Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use when you want to measure and improve the performance of a feature in the running extension, hunt regressions, or perf-tune before shipping. Standalone for perf-tuning an existing feature; also invoked by /live-exercise Phase 7. Not for static code review without measurement.
Use when touching any CSS — new files, edits, audits, refactors, `<style>` blocks, CSS-in-JS, Tailwind config, design-token files, or reviewing CSS a teammate wrote. Applies to vanilla CSS, shadow DOM internals, web-component consumers, VS Code webviews, and framework-scoped styles. Skip only for files with no styles at all (e.g. `.py`/`.go`/`.rs` without embedded CSS).
Prioritize triaged/investigated issues — recommends shortlist, backlog, won't fix, or community contribution with priority signals and draft communications
Update GitHub issues from triage, investigation, or prioritization reports — adds labels, posts comments, sets milestones, and closes issues with safety checks
ET Excel MCP workflow for reading, writing, styling, transforming, and inspecting xlsx data. Use when operating Excel cells, ranges, sheets, formulas, charts, merges, batch data import/export, or editing Luban source spreadsheets before export.
ET Luban export workflow. Use when exporting generated C# config/data code, refreshing aggregated luban.conf, validating CodeMode outputs, or troubleshooting ET.ExcelExporter, LubanGen.ps1, table definitions, beans, enums, Defines, and Luban export failures.
Pick the right inference backend for a MiniCPM5-1B checkpoint and route to a backend-specific cookbook skill. Use when the user wants to deploy / serve / chat-with / benchmark a MiniCPM5 model and has not yet committed to a specific engine, or when they say "deploy MiniCPM5", "run MiniCPM5", "serve MiniCPM5", "MiniCPM5 推理", "部署 MiniCPM5".
Run MiniCPM5-1B with llama.cpp using the released GGUF artifacts (F16 / Q8_0 / Q4_K_M). Use when the user wants CPU-only / consumer-GPU / cross-platform native deployment, asks for "llama.cpp", "llama-cli", "llama-server", "GGUF", or has no Python available.
Run MiniCPM5-1B in LM Studio (desktop GUI) using either the GGUF runtime (cross-platform) or the MLX runtime (Apple Silicon, faster). Includes OpenAI-compatible local server. Use when the user mentions "LM Studio", desktop GUI inference, "lms" CLI, or wants a no-code chat UI for MiniCPM5.