amazon-documentdb
An agent skill by aws, from aws/agent-toolkit-for-aws. Tags: database, documentdb, migration, mongodb, security.
What it does
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.
Install
With the skills CLI, which installs into Claude Code, Codex, Cursor and other agents:
npx skills add aws/agent-toolkit-for-aws --skill amazon-documentdb
Or copy the skill folder into Claude Code's skills directory by hand (~/.claude/skills for every project, or .claude/skills inside one):
git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws
cp -r agent-toolkit-for-aws/skills/specialized-skills/database-skills/amazon-documentdb ~/.claude/skills/amazon-documentdb
Safety box score
Not rated yet. A safety box score grades what a skill and its scripts can reach on the machine of whoever installs it, across eight categories from shell execution to secrets access. Anyone can request one from this page; it is saved for everyone. How the score works.
Source
- Repository
- aws/agent-toolkit-for-aws (all skills from this repository)
- Path
- skills/specialized-skills/database-skills/amazon-documentdb/SKILL.md
- Branch
- main
- Updated
- 2026-09-19
Related skills
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- ingesting-into-data-lake — Import data into the AWS data lake from S3 files, local uploads, JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS, Aurora), Amazon Redshift.
- amazon-keyspaces — Provides authoritative compatibility checks, pricing estimates, connection troubleshooting, pre-warming guidance.
- amazon-neptune — Provides authoritative guidance on Amazon Neptune Database and Neptune Analytics for graph, knowledge-graph.
- dms-schema-conversion — Handles the full DMS Schema Conversion lifecycle including creating migration projects, converting database schemas to a target engine.