An opinionated Expo + Supabase + EAS workflow for shipping a small app to both stores; schema/RLS design, auth, native modules, universal links, and store submission, in the order that avoids cloud-builder-only failures.
Build review-ready Capafy Skills from idea to submission. This independent publisher assistant designs the architecture, writes SKILL.md and Agent Card content, applies sector guardrails, plans integrations and data disclosures, recommends monetization and pricing, creates test criteria and brand assets, validates the package, and prepares runtime and submission ZIPs. Not affiliated with or endorsed by Capafy.
Vibe Code Reviewer — Reviews AI-generated code for the mistakes that sink vibe-coded apps: exposed API keys, missing auth, SQL injection, client-trusted payments. Built for non-engineers — plain-language findings, severity ratings, copy-paste fixes. Catches the security holes behind the "45% of AI code is vulnerable" stat before you ship.
매일 손으로 반복하던 데스크톱 앱 작업을 대화 한 줄로 처리하는 Agent입니다. 접근성 트리와 스크린샷으로 화면을 정확히 읽고, 버튼 클릭·텍스트 입력·단축키·스크롤·드래그를 대신 수행한 뒤 결과까지 스스로 검증합니다. "Spotify 지금 곡 알려줘", "이 폼 대신 채워줘"처럼 말하면 됩니다. 브라우저 창과 웹뷰, 일반 macOS 앱을 하나의 인터페이스로 다루며, 전송·삭제·구매 같은 되돌리기 어려운 동작은 명시적으로 요청할 때만 실행하는 안전 설계를 갖췄습니다. Orca 데스크톱 앱 설치와 macOS 접근성·화면 기록 권한이 필요합니다.
Your AI built the app. Find out if it is ready to ship. Audits apps built with Cursor, Claude Code, Lovable, Bolt or v0 and ranks what will break after launch, worst first: auth holes, IDOR, Supabase RLS, exposed secrets (always masked), SQL/NoSQL/command injection, SSRF, XSS, payment webhooks and deploy blockers, plus SEO and AI-search readiness. Get a ship decision, scores, evidence-backed findings (file:line) and copy-paste fix prompts. Audit-only; your code is never executed.
I build Expo / React Native apps and use Codex and Claude Code in real development workflows. This skill is based on practical task-brief patterns for UI fixes, bug fixes, features, APK/EAS Build, navigation, persistence, notifications, and Android MVPs. It turns rough requests into scoped, safe coding instructions while reducing unrelated refactoring, file changes, dependency changes, and unwanted git operations. Designed for indie developers shipping Expo apps with AI.
Audit the memory and instruction files your AI agent reads (AGENTS.md, CLAUDE.md, LEARNINGS.md, system prompts). A bundled offline Python script finds pasted secrets, injected instructions, hidden characters, risky commands, contradictions, duplicates, stale entries and broken file references, and writes cleaned copies. Download package: you bring your own AI agent and Python 3; no model is included.
Turn messy notes, prompts, chat history, SOPs, and project docs into a reusable AI agent skill. Get a clean SKILL.md, reference-file plan, privacy review, and test prompts for Claude, Codex, Capafy, or local agents.
Audit AI agents, Skills, MCP configurations, tool permissions, and coding-agent setups for prompt injection, excessive agency, credential exposure, data leakage, unsafe code execution, supply-chain risks, memory risks, missing approval controls, and runaway autonomy. Get a calibrated Security Score, Audit Confidence, evidence-backed findings, remediation steps, verification checks, and residual-risk analysis.