Interested in working together?
Interested in working together?
AI coding assistants write solid code but don't know about your project's launch readiness. They won't warn you about missing error tracking before a deploy, suggest CSRF protection when you write auth code, or remind you that you need a privacy policy. Every launch, developers rediscover the same gaps — security headers, health endpoints, legal pages, billing webhooks — because nothing tracks readiness across sessions.
Sole creator. Designed the plugin architecture, 15 domain skills, 4 lifecycle hooks, 60+ reference documents, QA test framework, and landing page. Conducted competitive analysis against 25+ ecosystem repos. Open-sourced on GitHub under MIT license.
15 domain skills organized into 4 lifecycle phases (Design → Build → Ship → Grow), each with a SKILL.md file and references/ directory containing copy-paste templates. A JSON state file (.claude/shipwise-state.json) tracks launch readiness across sessions. Four bash hooks fire at lifecycle moments: session start (injects readiness score), post-edit (contextual whispers for auth/billing/infra code), pre-deploy (P0 gap gate), and session end (auto-progress detection). An orchestrator skill (launch-assess) runs the initial diagnostic interview, scans the codebase, and generates the personalized checklist. Experience-level calibration adapts all output for beginner, intermediate, or senior developers.
Distributed as a Claude Code plugin — installable via terminal. All state stored locally in .claude/ per project. GitHub Pages landing page. GitHub Actions CI for plugin structure validation. Multi-agent compatible via convert.sh (Codex, Cursor, Gemini CLI, Windsurf, Aider, OpenCode, Augment, Antigravity). No backend, no auth, no infrastructure.
Only lifecycle-aware plugin in the Claude Code ecosystem. Covers ground no individual skill does: the intersection of engineering, security, legal, business formation, and growth — orchestrated with phase-aware routing and persistent readiness tracking. Validated with the strongest proof point in the agent skills space: a reproducible Before/After test showing 2× security improvement on the same prompt.