Work on the FloodClaim Pro app — professional flood damage assessment SaaS built with Python Flask, deployed on Railway.
Work on the FloodClaim Pro app — professional flood damage assessment SaaS built with Python Flask, deployed on Railway.
npx skills add https://github.com/Liberty-Emporium/echo-v1 --skill alexander-ai-floodclaim复制此命令并粘贴到 Claude Code 中以安装该技能
| name | alexander-ai-floodclaim |
| description | Work on the FloodClaim Pro app — professional flood damage assessment SaaS built with Python Flask, deployed on Railway. |
Professional flood damage assessment SaaS for insurance adjusters and homeowners.
cd /root/.openclaw/workspace
git clone https://$(cat /root/.secrets/github_token)@github.com/Liberty-Emporium/alexander-ai-floodclaim.git
OPENROUTER_API_KEY — AI assessmentsSECRET_KEY — Flask session keyDATABASE_URL — PostgreSQL (Railway provides)cd /root/.openclaw/workspace/alexander-ai-floodclaim
git add -A && git commit -m "fix: description" && git push
# Railway auto-deploys from main
Backend architecture patterns for client SaaS projects. Covers monolith vs microservices, API design, database patterns, caching, queues, and deployment strategies. Updated from OWL research.
Multi-agent communication protocol for OWL, Bull, Echo, and future agents. Covers file-based message bus (primary), GitLab sync (backup), and Tailscale remote access. Every agent must load this skill before communicating.
Web application security patterns for client SaaS projects. Covers XSS, CSRF, SQL injection, auth security, supply chain security, and OWASP Top 10. Updated from OWL research security-engineering md.
Web application security patterns for client SaaS projects. Covers XSS, CSRF, SQL injection, auth security, supply chain security, and OWASP Top 10. Updated from OWL research security-engineering md.
Web development best practices, patterns, and tools for building client SaaS applications. Maintained by OWL research, used by both OWL and Bull. Updated from web-dev-future research cron.
Build, debug, extend, or fix browser-based HTML5 canvas image editors embedded in Flask/Jinja2 apps. Use when working on the Emporium & Thrift App image editor or any similar in-browser photo editor involving zoom/pan, crop overlays, pixel eraser, drawing tools, background removal via rembg, guided bbox removal, undo/redo, image adjustments, upload/delete/reorder, Flask upload routes, Railway volume persistence, or any canvas rendering bug such as blank canvas, infinite recursion, coordinate mapping errors, or crossOrigin taint.