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Skill evidence / database-schema-designer
Skill profile

database-schema-designer

Designs relational and document database schemas from requirements or an existing app - tables and...

What this skill does for you

Designs relational and document database schemas from requirements or an existing app - tables and collections, keys, relationships, constraints, indexes driven by real query patterns, ERDs, and reversible migration scripts - with PostgreSQL (including Supabase) as the default and MySQL, SQLite, and MongoDB supported. Use when the user wants to model data for a new app or feature, review or fix an existing schema, choose keys or indexes, plan multi-tenancy, normalize or denormalize, or write CREATE TABLE statements or migrations, even if they just describe their app and ask "how should I store this". For moving data between database providers, use database-migrator.

Quoted from the skill description in the pinned source

Who made it

Publisheronewave-ai
Repositoryclaude-skills
Installs370as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the database-schema-designer skill from onewave-ai/claude-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: f317e08649a6584ed4cd0b1ae353f123f4daf791. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: f317e08649a6584ed4cd0b1ae353f123f4daf791. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: f317e08649a6584ed4cd0b1ae353f123f4daf791. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/onewave-ai/claude-skills
Pinned skill file
View source at revision
Revision
f317e08649a6584ed4cd0b1ae353f123f4daf791
Package hash
sha256:1e9ea1350793057948d59d800b3bd5ffbbffaf17ce053a07a0808f27ad453aa8
Licence
MIT