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有声书制作：将长文、小说、报告分段转为语音音频，保存到书桌供随时收听。
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
| name | audiobook-maker |
| description | 有声书制作：将长文、小说、报告分段转为语音音频，保存到书桌供随时收听。 |
| tags | ["tts","audio","productivity"] |
当用户要求"把这篇文章读出来"、"生成有声书"、"我要听这个报告"时使用。
chapter_01、chapter_02）audio/ 子目录A股量化选股扫描器，模型驱动自适应因子评分。通过 Tushare 扫描全 A 股 5000+ 只股票，检测市场环境（波动率、动量、资金面、板块轮动），动态调整因子权重，输出选股榜/异动榜/行业分布的 HTML 报告。适用于 A 股选股、量化筛选、因子分析、市场环境诊断、板块轮动、动量策略、价值投资筛选。Use for Chinese A-share stock screening, quantitative stock picking, sector rotation, market regime detection.
3-layer personality system for AI agents: Yuan (base persona), Ishiki (private self-awareness), Public Ishiki (external behavior rules). Give your agent a consistent character, emotional depth, and safe guest interaction boundaries. Use when: (1) Want agent to have a consistent personality, (2) Agent needs different behavior for owner vs strangers, (3) Building a personal AI companion, (4) Agent responses feel generic and robotic, (5) User says 'be more like...', 'act as...', or wants to customize agent character.
Auto-snapshot workspace before dangerous commands (rm -rf, git clean, git reset --hard). Zero-cost hardlink dedup on macOS/Linux, robocopy mirror on Windows. Use when: (1) About to run destructive file operations, (2) User asks to protect workspace files, (3) Before bulk delete/move operations, (4) User mentions fear of losing files. Also provides snapshot listing and one-command restore.
Click-to-zoom lightbox for chat images, screenshots, and generated visuals. Scroll-wheel zoom (0.5x–5x), drag-to-pan, pinch gesture on mobile, keyboard shortcuts. Zero dependencies — pure CSS + vanilla JS. Use when: (1) Chat contains images the user wants to inspect, (2) Browser screenshots need closer examination, (3) Generated images are too small in the chat bubble, (4) User says 'zoom in' or 'enlarge' about an image.
Persistent cross-session memory system with fact extraction, semantic search, and compiled memory layers. Your agent remembers everything across sessions — user preferences, project context, past decisions, personal details. Use when: (1) User references something from a previous conversation, (2) Agent needs project context it learned before, (3) User says 'remember this' or 'do you remember when...', (4) Starting a new session that should inherit past knowledge, (5) Agent keeps forgetting things between sessions.
Quantitative stock scanner with model-driven adaptive factor scoring. Scans ~100 US large/mid-cap stocks via Finnhub API, detects market regime (volatility, momentum, breadth), dynamically adjusts factor weights, and produces ranked selection/anomaly lists with HTML reports. Use for US stock screening, quantitative stock picking, factor analysis, market regime detection, stock scoring, building a model portfolio, or finding momentum/value/quality plays.