principle-data-modeling SKILL.md skillA
principle-data-modeling from lugassawan/swe-workbench is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add lugassawan/swe-workbench/principle-data-modeling@git:20260828.71a6399Pins git:20260828.71a6399 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- lugassawan/swe-workbench
- Path
skills/principle-data-modeling/SKILL.md- Versions recorded
- 5
- Latest version
- git:20260828.71a6399, committed Aug 28, 2026
- First version recorded
- May 8, 2026
- Size
- 7,059 bytes
- Repository stars
- 3
- License
- MIT
Data modeling — relational vs document vs KV vs graph selection, normalization depth, indexing strategy, hot-key avoidance, schema evolution via expand–contract, query-first design, retention and archival. Auto-load when designing schemas, schema evolution, indexing strategy, hot-key avoidance, query-first design, or data retention.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
<!-- preload-canary: SWB-PRELOAD-PRINCIPLE-DATA-MODELING --> # Data Modeling ## The one rule **Model for the queries you'll run, not the data you have.** Start by listing access patterns. Let them shape tables, indexes, and storage choice. A schema designed from the entity graph first almost always requires painful rework once query patterns solidify. ## Storage paradigm selection | Access pattern | Best fit | Avoid | |---|---|---| | Joins across entities, strong consistency, ad-hoc queries | Relational (Postgres, MySQL) | Document — you'll re-implement joins in app code | | Flexible schema, deep nested reads, document-centric writes | Document (MongoDB, Firestore) | Relational — schema rigidity fights you | | Point lookups, extreme throughput, mostly single-key reads | KV / wide-column (Redis, DynamoDB single-table) | Relational — joins at scale hurt. Note: DynamoDB supports composite keys and GSIs; it can serve multi-entity patterns when modeled carefully. | | Highly connected data, path/graph traversal queries | Graph (Neo4j, Amazon Neptune) | Relational — recursive CTEs degrade fast | …
Read the whole file at its exact version.
How to install
mdr add lugassawan/swe-workbench/principle-data-modeling@sha256:09fa635e9bae0d0bThe line at the top of this page pins the label git:20260828.71a6399, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_3yf4w2mcepyuq54y)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between May 8, 2026 and Aug 28, 2026, about one every 28 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260828.71a6399 latest | 2026-08-28 | 71a6399 | 7,059 B | A | view · diff |
| git:20260820.16e7f08 | 2026-08-20 | 16e7f08 | 7,133 B | A | view · diff |
| git:20260725.074b496 | 2026-07-25 | 074b496 | 7,130 B | A | view · diff |
| git:20260529.87e03b7 | 2026-05-29 | 87e03b7 | 7,069 B | A | view · diff |
| git:20260508.e2e84c0 | 2026-05-08 | e2e84c0 | 6,866 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7059 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
lugassawan/swe-workbench · 3 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_3yf4w2mcepyuq54y GET https://markdownregistry.com/api/v1/resolve?ref=lugassawan/swe-workbench/principle-data-modeling GET https://markdownregistry.com/api/v1/blob/09fa635e9bae0d0b93fe835b9c297d4491c6034c334c1f3ff9a514fdba83e3b8
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.