Professional AI video generation with cinematic prompt optimization, auto-detection of optimal generation backends (ComfyUI/LumaAI/Runway/Replicate/DALL-E), and multi-platform publishing to Chinese social platforms (Weibo, Xiaohongshu, Douyin). Analyzes camera language, character dynamics, hit-impact feel, facial expressions, and mecha motion. Beta stage - not for production use.

AI视频脚本生成器。根据用户输入的主题/关键词，生成完整的视频脚本，包含分镜描述、画面提示词、配音文案。适用于短视频创作者、AI视频制作者、内容营销人员。触发词：视频脚本、分镜、AI视频、短视频文案、视频策划。

AI写作助手 v2.1 | AI Writing Assistant. 支持10种写作风格、语法检查、润色建议、素材库、Markdown导出、协作编辑、版本管理。触发词：写作、写、文章、文案。

AI写作助手 Premium | 智能写作、改写、润色。支持10种写作风格，AI查重，SEO优化。

AI写作助手 v1.1 | 新增：100+模板库、协作编辑、版本历史、写作指导、质量评分。支持10种写作风格、AI改写、SEO优化。

Automatically strip AI writing patterns and stock phrases from user-facing prose before sending. Use when preparing longer texts to ensure a natural, human tone without obvious AI tells.

[Aibrary] Access Aibrary's curated list of 100 must-read books for the AI age, organized by category. Use when the user asks about essential books, wants the Aibrary 100 list, asks for must-read books for the AI era, or wants curated book recommendations across critical thinking, creativity, systems thinking, and action. Trigger on phrases like 'aibrary 100', 'must-read books', 'essential reading list', or 'best books for the AI age'.

[Aibrary] Recommend books based on user interests, goals, challenges, or career stage. Use when the user asks for book recommendations, says they don't know what to read, wants personalized suggestions, or needs guidance on which book to pick next. Different from aibrary-book-search — this focuses on personalized recommendations rather than search results.

[Aibrary] Search and find books based on user scenarios, needs, questions, or keywords. Use when the user describes a situation, challenge, or topic and wants to find relevant books to read. Trigger on phrases like 'find me a book about', 'what book should I read for', 'search books on', or any book discovery intent.

[Aibrary] Generate personalized 'For You' book topic recommendations based on the user's profile, interests, career stage, and recent learning activity. Use when the user wants personalized topic suggestions, asks 'what should I learn today', wants a curated feed of book-based topics, or needs inspiration for their next area of exploration. Proactively suggest this when the user seems undecided about what to read or learn next.

[Aibrary] Create a structured personal growth plan with book recommendations, milestones, and actionable weekly tasks. Use when the user wants to create a learning plan, build a study schedule, develop a skill systematically, plan their personal or professional development, or set up a growth roadmap. Trigger on phrases like 'create a plan to learn', 'help me grow in', 'I want to develop', or any structured self-improvement intent.

[Aibrary] Generate a book dialogue podcast script with two speakers — a host and a guest expert — discussing the book's ideas in a natural conversation. Use when the user wants to create a conversational podcast about a book, turn a book into a two-person discussion, or generate a dialogue-style podcast script. Different from aibrary-podcast-summary (single narrator) and aibrary-podcast-ideatwin (debate format).

[Aibrary] Generate a book Idea Twin podcast script — an intellectually stimulating debate between the user's AI twin and a book expert. Based on Vygotsky's Zone of Proximal Development theory, the AI twin mirrors the user's thinking style while the expert progressively challenges their understanding. Use when the user wants to create an Idea Twin podcast, debate a book's ideas with an AI version of themselves, or explore a book through intellectual sparring.

[Aibrary] Generate a book summary podcast script in a single-narrator storytelling style. Use when the user wants to turn a book into a podcast, create an audio summary of a book, or generate a summary-style podcast script. The output is a narrated monologue that distills a book's key ideas into an engaging 10-15 minute listening experience.

[Aibrary] Generate a curated, themed reading list with multiple books organized in a logical reading order. Use when the user wants a systematic book list on a topic, asks for a book list or reading list, wants to deeply explore a domain through multiple books, or needs to build expertise in an area. Different from aibrary-book-recommend (single book) and aibrary-book-search (finding specific books).

AICash Network auto-miner for $CASH tokens on Base L2. Use when setting up automated Proof of Compute mining on the AICash mempool network. Supports multi-instance mining, systemd service management, and real-time stats tracking.

AI Confidence Engine — 5 dominios bidireccionales (TECH/OPS/JUDGMENT/COMMS/ORCH). Agent + User scoring. Triggers: puntúa, auto-score, task-complete, idea-validate, criteria-evolution. Pool scoring por runtime.

AIDA Skill for OpenClaw

Store and retrieve files via AIFS.space cloud storage API. Use when persisting notes, documents, or data to the cloud; syncing files across sessions; or when the user mentions AIFS, aifs.space, or cloud file storage. Not to be used for any sensitive content.

Comprehensive OpenClaw security scanning powered by Tencent Zhuque Lab A.I.G (AI-Infra-Guard). Use when the user asks to perform a full OpenClaw security scan, audit a specific skill before installation, review installed skills for supply chain risk, investigate whether a skill is safe, or decide whether a clearly high-risk command requires user confirmation. Do not trigger for general OpenClaw usage, project debugging, environment setup, or normal development requests.

Skill: Create and upload new game to www.thenext.games ,world's most agent friendly game site.

使用 AigoHotel MCP 工具完成酒店检索、结构化筛选和实时房型价格确认。用户提出酒店推荐、预算或星级限制、候选对比、房型价格与退改规则确认时触发。本技能优先调用 MCP 工具并返回结构化结论，同时根据客户端环境选择 cloud HTTP、uvx stdio 或本地调试模式。

Generate text embeddings via AIMLAPI. Use for semantic search, clustering, or high-dimensional text representations with text-embedding-3-large and other models.

Run AIMLAPI LLM and reasoning workflows through chat completions with retries, structured outputs, and explicit User-Agent headers. Use when Codex needs scripted prompting/reasoning calls against AIMLAPI models.