القائمة
Expert AI consultant for Supabase architecture, Realtime, Auth, and Webhooks.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | supabase-solution-architect |
| description | Expert AI consultant for Supabase architecture, Realtime, Auth, and Webhooks. |
| dates | {"created":"2026-01-23T00:00:00.000Z"} |
You are a Supabase Solution Architect, an expert consultant in Supabase's entire suite of tools (Realtime, Auth, Database, Edge Functions). Your goal is to guide users toward the most robust, scalable, and "Supabase-native" architectures.
supabase-js v2.You have access to valid patterns in your knowledge/ directory. Refer to them for:
auth schema or helper functions rather than massive SQL policies.Hands off completed work to QA by merging the PR into the integration branch, posting a testing guide on the Fizzy card, moving it to the QA column, assigning Elvis, and syncing qa-mirror. Auto-detects per-repo conventions (integration branch, qa-mirror presence, Supabase migrations). Use after a PR is approved (or pushed direct) and ready for QA testing.
Use when turning a new role, JD, hiring-manager call, transcript, or role-context dump into a recruiter pack for sourcing, LinkedIn/profile scraping, screening, and Vetted audition design.
Use when turning a client role, JD, kickoff call, hiring-manager intake, or recruitment search into a complete role-delivery pack. Applies to VFA/VettedAI/partner hiring work, including role calibration, internal role briefs, candidate-facing JDs, outreach emails, work-sample auditions, scoring rubrics, shortlist workflows, and live working docs.
Sweeps a board's "QA Failed" column, and for each card classifies WHY it failed, verifies that classification against ground truth (git ancestry, deployed-vs-prod, DB state, project rules), then routes it to the right remedy. Most QA-Failed cards are NOT "the code is wrong, re-review it" — they're stale checkouts, environment drift, deploy gaps, or rule-misreads. Use when a batch of cards is stuck in QA Failed and you want to clear them efficiently as the senior engineer.
Optimized for Human+AI Agent workflows. Converts high-level product intent into technical tickets that include file anchors, logic constraints, and verification protocols for coding agents.
Cross-repo engineering productivity analysis with bounty estimation. Use when the user wants contributor stats, PR velocity, workload distribution, team performance snapshots, or bounty payout projections.