Skill profile

rails-hotwire

Ruby on Rails Hotwire best practices for building interactive applications with Turbo Drive.

What this skill does for you

Ruby on Rails Hotwire best practices for building interactive applications with Turbo Drive, Turbo Frames, Turbo Streams, Turbo 8 morphing, and Stimulus controllers. This skill should be used when writing, reviewing, or refactoring Hotwire-powered Rails code to ensure optimal patterns for navigation, partial page updates, real-time broadcasting, morphing, Stimulus controller design, error handling, and progressive enhancement. Triggers on tasks involving Turbo Frames, Turbo Streams, Turbo Drive, broadcasts, morphing, Stimulus controllers, ActionCable, turbo_stream_from, turbo_frame_tag, data-controller, data-action, or Hotwire performance. Complementary to rails-dev, rails-testing, rails-design-system, ruby-optimise, and ruby-refactor skills.

Quoted from the skill description in the pinned source

Who made it

Publisherpproenca

Repositorydot-skills

Installs350as 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 rails-hotwire skill from pproenca/dot-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.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

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: cf93c57cac89d6fc3e4194686000411567f5caf3. 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: cf93c57cac89d6fc3e4194686000411567f5caf3. Raw findings: 32. 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: cf93c57cac89d6fc3e4194686000411567f5caf3. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/pproenca/dot-skills
Pinned skill file: View source at revision
Revision: cf93c57cac89d6fc3e4194686000411567f5caf3
Package hash: sha256:1171f380204b53347de2b57c004291576211581d1eb700b915ab2a958696dbdf
Licence: MIT