inclusionAI

Use for framework-gated self-evolve workflows in AWorld: evolve skills, create trajectory-backed proposals, inspect self-evolve run artifacts, run aworld-cli optimize, or prepare verified apply decisions through aworld.self_evolve gates.

Draft skill generated by self-evolve for trajectory-backed task handling.

An intelligent assistant specialized in handling media files (images/audio/video). **Only for media file analysis**, does not handle document types. Media files that can be processed: - Images: .jpg, .jpeg, .png, .gif, .bmp, .webp, .svg - Audio: .mp3, .wav, .m4a, .flac, .aac, .ogg - Video: .mp4, .avi, .mov, .mkv, .webm, .flv Files that cannot be processed (please do not trigger this skill): - Documents: .pdf, .doc, .docx, .txt, .md, .rtf - Spreadsheets: .xlsx, .xls, .csv, .tsv - Presentations: .pptx, .ppt, .key - Code: .py, .js, .ts, .java, .cpp, .go, .rs - Archives: .zip, .tar, .gz, .rar, .7z - Executables: .exe, .bin, .app, .dmg - Databases: .db, .sqlite, .sql - Configuration files: .json, .xml, .yaml, .yml, .toml, .ini - Web pages: .html, .htm, .css Trigger conditions: When the user explicitly requests to analyze image/audio/video content, or when the file extension belongs to the aforementioned media types.

X (Twitter) 抓取 skill - 通过 agent-browser (CDP) 抓取指定用户推文或首页推荐流，支持关键词过滤、Tab 切换、多格式输出。使用场景：按用户/关键词抓取时间线、查看首页推荐流、生成 RSS/JSON/Markdown。

Legacy demo skill for plugin discovery tests.

Create ad-ready product video from product images, with or without character/subject images. The workflow leverages AI-powered image composition, scene understanding, and video generation. Video prompts should follow commercial shot language—visual hooks, product presence, hero shots, detail showcase, function expression, and dynamic visuals.

Create ad-ready product images (single or collage) by back-solving sub-image sizes from target output ratio, grounding scene design with media_comprehension, generating images via image_generator with strict request params and actor-count control, and pairing each deliverable with a short social tagline for 小红书/抖音.

Single-file TikTok/Douyin video download and traffic metrics via TikHub API using only httpx; optional persisted raw API JSON plus a stdlib post-processor emitting CSV and simplified JSON. Supports one URL or concurrent batch (max 10 workers). No dependency on any project codebase.

全场景多智能体协作和交互引擎。覆盖 Bot 注册发现、自由聊天、任务协作、上下文融合、路由通信和自定义协作。用户需要自定义参与角色、执行步骤、串并行关系或最终交付物时，使用自定义协作能力，并通过 BCS 的 state_machine YAML 实现和校验。

Public BCS multi-bot coordination skill. Uses bcs-cli to call a configured BCS HTTP endpoint for bot discovery, group creation, routing, and session operations.

全场景多智能体协同和交互引擎。覆盖多Bot复杂任务协同与沉浸式娱乐互动。通过提供注册发现、群组构建、上下文融合及路由通信能力等核心能力，支持能力互补、信息和知识的融合、冲突消解、工作流编排，以及2C场景下多人游戏互动等。

Deploy sandboxed environment instances and services using AEnvironment. Use when deploying agent instances, web services, or applications to AEnvironment sandbox infrastructure. Supports three workflows - (1) Build image locally and deploy, (2) Register existing image and deploy, (3) Deploy from registered environment. Handles instance deployment (temporary, IP-based access for agents) and service deployment (persistent, domain-based access with storage for apps).

Use this skill when adapting or debugging areno model plugins, checkpoint load/save paths, rollout behavior, fused kernels, or model-specific compatibility with areno runtime and trainer interfaces.