aris-run-experiment
Deploy and run ML experiments on local, remote, Vast.ai, or Modal serverless GPU. Use when user says "run experiment", "deploy to server", "跑实验", or needs to launch training jobs.
Find the perfect capability for your agent.
Deploy and run ML experiments on local, remote, Vast.ai, or Modal serverless GPU. Use when user says "run experiment", "deploy to server", "跑实验", or needs to launch training jobs.
Use when a quest already has a paper, draft, or review package and the task is to map reviewer feedback into experiments, manuscript deltas, and a durable rebuttal / revision response.
Autonomously improve a generated paper via GPT-5.4 xhigh review → implement fixes → recompile, for 2 rounds. Use when user says "改论文", "improve paper", "论文润色循环", "auto improve", or wants to iteratively polish a generated paper.
指导 AI 基于 chanlun-pro 项目进行二次开发,包含安装配置、行情获取、缠论计算、回测、选股和策略编写
Develops with Turbo Streams for partial page updates and real-time broadcasting. Activates when using turbo_stream() or turbo_stream_view() helpers; working with stream actions like append, prepend, replace, update, remove, before, after, or refresh; using the Broadcasts trait, broadcastAppend, broadcastPrepend, broadcastReplace, broadcastRemove, or broadcastRefresh methods; listening with x-turbo::stream-from; using the TurboStream facade for handmade broadcasts; combining multiple streams; or when the user mentions Turbo Stream, broadcasting, real-time updates, WebSocket streams, or partial page changes.
Tests Turbo Laravel features in PHPUnit or Pest. Activates when using the InteractsWithTurbo trait; simulating requests with $this->turbo(), $this->fromTurboFrame(), or $this->hotwireNative(); asserting responses with assertTurboStream(), assertNotTurboStream(), assertRedirectRecede(), assertRedirectResume(), or assertRedirectRefresh(); faking broadcasts with TurboStream::fake(), assertBroadcasted(), assertNothingWasBroadcasted(), or assertBroadcastedTimes(); writing feature tests for Turbo Stream responses; or when the user mentions testing Turbo, testing broadcasts, or Turbo test assertions.
Generate specialized skills for each subsystem in the monorepo. Creates shared language skills and subsystem-specific checklists for high-quality AI code generation.
RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers. Covers ingestion, retrieval, embeddings, and performance.
Designer subsystem patterns for LlamaFarm. Covers React 18, TanStack Query, TailwindCSS, and Radix UI.
Comprehensive code review for diffs. Analyzes changed code for security vulnerabilities, anti-patterns, and quality issues. Auto-detects domain (frontend/backend) from file paths.
Play Clash of Clans on mobile with autonomous tactical decisions. Use when the user asks to attack, farm resources, push trophies/rank, run Builder Base attacks, collect rewards, or manage daily village upgrades in Clash of Clans.
Play Klondike Solitaire in mobile solitaire apps. Use when the user asks to play/solve/win solitaire, needs move-by-move card decisions, or asks for solitaire operation guidance on phone UI (tap, swipe-based drag, stock cycling, and foundation strategy).
Refine draft skills into strict, reusable SKILL.md documents with stable triggers, preconditions, and failure branches.
Deep reasoning framework for complex tasks. Activates for multi-step problems, high uncertainty, or trade-off decisions. 复杂问题推理框架。遇到多步骤、高不确定性、需要权衡取舍的任务时启用。Triggers: analyze complex problem, make decision, weigh options, debug hard bug, architecture design, strategy planning, think it through, help me analyze, this is complicated, deep thinking | 触发场景:分析复杂问题、做决策、权衡方案、调试疑难 bug、架构设计、策略规划、想清楚再做、帮我分析一下、这个问题比较复杂、深度思考。Do NOT activate for simple Q&A, casual chat, or single-step tasks. 不要在简单问答、闲聊、单步操作时启用。
Z.AI CLI providing: - Vision: image/video analysis, OCR, UI-to-code, error diagnosis (GLM-4.6V) - Search: real-time web search with domain/recency filtering - Reader: web page to markdown extraction - Repo: GitHub code search and reading via ZRead - Tools: MCP tool discovery and raw calls - Code: TypeScript tool chaining Use for visual content analysis, web search, page reading, or GitHub exploration. Requires Z_AI_API_KEY.