Opinionated conventions for using Makefiles as a clean, safe task runner for any project.
Act as Core Systems Architect. Upgrade FRACTALMESH/TITAN OMEGA to v10355.0. Expose raw JSON streams (system, telemetry, revenue, logs) via Termux Node.js single-process HTTP/SSE on port 7789 with watchdog. Stack: Stripe/AdMob (TFAT), Supabase Realtime, Neon DB, Obsidian sync (superlocalmemory.git), ngrok, OpenHands, Hermes, KAI9000. Front-end: dense neon-dark console showing raw data blocks & log window. Use box-counting fractal dimension routing optimization ($D=4.5-7.5$).
Reviews PostgreSQL and MySQL schema migrations (raw SQL or ORM-generated) for table locks, rewrites, data loss, and breaking changes, then proposes safe zero-downtime rewrites with a clear verdict.
Profiles CSV and spreadsheet exports before you trust them: infers column types and measures missing values, duplicates, mixed types, outliers, date format chaos, and key uniqueness with a tested Python script, then writes a prioritized data quality report with safe fixes.
Lints .env and .env.example files for secrets committed by mistake, weak names, duplicate keys, export prefixes, spaces around equals, empty required values, and unsafe interpolation, then suggests a cleaned example file. Use when a user asks "is this .env safe to commit?", "why won't dotenv load?", or "diff my .env.example". Includes a tested stdlib Python linter.
Scans your project's dependencies for their licenses, flags ones that clash with how you ship your product, and explains each risk in plain words before a release.
Helps new teammates learn a repository: answers 'where is X handled?' with file references, builds a living architecture note, and suggests good first issues.
Answers 'why on earth is this code like this?' by digging through git history, old PRs and issues, and writes the backstory of any file or function in plain English.
Rides along with whoever is on call: when an alert fires it gathers recent deploys, related past incidents and the relevant runbook, and posts a first-look summary before the human has opened the laptop.
