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A股实时行情与分时量能分析。获取沪深股票实时价格、涨跌、成交量，分析分时量能分布（早盘/尾盘放量）、主力动向（抢筹/出货信号）、涨停封单。支持持仓管理和盈亏分析。Use when: (1) 查询A股实时行情, (2) 分析主力资金动向, (3) 查看分时成交量分布, (4) 管理股票持仓, (5) 分析持仓盈亏。

This skill automates the adaptation of pre-trained machine learning models using transfer learning techniques. It is triggered when the user requests assistance with fine-tuning a model, adapting a pre-trained model to a new dataset, or performing transfer learning. It analyzes

Guide for adding a new model to the Archon engine. Use when user wants to add support for a new HuggingFace model architecture in ArchonEngine.

Guide for adding a new dataset loader to AReaL. Use when user wants to add a new dataset.

Add a new language model to the Giselle codebase. Use when the user wants to add, register, or integrate a new LLM model (OpenAI, Anthropic, Google) into the system.

Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like \

Use this skill when the user asks to add documentation, add docs, add references, or install documentation about Neon. Adds Neon best practices reference links to project AI documentation (CLAUDE.md, AGENTS.md, or Cursor rules). Does not install packages or modify code.

Guide for adding new AI providers to ClaudeBar using TDD patterns. Use this skill when:\n(1) Adding a new AI assistant provider (like Antigravity, Cursor, etc.)\n(2) Creating a usage probe for a CLI tool or local API\n(3) Following TDD to implement provider integration\n(4) User

为 OpenClaw 配置硅基流动 (SiliconFlow) 作为模型源。SiliconFlow 是国内领先的 AI 模型推理平台，提供 98+ 个 chat 模型，包含多个免费模型（Qwen3-8B、DeepSeek-R1-8B 等）。使用标准 OpenAI 协议（openai-completions）。包含 provider 注册、模型定义、别名配置、fallback 链接入和验证的完整流程。当管理员说想\

Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.

Add voice message transcription to NanoClaw using OpenAI's Whisper API. Automatically transcribes WhatsApp voice notes so the agent can read and respond to them.

Control AdGuard Home DNS filtering via HTTP API. Use when managing blocklists/allowlists, checking domain filtering status, toggling protection, or clearing DNS cache. Supports blocking/allowing domains, viewing statistics, and protecting/disabling DNS filtering.

Iteratively refine a product spec by debating with multiple LLMs (GPT, Gemini, Grok, etc.) until all models agree. Use when user wants to write or refine a specification document using adversarial development.

AI Engine Optimization - semantic triples, page templates, content clusters for AI citations

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations

Agent skill for code-analyzer - invoke with $agent-code-analyzer

Agent skill for data-ml-model - invoke with $agent-data-ml-model

This skill should be used when the user asks to \

Claude Code agent generation system that creates custom agents and sub-agents with enhanced YAML frontmatter, tool access patterns, and MCP integration support following proven production patterns

Agent skill for github-modes - invoke with $agent-github-modes

This skill should be used when the user asks to \

Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.

Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory

Agent skill for multi-repo-swarm - invoke with $agent-multi-repo-swarm

Build applications where agents are first-class citizens. Use this skill when designing autonomous agents, creating MCP tools, implementing self-modifying systems, or building apps where features are outcomes achieved by agents operating in a loop.

Agent skill for neural-network - invoke with $agent-neural-network

Agent skill for researcher - invoke with $agent-researcher

Agent skill for safla-neural - invoke with $agent-safla-neural

Agent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizer

Agent skill for v3-integration-architect - invoke with $agent-v3-integration-architect

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Build AI agents with Pydantic AI (Python) and Claude SDK (Node.js)

Guide for integrating Agentica SDK with Claude Code CLI proxy

Write reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity

Agentica server + Claude proxy setup - architecture, startup sequence, debugging

AI驱动的综合健康分析系统，整合多维度健康数据、识别异常模式、预测健康风险、提供个性化建议。支持智能问答和AI健康报告生成。

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.

Use this skill when developing Node.js backend services or CloudBase cloud functions (Express/Koa/NestJS, serverless, backend APIs) that need AI capabilities. Features text generation (generateText), streaming (streamText), AND image generation (generateImage) via

Use this skill when developing browser/Web applications (React/Vue/Angular, static websites, SPAs) that need AI capabilities. Features text generation (generateText) and streaming (streamText) via @cloudbase/js-sdk. Built-in models include Hunyuan (hunyuan-2.0-instruct-20251111

Use this skill when developing WeChat Mini Programs (小程序, 企业微信小程序, wx.cloud-based apps) that need AI capabilities. Features text generation (generateText) and streaming (streamText) with callback support (onText, onEvent, onFinish) via wx.cloud.extend.AI. Built-in models include

Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate

Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual

AI 新闻聚合与热度排序工具。当用户询问 AI 领域最新动态时触发，如：\

基于用户画像和向量化笔记提供个性化对话。当用户需要个性化交流、上下文感知的回应，或希望 AI 记住并引用其之前的想法和笔记时使用。

Generate professional PDFs from Markdown using Pandoc and LaTeX with AI-powered content generation. Creates whitepapers, term sheets, memos, agreements, SAFEs, NDAs, and more.

Generate ultra-photorealistic portraits using structured JSON prompts. Use when creating AI-generated portraits, character art, or realistic human images with cinematic quality and detailed specifications.

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that