analyzer▌

Analyze spreads, over/unders, prop bets. Historical trends, situational stats, value bet identification. For entertainment/education only.

通过视觉/视频大模型分析视频内容，支持本地视频文件和互联网视频。

Automatically analyze Bilibili videos, extract frames, and generate structured documentation or tutorials using AI. \n \n Downloads videos via Bilibili API, extracts frames using FFmpeg at configurable rates (1 fps for short videos, 0.5 fps for medium, 0.2 fps for long), and deduplicates similar adjacent frames \n Batch-analyzes extracted frames in parallel using the Task tool, with dynamic batching strategy based on total frame count (1–5 batches) \n Reorganizes analysis results into polished m

29+ technical indicators with 7-tier trading signals, divergence detection, and volume confirmation for crypto and stocks. \n \n Combines 29 proven indicators (RSI, MACD, Bollinger Bands, Ichimoku, OBV, and 24 others) weighted by reliability to generate consensus-based buy/sell signals \n Detects bullish and bearish divergences across RSI, MACD, and OBV; identifies Bollinger Band squeezes and volume confirmation levels \n Supports multiple data sources including CoinGecko, exchange APIs, Yahoo F

Comprehensive analysis of Xiaohongshu notes covering keyword optimization, title appeal, content risks, and engagement potential. \n \n Analyzes six dimensions: keyword strategy and density, headline/opening paragraph appeal, sensitive content risk detection, commercial authenticity scoring, discussion triggers, and content structure \n Provides risk assessment across medical/health, financial, political, false advertising, and low-taste content categories with specific violation detection \n De

Automated analysis of patent claims for USPTO compliance with 35 USC 112(b) requirements.

Analyze Rust project structure and symbols using LSP with filtering by type. \n \n Supports three analysis modes: entire project workspace, single file, or filtered by symbol type (struct, trait, function, module) \n Uses LSP document and workspace symbol operations to extract nested symbol hierarchies with metadata like visibility, async status, and derives \n Generates multiple output formats including module trees, symbol tables by type, complexity metrics, and dependency analysis \n Handles

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Analyze code naming conventions and suggest clearer, more consistent variable, function, and class names. \n \n Identifies issues across variables, functions, classes, files, database objects, and API endpoints including vague names, misleading behavior, abbreviations, and convention violations \n Checks language-specific conventions (camelCase, snake_case, PascalCase) and framework patterns with special attention to boolean naming prefixes \n Provides prioritized suggestions with reasoning, fro

Intelligent contract review highlighting risks, key terms, and unusual provisions.