Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ancoleman/ai-design-componentsnpx agentmods add skills/ancoleman/ai-design-components/using-document-databasesWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ancoleman/ai-design-components/using-document-databases)<a href="https://agentmods.dev/skills/ancoleman/ai-design-components/using-document-databases"><img src="https://agentmods.dev/badge/skills/ancoleman/ai-design-components/using-document-databases/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ancoleman/ai-design-components/using-document-databases"><img src="https://agentmods.dev/badge/skills/ancoleman/ai-design-components/using-document-databases.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00052 | $0.02023 |
| Opus 5.5 | $0.00021 | $0.00809 |
| Sonnet 5.5 | $0.00010 | $0.00405 |
| Haiku 4.5 | $0.00005 | $0.00202 |
Grade A, and why
using-document-databases scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 301 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Document Database Implementation
Guide NoSQL document database selection and implementation for flexible schema applications across Python, TypeScript, Rust, and Go.
When to Use This Skill
Use document databases when applications need:
- Flexible schemas - Data models evolve rapidly without migrations
- Nested structures - JSON-like hierarchical data
- Horizontal scaling - Built-in sharding and replication
- Developer velocity - Object-to-database mapping without ORM complexity
Database Selection
Quick Decision Framework
DEPLOYMENT ENVIRONMENT?
├── AWS-Native Application → DynamoDB
│ ✓ Serverless, auto-scaling, single-digit ms latency
│ ✗ Limited query flexibility
│
├── Firebase/GCP Ecosystem → Firestore
│ ✓ Real-time sync, offline support, mobile-first
│ ✗ More expensive for heavy reads
│
└── General-Purpose/Complex Queries → MongoDB
✓ Rich aggregation, full-text search, vector search
✓ ACID transactions, self-hosted or managed
Database Comparison
| Database | Best For | Latency | Max Item | Query Language |
|---|---|---|---|---|
| MongoDB | General-purpose, complex queries | 1-5ms | 16MB | MQL (rich) |
| DynamoDB | AWS serverless, predictable performance | <10ms | 400KB | PartiQL (limited) |
| Firestore | Real-time apps, mobile-first | 50-200ms | 1MB | Firebase queries |
See references/mongodb.md for MongoDB details
See references/dynamodb.md for DynamoDB single-table design
See references/firestore.md for Firestore real-time patterns
Schema Design Patterns
Embedding vs Referencing
Use the decision matrix in references/schema-design-patterns.md
Quick guide:
| Relationship | Pattern | Example |
|---|---|---|
| One-to-Few | Embed | User addresses (2-3 max) |
| One-to-Many | Hybrid | Blog posts → comments |
| One-to-Millions | Reference | User → events (logging) |
| Many-to-Many | Reference | Products ↔ Categories |
What ships with it
19 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- examples/dynamodb-serverless/handler.py 9.0 KB runs code
- examples/dynamodb-serverless/serverless.yml 3.0 KB
- examples/firestore-react/README.md 7.1 KB
- examples/mongodb-fastapi/main.py 8.0 KB runs code
- examples/mongodb-fastapi/requirements.txt 115 B
- examples/mongodb-nextjs/README.md 5.6 KB
- outputs.yaml 13 KB
- README.md 6.6 KB
- references/aggregation-patterns.md 7.9 KB
- references/anti-patterns.md 6.7 KB
- references/common-patterns.md 7.9 KB
- references/dynamodb.md 17 KB
- references/firestore.md 14 KB
- references/indexing-strategies.md 6.0 KB
- references/mongodb.md 19 KB
- references/performance.md 7.5 KB
- references/schema-design-patterns.md 16 KB
- references/skill-integrations.md 8.4 KB
- scripts/validate_indexes.py 8.7 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 301 lines · 52 tokens per session scan A fbd90354ba5b
using-document-databases is a skill published in the GitHub repository ancoleman/ai-design-components (525 stars, last pushed 10mo ago), licensed MIT. It adds 52 tokens to every session and 2,023 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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