othmangamer090-code/pi-ralph-beret-brigade
Hat-Based Multi-Agent Orchestration Loops for Pi Coding Agent 2026 – AI Workflow Revolution
Hat-Based Multi-Agent Orchestration Loops for Pi Coding Agent 2026 – AI Workflow Revolution
npx skills add othmangamer090-code/pi-ralph-beret-brigadeHat-Based Multi-Agent Orchestration Loops for Pi Coding Agent 2026 – AI Workflow Revolution
Use when creating, editing, or generating draw.io diagram files (.drawio, .drawio.svg, .drawio.png). Covers mxGraph XML authoring, shape libraries, style strings, flowcharts, system architecture, sequence diagrams, ER diagrams, UML class diagrams, network topology, layout strategy, the hediet.vscode-drawio VS Code extension, and the full agent workflow from request to a ready-to-open file.
Curate open source Chinese persona, character, and agent skill projects for AI identity development.
vstack is a VS Code–native AI engineering workflow system. It provides structured skills — executable by GitHub Copilot in Agent Mode — for planning, reviewing, verifying, and releasing software.
End-of-session knowledge cleanup with OCD-level rigor — reconciles project docs (CLAUDE.md, README.md, docs/) and agent memory against the code so nothing rots. 会话结束后对项目文档和记忆进行洁癖级审查与同步。MUST trigger when the user says: "sync up", "tidy up docs", "update memory", "clean up docs", "/sync", "/neat", "同步一下", "整理文档", "整理一下", "更新记忆", "梳理一下", "收尾", "这个阶段做完了", "新人能直接上手", or any phrase suggesting a dev milestone where knowledge needs reconciliation. Also trigger when the user reports stale docs, conflicting memories, or wants a clean handoff to teammates or other agents. Bare "整理" / "tidy" with prior dev context counts — do not under-trigger. Cross-platform: works on Claude Code, OpenAI Codex, OpenCode, and OpenClaw.
Vision-based browser automation CLI — LLM sees screenshot, clicks coordinates, repeats. No selectors. Supports Claude, Gemini, OpenAI, Ollama (local/free).
Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.