, billing data for service mapping, and app code for AI workload detection.\n- **Terraform generation preferred**: Use Terraform as the default IaC tool for migration artifacts.\n- **Architecture choice preservation**: Preserve existing application architecture patterns during migration.\n- **BigQuery \u002F `google_bigquery_*`**: The skill **does not** recommend a specific AWS analytics or warehouse service. During **Clarify**, if discovery shows BigQuery (IaC `google_bigquery_*` and\u002For billing rows for BigQuery), you **must** surface the specialist advisory **before** Design (see `references\u002Fphases\u002Fclarify\u002Fclarify.md`). Design output uses **`Deferred — specialist engagement`**; keep directing the user to their **AWS account team** and\u002For a **data analytics migration partner** through Design, Estimate, and docs (see `references\u002Fphases\u002Fdesign\u002Fdesign-infra.md` BigQuery specialist gate).\n\n---\n\n## Definitions\n\n- **\"Load\"** = Read the file using the Read tool and follow its instructions. Do not summarize or skip sections.\n- **`$MIGRATION_DIR`** = The run-specific directory under `.migration\u002F` (e.g., `.migration\u002F0226-1430\u002F`). Set during Phase 1 (Discover).\n\n---\n\n## Context Loading Rules\n\nEach phase loads reference files on demand. To keep per-turn context manageable and prevent instruction-following degradation:\n\n- **Budget:** Each phase should load no more than ~800 lines of instructions (excluding user artifacts like JSON profiles and MCP tool results).\n- **Conditional loading:** Reference files with trigger conditions (e.g., `agentic_profile.is_agentic == true`) MUST NOT be loaded unless the condition is met. Do not speculatively load files.\n- **No duplication:** Model mapping tables, pricing data, and shared warnings exist in one canonical file. Other files reference them; they do not copy them inline.\n- **Progressive depth:** Phase orchestrators (`design.md`, `generate.md`) contain short routing logic that points to detailed sub-files. Load the sub-file only when its path is selected.\n\n**Conditional reference files (load ONLY when condition is true):**\n\n| File                                             | Condition                                                                                          |\n| ------------------------------------------------ | -------------------------------------------------------------------------------------------------- |\n| `design-refs\u002Fai-gemini-to-bedrock.md`            | `ai-workload-profile.json` exists AND `summary.ai_source` = `\"gemini\"` or `\"both\"`                 |\n| `design-refs\u002Fai-openai-to-bedrock.md`            | `ai-workload-profile.json` exists AND `summary.ai_source` = `\"openai\"` or `\"both\"`                 |\n| `design-refs\u002Fai.md`                              | `ai-workload-profile.json` exists AND `summary.ai_source` = `\"other\"`                              |\n| `design-refs\u002Fdesign-ref-harness.md`              | `agentic_profile.is_agentic == true` AND `ai_constraints.agentic.migration_approach == \"harness\"`  |\n| `design-refs\u002Fdesign-ref-agentic-to-agentcore.md` | `agentic_profile.is_agentic == true` AND `ai_constraints.agentic.migration_approach == \"strands\"`  |\n| `shared\u002Fretarget-gotchas.md`                     | `agentic_profile.is_agentic == true` AND `ai_constraints.agentic.migration_approach == \"retarget\"` |\n\nWhen adding new reference files, verify the phase's total loaded instructions remain under budget. If a new file would exceed ~800 lines when combined with other loaded refs, split it or make it conditional.\n\n---\n\n## Prerequisites\n\nUser must provide at least one GCP source:\n\n- **Terraform IaC**: `.tf` files (with optional `.tfvars`, `.tfstate`)\n- **Application code**: Source files with GCP SDK or AI framework imports\n- **Billing data**: GCP billing\u002Fcost\u002Fusage export files (CSV or JSON)\n\nIf none of the above are found, stop and ask user to provide at least one source type.\n\n---\n\n## State Machine\n\nThis is the execution controller. After completing each phase, consult this table to determine the next action.\n\n| Current State | Condition                                                             | Next Action                                                                            |\n| ------------- | --------------------------------------------------------------------- | -------------------------------------------------------------------------------------- |\n| `discover`    | `phases.discover != \"completed\"`                                      | Load `references\u002Fphases\u002Fdiscover\u002Fdiscover.md`                                          |\n| `clarify`     | `phases.discover == \"completed\"` AND `phases.clarify != \"completed\"`  | Load `references\u002Fphases\u002Fclarify\u002Fclarify.md`                                            |\n| `design`      | `phases.clarify == \"completed\"` AND `phases.design != \"completed\"`    | Load `references\u002Fphases\u002Fdesign\u002Fdesign.md`                                              |\n| `estimate`    | `phases.design == \"completed\"` AND `phases.estimate != \"completed\"`   | Load `references\u002Fphases\u002Festimate\u002Festimate.md`                                          |\n| `generate`    | `phases.estimate == \"completed\"` AND `phases.generate != \"completed\"` | Load `references\u002Fphases\u002Fgenerate\u002Fgenerate.md`                                          |\n| `complete`    | `phases.generate == \"completed\"` AND `phases.feedback == \"pending\"`   | Set `phases.feedback` to `\"completed\"` (user had two chances), then migration complete |\n| `complete`    | `phases.generate == \"completed\"` AND `phases.feedback == \"completed\"` | Migration planning complete                                                            |\n\n**How to determine current state (deterministic):**\n\n1. Read `$MIGRATION_DIR\u002F.phase-status.json`\n2. If `current_phase` exists, use it (must match one of: discover, clarify, design, estimate, generate, complete)\n3. Otherwise use ordered phase evaluation: `discover` → `clarify` → `design` → `estimate` → `generate`\n4. Pick the **first** phase in that order where `phases.\u003Cphase> != \"completed\"`; if none, state is `complete`\n\n**Phase gate checks**: If prior phase incomplete, do not advance (e.g., cannot enter estimate without completed design).\n\n**Clarify is mandatory:** Do not load `references\u002Fphases\u002Fdesign\u002Fdesign.md`, `references\u002Fphases\u002Festimate\u002Festimate.md`, or `references\u002Fphases\u002Fgenerate\u002Fgenerate.md` unless `$MIGRATION_DIR\u002F.phase-status.json` exists and `phases.clarify` is exactly `\"completed\"`. A `preferences.json` file alone is **not** sufficient proof that Clarify ran. If the user asks to skip Clarify or jump straight to Design, cost estimate, or artifact generation, refuse briefly, then load `references\u002Fphases\u002Fclarify\u002Fclarify.md` and run Phase 2. There is no exception for \"quick\" or \"obvious\" migrations.\n\n**Feedback checkpoints**: Feedback is not a sequential phase — it is offered at two interleaved checkpoints (after Discover and after Estimate). See the **Feedback Checkpoints** section below for details.\n\n---\n\n## State Validation\n\nWhen reading `$MIGRATION_DIR\u002F.phase-status.json`, validate before proceeding:\n\n1. **Multiple sessions**: If multiple directories exist under `.migration\u002F`, list them with their phase status and ask: [A] Resume latest, [B] Start fresh, [C] Cancel.\n2. **Invalid JSON**: If `.phase-status.json` fails to parse, STOP. Output: \"State file corrupted (invalid JSON). Delete the file and restart the current phase.\"\n3. **Unrecognized phase**: If `phases` object contains a phase not in {discover, clarify, design, estimate, generate, feedback}, STOP. Output: \"Unrecognized phase: [value]. Valid phases: discover, clarify, design, estimate, generate, feedback.\"\n4. **Unrecognized status**: If any `phases.*` value is not in {pending, in_progress, completed}, STOP. Output: \"Unrecognized status: [value]. Valid values: pending, in_progress, completed.\"\n5. **Invalid `current_phase`** (if present): If `current_phase` is not in {discover, clarify, design, estimate, generate, complete}, STOP. Output: \"Unrecognized current_phase: [value]. Valid values: discover, clarify, design, estimate, generate, complete.\"\n6. **Out-of-order completion**: For ordered phases [discover, clarify, design, estimate, generate], if any later phase is `\"completed\"` while an earlier phase is not `\"completed\"`, STOP. Output: \"Inconsistent phase ordering detected. Reconcile `.phase-status.json` before resuming.\"\n7. **Multiple active phases**: Across core phases {discover, clarify, design, estimate, generate}, at most one phase may be `\"in_progress\"`. If >1, STOP. Output: \"Multiple phases are in_progress. Keep only one active phase before resuming.\"\n\n---\n\n## State Management\n\nMigration state lives in `$MIGRATION_DIR` (`.migration\u002F[MMDD-HHMM]\u002F`), created by Phase 1 and persisted across invocations.\n\n**.phase-status.json schema:**\n\n```json\n{\n  \"migration_id\": \"0226-1430\",\n  \"last_updated\": \"2026-02-26T15:35:22Z\",\n  \"current_phase\": \"design\",\n  \"phases\": {\n    \"discover\": \"completed\",\n    \"clarify\": \"completed\",\n    \"design\": \"in_progress\",\n    \"estimate\": \"pending\",\n    \"generate\": \"pending\",\n    \"feedback\": \"pending\"\n  }\n}\n```\n\n**Status values:** `\"pending\"` → `\"in_progress\"` → `\"completed\"`. Never goes backward.\nFor core phases (discover, clarify, design, estimate, generate), at most one phase may be `\"in_progress\"` at any time.\n`current_phase` is optional but recommended; when present it is authoritative.\n\nThe `.migration\u002F` directory is automatically protected by a `.gitignore` file created in Phase 1.\n\n### Phase Status Update Protocol\n\nUse **read-merge-write** updates for `.phase-status.json`:\n\n1. Read the current file before every update.\n2. Change only the phase keys being advanced and `last_updated`.\n3. Keep prior completed phases unchanged.\n4. Set `current_phase` to the next deterministic phase (or `complete` after generate).\n5. Write the full file in the same turn as your final phase work message.\n\nExample — after completing the Clarify phase, write `$MIGRATION_DIR\u002F.phase-status.json` with:\n\n```json\n{\n  \"migration_id\": \"MMDD-HHMM\",\n  \"last_updated\": \"2026-02-26T15:35:22Z\",\n  \"current_phase\": \"design\",\n  \"phases\": {\n    \"discover\": \"completed\",\n    \"clarify\": \"completed\",\n    \"design\": \"pending\",\n    \"estimate\": \"pending\",\n    \"generate\": \"pending\",\n    \"feedback\": \"pending\"\n  }\n}\n```\n\nReplace `MMDD-HHMM` with the actual migration ID, generate the `last_updated` ISO 8601 UTC timestamp yourself, and set each phase to its correct status at that point.\n\n---\n\n## Phase Summary Table\n\n| Phase        | Inputs                                                                                                                                                                   | Outputs                                                                                                                                                                                                                                       | Reference                                |\n| ------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- |\n| **Discover** | `.tf` files, app source code, and\u002For billing exports (at least one required)                                                                                             | `gcp-resource-inventory.json`, `gcp-resource-clusters.json`, `ai-workload-profile.json`, `billing-profile.json`, `.phase-status.json` updated (outputs vary by input)                                                                         | `references\u002Fphases\u002Fdiscover\u002Fdiscover.md` |\n| **Clarify**  | Discovery artifacts (`gcp-resource-inventory.json`, `gcp-resource-clusters.json`, `ai-workload-profile.json`, `billing-profile.json` — whichever exist)                  | `preferences.json`, `.phase-status.json` updated                                                                                                                                                                                              | `references\u002Fphases\u002Fclarify\u002Fclarify.md`   |\n| **Design**   | `preferences.json` + discovery artifacts                                                                                                                                 | `aws-design.json` (infra), `aws-design-ai.json` (AI), `aws-design-billing.json` (billing-only)                                                                                                                                                | `references\u002Fphases\u002Fdesign\u002Fdesign.md`     |\n| **Estimate** | `aws-design.json` or `aws-design-billing.json` or `aws-design-ai.json`, `preferences.json`                                                                               | `estimation-infra.json` or `estimation-ai.json` or `estimation-billing.json`, `.phase-status.json` updated                                                                                                                                    | `references\u002Fphases\u002Festimate\u002Festimate.md` |\n| **Generate** | `estimation-infra.json` or `estimation-ai.json` or `estimation-billing.json`, `aws-design.json` or `aws-design-billing.json` or `aws-design-ai.json`, `preferences.json` | `generation-infra.json` or `generation-ai.json` or `generation-billing.json` + `terraform\u002F`, `scripts\u002F`, `ai-migration\u002F`, `validation-report.json` (when infra route active), `MIGRATION_GUIDE.md`, `README.md`, `.phase-status.json` updated | `references\u002Fphases\u002Fgenerate\u002Fgenerate.md` |\n| **Feedback** | `.phase-status.json` (discover completed minimum), all existing migration artifacts                                                                                      | `feedback.json`, `trace.json`, `.phase-status.json` updated                                                                                                                                                                                   | `references\u002Fphases\u002Ffeedback\u002Ffeedback.md` |\n\n---\n\n## MCP Servers\n\n**awspricing** (for cost estimation):\n\n- Provides `get_pricing`, `get_pricing_service_codes`, `get_pricing_service_attributes` tools\n- Only needed during Estimate phase. Discover and Design do not require it.\n- Primary pricing source: `references\u002Fshared\u002Fpricing-cache.md` (cached 2026 rates, ±5-10% for infrastructure, ±15-25% for AI models). MCP is secondary — used only for services not found in the cache.\n\n---\n\n## Files in This Skill\n\n```\nmigration-to-aws\u002F\n├── SKILL.md                                    ← You are here (orchestrator + state machine)\n│\n├── references\u002F\n│   ├── phases\u002F\n│   │   ├── discover\u002F\n│   │   │   ├── discover.md                     # Phase 1: Discover orchestrator\n│   │   │   ├── discover-iac.md                 # Terraform\u002FIaC discovery\n│   │   │   ├── discover-app-code.md            # App code discovery\n│   │   │   └── discover-billing.md             # Billing data discovery\n│   │   ├── clarify\u002F\n│   │   │   ├── clarify.md                     # Phase 2: Clarify orchestrator\n│   │   │   ├── clarify-global.md              # Category A: Global\u002FStrategic (Q1-Q7)\n│   │   │   ├── clarify-compute.md             # Categories B+C: Config Gaps + Compute (Q8-Q11)\n│   │   │   ├── clarify-database.md            # Category D: Database (Q12-Q13)\n│   │   │   ├── clarify-ai.md                  # Category F: AI\u002FBedrock (Q14-Q22)\n│   │   │   └── clarify-ai-only.md             # Standalone AI-only migration flow\n│   │   ├── design\u002F\n│   │   │   ├── design.md                       # Phase 3: Design orchestrator\n│   │   │   ├── design-infra.md                 # Infrastructure design (IaC-based)\n│   │   │   ├── design-ai.md                    # AI workload design (Bedrock)\n│   │   │   └── design-billing.md               # Billing-only design (fallback)\n│   │   ├── estimate\u002F\n│   │   │   ├── estimate.md                     # Phase 4: Estimate orchestrator\n│   │   │   ├── estimate-infra.md               # Infrastructure cost analysis\n│   │   │   ├── estimate-ai.md                  # AI workload cost analysis\n│   │   │   └── estimate-billing.md             # Billing-only cost analysis\n│   │   ├── generate\u002F\n│   │   │   ├── generate.md                     # Phase 5: Generate orchestrator\n│   │   │   ├── generate-infra.md               # Infrastructure migration plan\n│   │   │   ├── generate-ai.md                  # AI migration plan\n│   │   │   ├── generate-billing.md             # Billing-only migration plan\n│   │   │   ├── generate-artifacts-infra.md     # Terraform configurations\n│   │   │   ├── generate-artifacts-scripts.md  # Migration scripts\n│   │   │   ├── generate-artifacts-ai.md        # Provider adapter + test harness\n│   │   │   ├── generate-artifacts-billing.md   # Skeleton Terraform\n│   │   │   └── generate-artifacts-docs.md      # MIGRATION_GUIDE.md + README.md\n│   │   └── feedback\u002F\n│   │       ├── feedback.md                     # Phase 6: Feedback orchestrator\n│   │       └── feedback-trace.md               # Anonymized trace builder\n│   │\n│   ├── design-refs\u002F\n│   │   ├── index.md                            # Lookup table: GCP type → design-ref file\n│   │   ├── fast-path.md                        # Deterministic 1:1 mappings (Pass 1)\n│   │   ├── compute.md                          # Compute mappings (Cloud Run, GCE, GKE, etc.)\n│   │   ├── database.md                         # Database mappings (Cloud SQL, Spanner, etc.)\n│   │   ├── storage.md                          # Storage mappings (GCS, Filestore, etc.)\n│   │   ├── networking.md                       # Networking mappings (VPC, LB, DNS, etc.)\n│   │   ├── messaging.md                        # Messaging mappings (Pub\u002FSub, etc.)\n│   │   └── ai.md                               # AI mappings (Vertex AI → Bedrock)\n│   │\n│   ├── clustering\u002Fterraform\u002F\n│   │   ├── classification-rules.md             # Primary\u002Fsecondary classification\n│   │   ├── clustering-algorithm.md             # Cluster formation rules\n│   │   ├── depth-calculation.md                # Topological depth calculation\n│   │   └── typed-edges-strategy.md             # Edge type assignment\n│   │\n│   └── shared\u002F\n│       ├── schema-phase-status.md              # .phase-status.json schema (canonical reference)\n│       ├── schema-discover-iac.md              # gcp-resource-inventory + clusters schemas (loaded by discover-iac.md)\n│       ├── schema-discover-ai.md               # ai-workload-profile schema (loaded by discover-app-code.md and discover-iac.md Step 7d)\n│       ├── schema-discover-billing.md          # billing-profile schema (loaded by discover-billing.md)\n│       ├── schema-estimate-infra.md            # estimation-infra.json schema (loaded by estimate-infra.md at write time)\n│       ├── migration-complexity.md             # Complexity tier definitions (small\u002Fmedium\u002Flarge) for timeline scaling\n│       ├── pricing-cache.md                    # Cached AWS + source provider pricing (±5-25%, primary source)\n│       └── bedrock-quotas.md                   # Bedrock TPM\u002FRPM quota awareness, burndown rates, capacity planning\n```\n\n| Condition                                                     | Action                                                                                                                                                  |\n| ------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| No GCP sources found (no `.tf`, no app code, no billing data) | Stop. Output: \"No GCP sources detected. Provide at least one source type (Terraform files, application code, or billing exports) and try again.\"        |\n| `.phase-status.json` missing phase gate                       | Stop. Output: \"Cannot enter Phase X: Phase Y-1 not completed. Start from Phase Y or resume Phase Y-1.\"                                                  |\n| awspricing unavailable after 3 attempts                       | Display user warning about ±5-25% accuracy. Use `pricing-cache.md`. Add `pricing_source: \"cached_fallback\"` to the applicable `estimation-*.json` file. |\n| User skips questions or says \"use defaults for the rest\"      | Apply documented defaults for remaining questions in the current batch and all subsequent batches. Phase 2 completes either way.                        |\n| `aws-design.json` missing required clusters                   | Stop Phase 4. Output: \"Re-run Phase 3 to generate missing cluster designs.\"                                                                             |\n\n## Defaults\n\n- **IaC output**: Terraform configurations, migration scripts, AI migration code, and documentation\n- **Region**: `us-east-1` (unless user specifies, or GCP region → AWS region mapping suggests otherwise)\n- **Sizing**: Development tier (e.g., `db.t4g.micro` for databases, 0.5 CPU for Fargate)\n- **Migration mode**: Adapts based on available inputs (infrastructure, AI, or billing-only)\n- **Cost currency**: USD\n- **Timeline assumption**: 2-16 weeks depending on migration complexity — small (2-6 weeks), medium (6-12 weeks), large (12-18 weeks). See `references\u002Fshared\u002Fmigration-complexity.md` for tier definitions.\n\n## Workflow Execution\n\nWhen invoked, the agent **MUST follow this exact sequence**:\n\n1. **Load phase status**: Read `.phase-status.json` from `.migration\u002F*\u002F`.\n   - If missing: Initialize for Phase 1 (Discover)\n   - If exists: Determine current phase using deterministic rules in **State Machine**\n\n2. **Determine phase to execute**:\n   - If `current_phase` exists: execute that phase.\n   - Otherwise execute the first non-completed phase in ordered list: discover → clarify → design → estimate → generate.\n   - If all ordered phases are completed: migration is complete (with feedback finalization rule).\n\n3. **Read phase reference**: Load the full reference file for the target phase.\n\n4. **Execute ALL steps in order**: Follow every numbered step in the reference file. **Do not skip, optimize, or deviate.**\n\n5. **Validate outputs**: Confirm all required output files exist with correct schema before proceeding.\n\n6. **Update phase status**: Use the Phase Status Update Protocol (read-merge-write) in the same turn as the phase's final output message.\n\n7. **Feedback checkpoint**: After a phase completes, check if feedback is due (see rules below). This runs **before** advancing to the next phase.\n\n   - **After Discover** (if `phases.feedback` is `\"pending\"`): Output to user:\n     \"Would you like to share quick feedback (5 optional questions + anonymized usage data) to help improve this tool? Your data never includes resource names, file paths, or account IDs.\n     [A] Send feedback now\n     [B] Wait until after the Estimate phase\"\n     - If user picks **A** → Load `references\u002Fphases\u002Ffeedback\u002Ffeedback.md`, execute it, then continue to Clarify.\n     - If user picks **B** → Continue to Clarify (feedback stays `\"pending\"`).\n\n   - **After Estimate** (if `phases.feedback` is `\"pending\"`): Output to user:\n     \"Would you like to share quick feedback now? 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MCP is secondary — used only for services not found in the cache.",{"type":43,"tag":228,"props":2921,"children":2922},{},[],{"type":43,"tag":52,"props":2924,"children":2926},{"id":2925},"files-in-this-skill",[2927],{"type":49,"value":2928},"Files in This Skill",{"type":43,"tag":1428,"props":2930,"children":2934},{"className":2931,"code":2933,"language":49},[2932],"language-text","migration-to-aws\u002F\n├── SKILL.md                                    ← You are here (orchestrator + state machine)\n│\n├── references\u002F\n│   ├── phases\u002F\n│   │   ├── discover\u002F\n│   │   │   ├── discover.md                     # Phase 1: Discover orchestrator\n│   │   │   ├── discover-iac.md                 # Terraform\u002FIaC discovery\n│   │   │   ├── discover-app-code.md            # App code discovery\n│   │   │   └── discover-billing.md             # Billing data discovery\n│   │   ├── clarify\u002F\n│   │   │   ├── clarify.md                     # Phase 2: Clarify orchestrator\n│   │   │   ├── clarify-global.md              # Category A: Global\u002FStrategic (Q1-Q7)\n│   │   │   ├── clarify-compute.md             # Categories B+C: Config Gaps + Compute (Q8-Q11)\n│   │   │   ├── clarify-database.md            # Category D: Database (Q12-Q13)\n│   │   │   ├── clarify-ai.md                  # Category F: AI\u002FBedrock (Q14-Q22)\n│   │   │   └── clarify-ai-only.md             # Standalone AI-only migration flow\n│   │   ├── design\u002F\n│   │   │   ├── design.md                       # Phase 3: Design orchestrator\n│   │   │   ├── design-infra.md                 # Infrastructure design (IaC-based)\n│   │   │   ├── design-ai.md                    # AI workload design (Bedrock)\n│   │   │   └── design-billing.md               # Billing-only design (fallback)\n│   │   ├── estimate\u002F\n│   │   │   ├── estimate.md                     # Phase 4: Estimate orchestrator\n│   │   │   ├── estimate-infra.md               # Infrastructure cost analysis\n│   │   │   ├── estimate-ai.md                  # AI workload cost analysis\n│   │   │   └── estimate-billing.md             # Billing-only cost analysis\n│   │   ├── generate\u002F\n│   │   │   ├── generate.md                     # Phase 5: Generate orchestrator\n│   │   │   ├── generate-infra.md               # Infrastructure migration plan\n│   │   │   ├── generate-ai.md                  # AI migration plan\n│   │   │   ├── generate-billing.md             # Billing-only migration plan\n│   │   │   ├── generate-artifacts-infra.md     # Terraform configurations\n│   │   │   ├── generate-artifacts-scripts.md  # Migration scripts\n│   │   │   ├── generate-artifacts-ai.md        # Provider adapter + test harness\n│   │   │   ├── generate-artifacts-billing.md   # Skeleton Terraform\n│   │   │   └── generate-artifacts-docs.md      # MIGRATION_GUIDE.md + README.md\n│   │   └── feedback\u002F\n│   │       ├── feedback.md                     # Phase 6: Feedback orchestrator\n│   │       └── feedback-trace.md               # Anonymized trace builder\n│   │\n│   ├── design-refs\u002F\n│   │   ├── index.md                            # Lookup table: GCP type → design-ref file\n│   │   ├── fast-path.md                        # Deterministic 1:1 mappings (Pass 1)\n│   │   ├── compute.md                          # Compute mappings (Cloud Run, GCE, GKE, etc.)\n│   │   ├── database.md                         # Database mappings (Cloud SQL, Spanner, etc.)\n│   │   ├── storage.md                          # Storage mappings (GCS, Filestore, etc.)\n│   │   ├── networking.md                       # Networking mappings (VPC, LB, DNS, etc.)\n│   │   ├── messaging.md                        # Messaging mappings (Pub\u002FSub, etc.)\n│   │   └── ai.md                               # AI mappings (Vertex AI → Bedrock)\n│   │\n│   ├── clustering\u002Fterraform\u002F\n│   │   ├── classification-rules.md             # Primary\u002Fsecondary classification\n│   │   ├── clustering-algorithm.md             # Cluster formation rules\n│   │   ├── depth-calculation.md                # Topological depth calculation\n│   │   └── typed-edges-strategy.md             # Edge type assignment\n│   │\n│   └── shared\u002F\n│       ├── schema-phase-status.md              # .phase-status.json schema (canonical reference)\n│       ├── schema-discover-iac.md              # gcp-resource-inventory + clusters schemas (loaded by discover-iac.md)\n│       ├── schema-discover-ai.md               # ai-workload-profile schema (loaded by discover-app-code.md and discover-iac.md Step 7d)\n│       ├── schema-discover-billing.md          # billing-profile schema (loaded by discover-billing.md)\n│       ├── schema-estimate-infra.md            # estimation-infra.json schema (loaded by estimate-infra.md at write time)\n│       ├── migration-complexity.md             # Complexity tier definitions (small\u002Fmedium\u002Flarge) for timeline scaling\n│       ├── pricing-cache.md                    # Cached AWS + source provider pricing (±5-25%, primary source)\n│       └── bedrock-quotas.md                   # Bedrock TPM\u002FRPM quota awareness, burndown rates, capacity planning\n",[2935],{"type":43,"tag":143,"props":2936,"children":2937},{"__ignoreMap":1433},[2938],{"type":49,"value":2933},{"type":43,"tag":371,"props":2940,"children":2941},{},[2942,2957],{"type":43,"tag":375,"props":2943,"children":2944},{},[2945],{"type":43,"tag":379,"props":2946,"children":2947},{},[2948,2952],{"type":43,"tag":383,"props":2949,"children":2950},{},[2951],{"type":49,"value":392},{"type":43,"tag":383,"props":2953,"children":2954},{},[2955],{"type":49,"value":2956},"Action",{"type":43,"tag":394,"props":2958,"children":2959},{},[2960,2980,2998,3035,3048],{"type":43,"tag":379,"props":2961,"children":2962},{},[2963,2975],{"type":43,"tag":401,"props":2964,"children":2965},{},[2966,2968,2973],{"type":49,"value":2967},"No GCP sources found (no ",{"type":43,"tag":143,"props":2969,"children":2971},{"className":2970},[],[2972],{"type":49,"value":634},{"type":49,"value":2974},", no app code, no billing data)",{"type":43,"tag":401,"props":2976,"children":2977},{},[2978],{"type":49,"value":2979},"Stop. 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See ",{"type":43,"tag":143,"props":3151,"children":3153},{"className":3152},[],[3154],{"type":49,"value":3155},"references\u002Fshared\u002Fmigration-complexity.md",{"type":49,"value":3157}," for tier definitions.",{"type":43,"tag":52,"props":3159,"children":3161},{"id":3160},"workflow-execution",[3162],{"type":49,"value":3163},"Workflow Execution",{"type":43,"tag":290,"props":3165,"children":3166},{},[3167,3169,3174],{"type":49,"value":3168},"When invoked, the agent ",{"type":43,"tag":67,"props":3170,"children":3171},{},[3172],{"type":49,"value":3173},"MUST follow this exact sequence",{"type":49,"value":1473},{"type":43,"tag":989,"props":3176,"children":3177},{},[3178,3219,3252,3262,3277,3287,3297,3497],{"type":43,"tag":63,"props":3179,"children":3180},{},[3181,3186,3188,3193,3195,3201,3202],{"type":43,"tag":67,"props":3182,"children":3183},{},[3184],{"type":49,"value":3185},"Load phase status",{"type":49,"value":3187},": Read ",{"type":43,"tag":143,"props":3189,"children":3191},{"className":3190},[],[3192],{"type":49,"value":1255},{"type":49,"value":3194}," from ",{"type":43,"tag":143,"props":3196,"children":3198},{"className":3197},[],[3199],{"type":49,"value":3200},".migration\u002F*\u002F",{"type":49,"value":1938},{"type":43,"tag":59,"props":3203,"children":3204},{},[3205,3210],{"type":43,"tag":63,"props":3206,"children":3207},{},[3208],{"type":49,"value":3209},"If missing: Initialize for Phase 1 (Discover)",{"type":43,"tag":63,"props":3211,"children":3212},{},[3213,3215],{"type":49,"value":3214},"If exists: Determine current phase using deterministic rules in ",{"type":43,"tag":67,"props":3216,"children":3217},{},[3218],{"type":49,"value":685},{"type":43,"tag":63,"props":3220,"children":3221},{},[3222,3227,3228],{"type":43,"tag":67,"props":3223,"children":3224},{},[3225],{"type":49,"value":3226},"Determine phase to execute",{"type":49,"value":1473},{"type":43,"tag":59,"props":3229,"children":3230},{},[3231,3242,3247],{"type":43,"tag":63,"props":3232,"children":3233},{},[3234,3235,3240],{"type":49,"value":1007},{"type":43,"tag":143,"props":3236,"children":3238},{"className":3237},[],[3239],{"type":49,"value":1013},{"type":49,"value":3241}," exists: execute that phase.",{"type":43,"tag":63,"props":3243,"children":3244},{},[3245],{"type":49,"value":3246},"Otherwise execute the first non-completed phase in ordered list: discover → clarify → design → estimate → generate.",{"type":43,"tag":63,"props":3248,"children":3249},{},[3250],{"type":49,"value":3251},"If all ordered phases are completed: migration is complete (with feedback finalization rule).",{"type":43,"tag":63,"props":3253,"children":3254},{},[3255,3260],{"type":43,"tag":67,"props":3256,"children":3257},{},[3258],{"type":49,"value":3259},"Read phase reference",{"type":49,"value":3261},": Load the full reference file for the target phase.",{"type":43,"tag":63,"props":3263,"children":3264},{},[3265,3270,3272],{"type":43,"tag":67,"props":3266,"children":3267},{},[3268],{"type":49,"value":3269},"Execute ALL steps in order",{"type":49,"value":3271},": Follow every numbered step in the reference file. ",{"type":43,"tag":67,"props":3273,"children":3274},{},[3275],{"type":49,"value":3276},"Do not skip, optimize, or deviate.",{"type":43,"tag":63,"props":3278,"children":3279},{},[3280,3285],{"type":43,"tag":67,"props":3281,"children":3282},{},[3283],{"type":49,"value":3284},"Validate outputs",{"type":49,"value":3286},": Confirm all required output files exist with correct schema before proceeding.",{"type":43,"tag":63,"props":3288,"children":3289},{},[3290,3295],{"type":43,"tag":67,"props":3291,"children":3292},{},[3293],{"type":49,"value":3294},"Update phase status",{"type":49,"value":3296},": Use the Phase Status Update Protocol (read-merge-write) in the same turn as the phase's final output message.",{"type":43,"tag":63,"props":3298,"children":3299},{},[3300,3305,3307,3311,3313],{"type":43,"tag":67,"props":3301,"children":3302},{},[3303],{"type":49,"value":3304},"Feedback checkpoint",{"type":49,"value":3306},": After a phase completes, check if feedback is due (see rules below). This runs ",{"type":43,"tag":67,"props":3308,"children":3309},{},[3310],{"type":49,"value":183},{"type":49,"value":3312}," advancing to the next phase.",{"type":43,"tag":59,"props":3314,"children":3315},{},[3316,3390,3466],{"type":43,"tag":63,"props":3317,"children":3318},{},[3319,3324,3326,3331,3333,3338,3340,3344,3346,3350,3352],{"type":43,"tag":67,"props":3320,"children":3321},{},[3322],{"type":49,"value":3323},"After Discover",{"type":49,"value":3325}," (if ",{"type":43,"tag":143,"props":3327,"children":3329},{"className":3328},[],[3330],{"type":49,"value":938},{"type":49,"value":3332}," is ",{"type":43,"tag":143,"props":3334,"children":3336},{"className":3335},[],[3337],{"type":49,"value":1845},{"type":49,"value":3339},"): Output to user:\n\"Would you like to share quick feedback (5 optional questions + anonymized usage data) to help improve this tool? Your data never includes resource names, file paths, or account IDs.\n",{"type":43,"tag":1219,"props":3341,"children":3342},{},[3343],{"type":49,"value":1223},{"type":49,"value":3345}," Send feedback now\n",{"type":43,"tag":1219,"props":3347,"children":3348},{},[3349],{"type":49,"value":1230},{"type":49,"value":3351}," Wait until after the Estimate phase\"",{"type":43,"tag":59,"props":3353,"children":3354},{},[3355,3373],{"type":43,"tag":63,"props":3356,"children":3357},{},[3358,3360,3364,3366,3371],{"type":49,"value":3359},"If user picks ",{"type":43,"tag":67,"props":3361,"children":3362},{},[3363],{"type":49,"value":1223},{"type":49,"value":3365}," → Load ",{"type":43,"tag":143,"props":3367,"children":3369},{"className":3368},[],[3370],{"type":49,"value":2852},{"type":49,"value":3372},", execute it, then continue to Clarify.",{"type":43,"tag":63,"props":3374,"children":3375},{},[3376,3377,3381,3383,3388],{"type":49,"value":3359},{"type":43,"tag":67,"props":3378,"children":3379},{},[3380],{"type":49,"value":1230},{"type":49,"value":3382}," → Continue to Clarify (feedback stays ",{"type":43,"tag":143,"props":3384,"children":3386},{"className":3385},[],[3387],{"type":49,"value":1845},{"type":49,"value":3389},").",{"type":43,"tag":63,"props":3391,"children":3392},{},[3393,3398,3399,3404,3405,3410,3412,3416,3418,3422,3424],{"type":43,"tag":67,"props":3394,"children":3395},{},[3396],{"type":49,"value":3397},"After Estimate",{"type":49,"value":3325},{"type":43,"tag":143,"props":3400,"children":3402},{"className":3401},[],[3403],{"type":49,"value":938},{"type":49,"value":3332},{"type":43,"tag":143,"props":3406,"children":3408},{"className":3407},[],[3409],{"type":49,"value":1845},{"type":49,"value":3411},"): Output to user:\n\"Would you like to share quick feedback now? (5 optional questions + anonymized usage data)\n",{"type":43,"tag":1219,"props":3413,"children":3414},{},[3415],{"type":49,"value":1223},{"type":49,"value":3417}," Yes, share feedback\n",{"type":43,"tag":1219,"props":3419,"children":3420},{},[3421],{"type":49,"value":1230},{"type":49,"value":3423}," No thanks, continue to Generate\"",{"type":43,"tag":59,"props":3425,"children":3426},{},[3427,3443],{"type":43,"tag":63,"props":3428,"children":3429},{},[3430,3431,3435,3436,3441],{"type":49,"value":3359},{"type":43,"tag":67,"props":3432,"children":3433},{},[3434],{"type":49,"value":1223},{"type":49,"value":3365},{"type":43,"tag":143,"props":3437,"children":3439},{"className":3438},[],[3440],{"type":49,"value":2852},{"type":49,"value":3442},", execute it, then continue to Generate.",{"type":43,"tag":63,"props":3444,"children":3445},{},[3446,3447,3451,3453,3458,3459,3464],{"type":49,"value":3359},{"type":43,"tag":67,"props":3448,"children":3449},{},[3450],{"type":49,"value":1230},{"type":49,"value":3452}," → Use the Phase Status Update Protocol to set ",{"type":43,"tag":143,"props":3454,"children":3456},{"className":3455},[],[3457],{"type":49,"value":938},{"type":49,"value":940},{"type":43,"tag":143,"props":3460,"children":3462},{"className":3461},[],[3463],{"type":49,"value":946},{"type":49,"value":3465},". Continue to Generate.",{"type":43,"tag":63,"props":3467,"children":3468},{},[3469,3474,3476,3481,3483,3488,3490,3495],{"type":43,"tag":67,"props":3470,"children":3471},{},[3472],{"type":49,"value":3473},"After Generate",{"type":49,"value":3475},": No feedback offer. If ",{"type":43,"tag":143,"props":3477,"children":3479},{"className":3478},[],[3480],{"type":49,"value":938},{"type":49,"value":3482}," is still ",{"type":43,"tag":143,"props":3484,"children":3486},{"className":3485},[],[3487],{"type":49,"value":1845},{"type":49,"value":3489},", use the Phase Status Update Protocol to set it to ",{"type":43,"tag":143,"props":3491,"children":3493},{"className":3492},[],[3494],{"type":49,"value":946},{"type":49,"value":3496}," (user had two chances and chose to defer\u002Fskip).",{"type":43,"tag":63,"props":3498,"children":3499},{},[3500,3505],{"type":43,"tag":67,"props":3501,"children":3502},{},[3503],{"type":49,"value":3504},"Display summary",{"type":49,"value":3506},": Show user what was accomplished, highlight next phase, or confirm migration completion.",{"type":43,"tag":290,"props":3508,"children":3509},{},[3510,3515],{"type":43,"tag":67,"props":3511,"children":3512},{},[3513],{"type":49,"value":3514},"Critical constraint",{"type":49,"value":3516},": Agent must strictly adhere to the reference file's workflow. If unable to complete a step, stop and report the exact step that failed.",{"type":43,"tag":290,"props":3518,"children":3519},{},[3520,3522,3527,3529,3534],{"type":49,"value":3521},"User can invoke the skill again to resume from ",{"type":43,"tag":143,"props":3523,"children":3525},{"className":3524},[],[3526],{"type":49,"value":1013},{"type":49,"value":3528}," (or deterministic ordered evaluation when ",{"type":43,"tag":143,"props":3530,"children":3532},{"className":3531},[],[3533],{"type":49,"value":1013},{"type":49,"value":3535}," is absent).",{"type":43,"tag":52,"props":3537,"children":3539},{"id":3538},"scope-notes",[3540],{"type":49,"value":3541},"Scope Notes",{"type":43,"tag":290,"props":3543,"children":3544},{},[3545],{"type":43,"tag":67,"props":3546,"children":3547},{},[3548],{"type":49,"value":3549},"v1.0 includes:",{"type":43,"tag":59,"props":3551,"children":3552},{},[3553,3558,3563,3568,3573,3578,3583,3588],{"type":43,"tag":63,"props":3554,"children":3555},{},[3556],{"type":49,"value":3557},"Terraform infrastructure discovery",{"type":43,"tag":63,"props":3559,"children":3560},{},[3561],{"type":49,"value":3562},"App code scanning (AI workload detection)",{"type":43,"tag":63,"props":3564,"children":3565},{},[3566],{"type":49,"value":3567},"Billing data import from GCP",{"type":43,"tag":63,"props":3569,"children":3570},{},[3571],{"type":49,"value":3572},"User requirement clarification (adaptive questions by category)",{"type":43,"tag":63,"props":3574,"children":3575},{},[3576],{"type":49,"value":3577},"Multi-path Design (infrastructure, AI workloads, billing-only fallback)",{"type":43,"tag":63,"props":3579,"children":3580},{},[3581],{"type":49,"value":3582},"AWS cost estimation (from pricing API or fallback)",{"type":43,"tag":63,"props":3584,"children":3585},{},[3586],{"type":49,"value":3587},"Migration artifact generation (Terraform, scripts, AI adapters, documentation)",{"type":43,"tag":63,"props":3589,"children":3590},{},[3591],{"type":49,"value":3592},"Optional feedback collection with anonymized telemetry",{"type":43,"tag":3594,"props":3595,"children":3596},"style",{},[3597],{"type":49,"value":3598},"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":3600,"total":3776},[3601,3620,3641,3651,3662,3675,3685,3695,3716,3731,3746,3761],{"slug":3602,"name":3602,"fn":3603,"description":3604,"org":3605,"tags":3606,"stars":3617,"repoUrl":3618,"updatedAt":3619},"agentcore-investigation","investigate Bedrock AgentCore runtime sessions","Investigate Bedrock AgentCore runtime sessions via CloudWatch Logs Insights — resolve session\u002Ftrace IDs, query OTEL spans, filter noise, build timelines. Use when debugging AgentCore agent sessions, tracing tool calls, or analyzing latency.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3607,3608,3611,3614],{"name":21,"slug":22,"type":16},{"name":3609,"slug":3610,"type":16},"Debugging","debugging",{"name":3612,"slug":3613,"type":16},"Logs","logs",{"name":3615,"slug":3616,"type":16},"Observability","observability",9427,"https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fmcp","2026-07-12T08:37:22.601527",{"slug":3621,"name":3622,"fn":3623,"description":3624,"org":3625,"tags":3626,"stars":3617,"repoUrl":3618,"updatedAt":3640},"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},[3627,3630,3631,3634,3637],{"name":3628,"slug":3629,"type":16},"Aurora","aurora",{"name":21,"slug":22,"type":16},{"name":3632,"slug":3633,"type":16},"Database","database",{"name":3635,"slug":3636,"type":16},"Serverless","serverless",{"name":3638,"slug":3639,"type":16},"SQL","sql","2026-07-12T08:36:45.053393",{"slug":3642,"name":3643,"fn":3623,"description":3624,"org":3644,"tags":3645,"stars":3617,"repoUrl":3618,"updatedAt":3650},"aurora-dsql","aurora dsql",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3646,3647,3648,3649],{"name":21,"slug":22,"type":16},{"name":3632,"slug":3633,"type":16},{"name":3635,"slug":3636,"type":16},{"name":3638,"slug":3639,"type":16},"2026-07-12T08:36:42.694299",{"slug":3652,"name":3653,"fn":3623,"description":3624,"org":3654,"tags":3655,"stars":3617,"repoUrl":3618,"updatedAt":3661},"aws-dsql","aws dsql",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3656,3657,3658,3659,3660],{"name":21,"slug":22,"type":16},{"name":3632,"slug":3633,"type":16},{"name":14,"slug":15,"type":16},{"name":3635,"slug":3636,"type":16},{"name":3638,"slug":3639,"type":16},"2026-07-12T08:36:38.584057",{"slug":3663,"name":3664,"fn":3623,"description":3624,"org":3665,"tags":3666,"stars":3617,"repoUrl":3618,"updatedAt":3674},"distributed-postgres","distributed postgres",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3667,3668,3669,3672,3673],{"name":21,"slug":22,"type":16},{"name":3632,"slug":3633,"type":16},{"name":3670,"slug":3671,"type":16},"PostgreSQL","postgresql",{"name":3635,"slug":3636,"type":16},{"name":3638,"slug":3639,"type":16},"2026-07-12T08:36:46.530743",{"slug":3676,"name":3677,"fn":3623,"description":3624,"org":3678,"tags":3679,"stars":3617,"repoUrl":3618,"updatedAt":3684},"distributed-sql","distributed sql",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3680,3681,3682,3683],{"name":21,"slug":22,"type":16},{"name":3632,"slug":3633,"type":16},{"name":3635,"slug":3636,"type":16},{"name":3638,"slug":3639,"type":16},"2026-07-12T08:36:48.104182",{"slug":3686,"name":3686,"fn":3623,"description":3624,"org":3687,"tags":3688,"stars":3617,"repoUrl":3618,"updatedAt":3694},"dsql",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[3689,3690,3691,3692,3693],{"name":21,"slug":22,"type":16},{"name":3632,"slug":3633,"type":16},{"name":14,"slug":15,"type":16},{"name":3635,"slug":3636,"type":16},{"name":3638,"slug":3639,"type":16},"2026-07-12T08:36:36.374512",{"slug":3696,"name":3696,"fn":3697,"description":3698,"org":3699,"tags":3700,"stars":3713,"repoUrl":3714,"updatedAt":3715},"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},[3701,3704,3707,3710],{"name":3702,"slug":3703,"type":16},"Accounting","accounting",{"name":3705,"slug":3706,"type":16},"Analytics","analytics",{"name":3708,"slug":3709,"type":16},"Cost Optimization","cost-optimization",{"name":3711,"slug":3712,"type":16},"Finance","finance",3176,"https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fagentcore-samples","2026-07-12T08:40:03.29555",{"slug":3717,"name":3717,"fn":3718,"description":3719,"org":3720,"tags":3721,"stars":3713,"repoUrl":3714,"updatedAt":3730},"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},[3722,3723,3724,3727],{"name":21,"slug":22,"type":16},{"name":3711,"slug":3712,"type":16},{"name":3725,"slug":3726,"type":16},"Management","management",{"name":3728,"slug":3729,"type":16},"Reporting","reporting","2026-07-12T08:40:02.066471",{"slug":3732,"name":3732,"fn":3733,"description":3734,"org":3735,"tags":3736,"stars":3713,"repoUrl":3714,"updatedAt":3745},"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},[3737,3738,3739,3742],{"name":3705,"slug":3706,"type":16},{"name":3711,"slug":3712,"type":16},{"name":3740,"slug":3741,"type":16},"Financial Statements","financial-statements",{"name":3743,"slug":3744,"type":16},"Variance Analysis","variance-analysis","2026-07-12T08:40:00.79141",{"slug":3747,"name":3747,"fn":3748,"description":3749,"org":3750,"tags":3751,"stars":3713,"repoUrl":3714,"updatedAt":3760},"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},[3752,3755,3758],{"name":3753,"slug":3754,"type":16},"Automation","automation",{"name":3756,"slug":3757,"type":16},"Documents","documents",{"name":3759,"slug":3747,"type":16},"PDF","2026-07-12T08:41:44.135656",{"slug":3762,"name":3762,"fn":3763,"description":3764,"org":3765,"tags":3766,"stars":3713,"repoUrl":3714,"updatedAt":3775},"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},[3767,3768,3771,3772],{"name":3702,"slug":3703,"type":16},{"name":3769,"slug":3770,"type":16},"Data Analysis","data-analysis",{"name":3711,"slug":3712,"type":16},{"name":3773,"slug":3774,"type":16},"KPI","kpi","2026-07-12T08:39:59.54971",150,{"items":3778,"total":3871},[3779,3793,3808,3820,3830,3843,3856],{"slug":3780,"name":3780,"fn":3781,"description":3782,"org":3783,"tags":3784,"stars":26,"repoUrl":27,"updatedAt":3792},"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},[3785,3788,3791],{"name":3786,"slug":3787,"type":16},"Agents","agents",{"name":3789,"slug":3790,"type":16},"Architecture","architecture",{"name":21,"slug":22,"type":16},"2026-07-12T08:40:11.108951",{"slug":3794,"name":3794,"fn":3795,"description":3796,"org":3797,"tags":3798,"stars":26,"repoUrl":27,"updatedAt":3807},"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},[3799,3800,3803,3804],{"name":3786,"slug":3787,"type":16},{"name":3801,"slug":3802,"type":16},"AI Infrastructure","ai-infrastructure",{"name":21,"slug":22,"type":16},{"name":3805,"slug":3806,"type":16},"Engineering","engineering","2026-07-12T08:40:40.204103",{"slug":3809,"name":3809,"fn":3810,"description":3811,"org":3812,"tags":3813,"stars":26,"repoUrl":27,"updatedAt":3819},"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},[3814,3815,3816],{"name":3789,"slug":3790,"type":16},{"name":21,"slug":22,"type":16},{"name":3817,"slug":3818,"type":16},"Strategy","strategy","2026-07-12T08:41:33.557354",{"slug":3821,"name":3821,"fn":3822,"description":3823,"org":3824,"tags":3825,"stars":26,"repoUrl":27,"updatedAt":3829},"aws-architect","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},[3826,3827,3828],{"name":3789,"slug":3790,"type":16},{"name":21,"slug":22,"type":16},{"name":18,"slug":19,"type":16},"2026-07-12T08:40:57.630086",{"slug":3831,"name":3831,"fn":3832,"description":3833,"org":3834,"tags":3835,"stars":26,"repoUrl":27,"updatedAt":3842},"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},[3836,3837,3838,3839],{"name":3789,"slug":3790,"type":16},{"name":21,"slug":22,"type":16},{"name":3708,"slug":3709,"type":16},{"name":3840,"slug":3841,"type":16},"Security","security","2026-07-12T08:40:23.960287",{"slug":3844,"name":3844,"fn":3845,"description":3846,"org":3847,"tags":3848,"stars":26,"repoUrl":27,"updatedAt":3855},"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},[3849,3850,3851,3854],{"name":21,"slug":22,"type":16},{"name":3609,"slug":3610,"type":16},{"name":3852,"slug":3853,"type":16},"Deployment","deployment",{"name":3615,"slug":3616,"type":16},"2026-07-12T08:40:16.767171",{"slug":3857,"name":3857,"fn":3858,"description":3859,"org":3860,"tags":3861,"stars":26,"repoUrl":27,"updatedAt":3870},"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},[3862,3863,3864,3867],{"name":3789,"slug":3790,"type":16},{"name":21,"slug":22,"type":16},{"name":3865,"slug":3866,"type":16},"Diagrams","diagrams",{"name":3868,"slug":3869,"type":16},"Visualization","visualization","2026-07-12T08:40:43.26341",42]