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Skill evidence / alba-inertia
Skill profile

alba-inertia

Alba serializers + Typelizer for type-safe Inertia Rails props with auto-generated TypeScript types.

What this skill does for you

Alba serializers + Typelizer for type-safe Inertia Rails props with auto-generated TypeScript types. Use when serializing models for Inertia responses, setting up Alba resources, generating TypeScript types from Ruby, or using Inertia prop options (defer, once, merge, scroll) with Alba attributes. Replaces as_json with structured, auto-typed ApplicationResource, page resources, and shared props resources. When active, OVERRIDES the `render inertia: { ... }` pattern from other skills : use convention-based instance variable rendering instead.

Quoted from the skill description in the pinned source

Who made it

Publisherinertia-rails
Repositoryskills
Installs351as 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 alba-inertia skill from inertia-rails/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: 6b63b3731a06ad3d01c515477b6b8852708871a6. 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: 6b63b3731a06ad3d01c515477b6b8852708871a6. 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: 6b63b3731a06ad3d01c515477b6b8852708871a6. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/inertia-rails/skills
Pinned skill file
View source at revision
Revision
6b63b3731a06ad3d01c515477b6b8852708871a6
Package hash
sha256:ea7f3d50b9d9558b96114db8516d01db128b2a96ce3c3d2e083a3947d9145f0f
Licence
MIT