capacitor-vue
Guides the agent through Vue-specific patterns for Capacitor app development.
What this skill does for you
Guides the agent through Vue-specific patterns for Capacitor app development. Covers Vue 3 Composition API with Capacitor plugins, custom composables for native features, reactive plugin state, lifecycle hook patterns, Vue Router deep link integration, platform detection, PWA Elements setup, Quasar Framework integration, and Nuxt integration. Do not use for creating a new Capacitor app from scratch, upgrading Capacitor versions, installing specific plugins, Ionic Framework with Vue setup, or non-Vue frameworks.
Quoted from the skill description in the pinned sourceWho made it
Use it with Edge
Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the capacitor-vue skill from capawesome-team/skills.
Paste it into Claude, ChatGPT, Codex or Cursor.
Or read the skill source first.
Security evidence
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-27 | Pass | 0 |
| Cisco skill-scanner | 2026-09-27 | Pass | 0 |
| Semgrep Edge rules | 2026-09-27 | Pass | 0 |
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: b8438fec345efd024b7d72ec4c2a90211478da33. 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: b8438fec345efd024b7d72ec4c2a90211478da33. Raw findings: . 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: b8438fec345efd024b7d72ec4c2a90211478da33. Raw findings: . Counted findings: .
Source and licence
- Repository
- https://github.com/capawesome-team/skills
- Pinned skill file
- View source at revision
- Revision
- b8438fec345efd024b7d72ec4c2a90211478da33
- Package hash
- sha256:7961b91811062cfc5ef303a4839ce919e76728388e2b9314bd2c68b3eeae7640
- Licence
- MIT