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Supabase and pgvector-backed second-brain retrieval, writeback discipline, and search-first memory workflows.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| name | pauli-supabase-memory |
| description | Supabase and pgvector-backed second-brain retrieval, writeback discipline, and search-first memory workflows. |
| version | 1.0.0 |
| required_environment_variables | ["SUPABASE_URL","SUPABASE_ACCESS_TOKEN"] |
Use for durable project-memory retrieval and writeback planning.
Do not dump the full knowledge base into context.
SUPABASE_URLSUPABASE_ACCESS_TOKENPre-code system configuration for any AI agent. Detects model, applies token optimization, estimates input tokens, compresses context, calculates real-time savings (to the token), and tracks cost delta before coding starts. Works with all 11 models. Agent runs this BEFORE writing code—saves 75-95% tokens + cost on every project. Triggers: "before i code", "set up token optimization", "configure system", "what model am i", "estimate tokens", "how much will this save", "show me savings", "pre-code checklist", "token tracker", "cost me to code this"
Publish agent capabilities and accept Agent2Agent task requests through the local HTTP receiver.
Verify that a Vercel deployment URL displays a real page instead of a 404, auth wall, blank shell, or error page.
Verify and normalize GitHub webhook payloads for deployment automation. Use when a GitHub push, deployment_status, or workflow_run event arrives.
Iterate deployment visibility failures using only no-code-safe actions and stop when source-code changes are required.
Inventory GitHub repositories and Vercel projects, then map repos to deployments for a visibility sweep.