Build Python web UIs with NiceGUI — covering layout, widgets, data binding, routing, and the AgGrid data grid. Use this skill whenever the user mentions NiceGUI, wants to build a Python web app, dashboard, or internal tool, asks about ui.aggrid, ui.page, or any NiceGUI component. Triggers on: "nicegui", "ui.aggrid", "ui.page", "NiceGUI app", "python web ui", "python dashboard", "aggrid python", "build a web interface in python".
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.
Use this skill whenever company-specific jargon, acronyms, or domain terminology is needed to answer correctly.
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".
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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Reusable AI agent skills for our engineering team — composable instructions that extend coding agents (Claude Code, Cursor, Codex CLI, etc.) with company-specific workflows and best practices.
| Skill | Description |
|---|---|
| aiochannel-python | Correct patterns for channel-based asyncio concurrency in Python using the aiochannel library. Use this skill wheneve… |
| autoresearch | Autonomous iterative optimization loop for Python, SQL, ML, and Spark/Databricks. Define a measurable goal; the skill… |
| bms | Master skill for the bmsuisse platform — routes to the relevant skills based on sub-command. Always enables caveman c… |
| codeunit-analyzer | Comprehensive C-AL performance analyzer for Classic Microsoft Dynamics NAV (Navision). Targets Classic NAV anti-patte… |
| coding-guidelines-python | Apply and enforce Python-specific coding standards. Use alongside coding-guidelines for any Python file — covers typi… |
| coding-guidelines-sql | SQL and data warehouse coding guidelines for the BME data platform. Use whenever writing, reviewing, or refactoring S… |
| coding-guidelines-typescript | Apply and enforce TypeScript-specific coding standards. Use alongside coding-guidelines for any TypeScript file — cov… |
| cross-repo-discovery | Discover repos across the whole Azure DevOps org — not just the one you're sitting in — and figure out where a piece… |
| data-modeling-dimensional | Dimensional data modeling guide for the Fabricks platform — covers the full pipeline from staging through raw, transf… |
| database-in-source | Conventions for versioning a PostgreSQL schema as plain .sql files inside a database/ folder in the repo, instead… |
| databricks-cli | Databricks CLI operations: auth, profiles, data exploration, bundles, and notebook execution. Use this skill for ANY… |
| databricks-sql-autotuner | Databricks SQL query optimizer and error fixer: analyzes a slow or broken SQL query, rewrites it for speed using SQL-… |
| deslop | Remove AI slop from code and pull requests. Use this skill whenever the user wants to clean up AI-generated code, rev… |
| duckdb | Guide for working with DuckDB — CLI usage, SQL execution, reading files (CSV, Parquet, JSON, Excel), extensions (http… |
| fabricks-glossary | Use this skill whenever company-specific jargon, acronyms, or domain terminology is needed to answer correctly. |
| fabricks-sql-analyzer | Analyzes all SQL files in the Fabricks.Runtime repository, builds a dependency DAG, runs performance heuristics, and… |
| fastapi-azure-auth | Azure Entra ID SSO for FastAPI using cookie-based sessions (MSAL, /login → /callback → session). Trigger on: Azure AD… |
| fastapi-guideline | Use this skill whenever working with FastAPI — building APIs, adding routes, structuring projects, streaming response… |
| init-app-stack | Use this skill whenever the user wants to bootstrap, scaffold, or initialize a new full-stack app with a Vite + React… |
| kendo-ui-angular | Use this skill whenever the user is working with Kendo UI for Angular — including the Data Grid, TreeList, TreeView,… |
| kendo-ui-react | KendoReact component library patterns and best practices for React developers. Trigger whenever the user works with K… |
| kendo-ui-vue | Use this skill whenever the user is working with Kendo UI for Vue — including the Data Grid, DropDownList, ComboBox,… |
| nicegui | Build Python web UIs with NiceGUI — covering layout, widgets, data binding, routing, and the AgGrid data grid. Use th… |
| playwright-python | Browser automation and visual verification with Playwright in Python. Use this whenever the user wants to drive a bro… |
npx claudepluginhub bmsuisse/skills --plugin bmsUpstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
v9.54.1 — Reliability wave: tangle contextual review correction loop with hard round ceiling, progress-supervised review rounds (per-agent stall watch, descendant-tree kills), council diversity and agy pin fixes, marketplace generator source-of-truth fix, provider troubleshooting runbook and cost-expectations docs. Run /octo:setup.
Build and maintain an LLM-curated personal knowledge base with default local FastEmbed + sqlite-vec search, BM25 fusion, structured evidence, incremental caching, and a compiled graph layer.
Connect to Atlassian products including Jira and Confluence. Search and create issues, access documentation, manage sprints, and integrate your development workflow with Atlassian's collaboration tools.
AI-powered wiki generator for code repositories. Generates comprehensive, Mermaid-rich documentation with dark-mode VitePress sites, onboarding guides, deep research, and source citations. Inspired by OpenDeepWiki and deepwiki-open.
Remove signs of AI-generated writing from text, making it sound more natural and human. Based on Wikipedia's "Signs of AI writing" guide.