Individual skill
amazon-documentdb
Manages Amazon DocumentDB end-to-end — serverless-on-8.0 cluster setup, TLS/VPC/driver 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.
skills/specialized-skills/database-skills/amazon-documentdb/SKILL.md
Source commit 1761e96813ebcbd43ed81d19e837219033f0afe5
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 3, 2026
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Repository context
- Repository stars (not skill ratings)
- 3,422
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- data Derived category
- security Derived category
- testing Derived category
- testing-browser Derived category
- data-databases Derived category
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SKILL.mdcore · 23,781 bytesSKILL.mdcore · 23,781 bytesSKILL.mdcore · 23,781 bytesSKILL.mdcore · 23,781 bytesSKILL.mdcore · 23,781 bytesSKILL.mdcore · 23,781 bytesreferences/compatibility.mddoc · 8,137 bytesreferences/connection-drivers.mddoc · 5,553 bytesreferences/connection.mddoc · 8,985 bytesreferences/migration.mddoc · 10,535 bytesreferences/performance.mddoc · 5,428 bytesreferences/schema-advisor.mddoc · 7,474 bytesreferences/troubleshooting.mddoc · 7,046 bytesreferences/upgrade.mddoc · 7,640 bytesreferences/well-architected.mddoc · 5,982 bytesscripts/wa_review.pyruns · 47,991 bytes
Read excerpt
# Amazon DocumentDB Toolkit
## Overview
End-to-end DocumentDB toolkit covering seven workflows: **connection** (serverless-default cluster setup, TLS, VPC, driver config), **schema design** (embed-vs-reference, indexes, vector search for RAG), **compatibility assessment** (MongoDB -> DocumentDB), **migration** (DMS full-load + CDC + cutover), **performance tuning** (explain, COLLSCAN, anti-patterns), **Well-Architected review** (41 checks across 6 pillars), and **major version upgrade** (4.0->5.0, 5.0->8.0 in-place or near-zero-downtime).
The skill acts as an executor — it runs AWS CLI commands, DMS tasks, index tools, and `explain()` against the user's cluster rather than just advising. Each workflow produces concrete artifacts under `artifacts/{app-name}/`.
The AWS MCP server is **recommended** for executing AWS commands via its `call_aws` tool (sandboxed execution, audit logging), but it is not required — when the MCP server is not available, the same `aws ...` CLI commands run via shell.
## Decision Guide
| User asks about… | Route to |
|---|---|