bms

Correct patterns for channel-based asyncio concurrency in Python using the aiochannel library. Use this skill whenever the user is working with aiochannel, writing producer/consumer pipelines in asyncio, or asking how to pass data between async tasks without a shared queue. Trigger on any mention of aiochannel, Channel[T], async producer/consumer, pipeline stages in asyncio, or "how do I pass items between coroutines". Also trigger when the user is about to write a producer that feeds a consumer task — even if they don't name aiochannel explicitly.

Autonomous iterative optimization loop for Python, SQL, ML, and Spark/Databricks. Define a measurable goal; the skill runs code changes, measures, and keeps/reverts until you stop it or the budget runs out. Use for: Python runtime (cProfile, hyperfine), SQL latency, pytest pass rate/coverage, ty/pyright errors, ML metrics (loss/accuracy/F1), memory, PySpark/Spark Connect. Trigger on: "optimize this", "autoopt", "autoresearch", "keep trying until it's faster", "hill-climb this", "run experiments", "iterate autonomously", "optimize SQL performance", "tune this model", "optimize this Spark job", "tune my PySpark pipeline", "improve test coverage automatically". DO NOT USE FOR: one-shot fixes, code review without a metric, tasks with no measurable outcome.

Master skill for the bmsuisse platform — routes to the relevant skills based on sub-command. Always enables caveman communication style. Use /bms for core guidelines (SQL + Python + TypeScript + glossary), /bms sql for SQL + Databricks optimization, /bms python for Python + autotuner, /bms data for dimensional modeling + Fabricks. Trigger on: "/bms", "/bms sql", "/bms python", "/bms data", "bmsuisse mode", "activate bms".

Comprehensive C-AL performance analyzer for Classic Microsoft Dynamics NAV (Navision). Targets Classic NAV anti-patterns: N+1 queries, LOCKTABLE overuse, FlowField overuse, key/index misalignment, heavy transactions, and page trigger abuse. Zero-dependency Python — no packages required. Use when the user asks about analyzing codeunits, tables, or pages, finding performance bottlenecks, locking/blocking issues, or optimizing Classic NAV / C-AL code. Trigger: "/codeunit-analyzer", "analyze codeunit", "scan bottlenecks", "performance issues".

Apply and enforce Python-specific coding standards. Use alongside coding-guidelines for any Python file — covers typing, Pyright, dataclasses, enums, abstract base classes, mutable defaults, and module-level state. Trigger on any Python work session, PR review, or when the user asks to "follow Python guidelines", "check Python style", or "enforce Python standards".