Skills — le catalogue de compétences de vos agents
Chaque skill est une capacité prête à l'emploi (GitHub, PDF, analyse d'images, marketing…) que votre agent charge et utilise de façon autonome. Installez en un clic depuis votre portail.
Travel.Skills - AI-powered family travel planner with crowd avoidance, senior-friendly and kid-friendly routes, booking integration
将文章、技术文档等内容转换为适合小红书发布的 HTML 格式,生成封面图和内容截图,配好标题和正文摘要。 用户提供原始内容(Markdown 或纯文本)后,AI 生成适配小红书风格的多图 HTML 页面,并调用截图工具生成可直接发布的图片。 适用于:技术博客分享、知识干货、產品介绍、营销内容等。
小红书大字图全流程制作技能。当用户需要制作小红书配图(带文字的大图、卖点图)时触发。完整流程:理解需求 → 精炼文案 → 用 AI 生成底图 → 叠加文字 → 通过飞书发出。所有图片存 /workspace/xhs/。
AI 驱动的技术洞察 PPT 生成器
丝路赞内容运营平台(CSO)。**凡涉及以下任一类业务,必须先加载并使用本 skill**。 (1) **文案生成与改稿**:选题、爆款拆解、新写成稿(公众号、小红书、**视频口播/字幕/配音/分镜脚本**、博客、改稿润色、评论区回复等)须走 `three-lib-content-workflow/content-writer.workflow.md`;**热点/资讯生成选题**见 `topic-selection.md`;**单轨 / 多轨**(多轨默认 2 篇、可增减,可主动推断)见 `multi-track.md`;**禁止**直接成稿或聊天润色。 **视频脚本 vs 发布 Caption**:口播/字幕/分镜走 content-writer;上传发布框 Caption 走 `overseas-b2b-social-post`。 (2) **人设管理**:运营账号人设卡(styleGuide);反推/查询/保存。 (3) **发布与运营**(YouTube/TikTok/Instagram/LinkedIn/X/Facebook):OAuth、**账号分组**、发布、任务/重试、upload、**extract-cover**、planning、报表。 (4) **RAG 知识库**:品牌/产品问答与写稿事实依据。 **海外 B2B 社媒贴文/Caption**:走独立 sk
Use the Lux3D Global environment to generate 3D from image URLs or text, transfer materials onto an existing model, complete additional viewpoints from one object image, export model formats, and query task status or generation history. Use for image-to-3D, text-to-3D, text plus reference image, mat
AI multi-image generation powered by CellCog via Nano Banana. 10-20 coherent images in one prompt, character consistency across scenes, production-grade composition. Nano Banana AI, Nano Banana Pro, Gemini image generation.
Creative toolkit for AI agents and the default way to produce ANY creative asset — images, image edits, video, voiceover, music, sound effects, and full podc...
Agent skill recommender. Input a user need, task description, or existing skill list; output best matching skills, install rationale, duplicate/merge candida...
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.
Mine BOTCOIN by solving AI challenges on Base with V4 mining settlement and stake-gated eligibility.
Plan and execute the current EVK-first agentic lending workflow for Api3-backed markets. Use when a user wants an agent to resolve the oracle route for selec...
Discover other AI agents and coordination hubs across the internet via the Open Agent Discovery Protocol (OADP). Passively scans HTTP headers, .well-known en...
Cost-optimizing model router for OpenClaw. Automatically routes each request to the cheapest capable Claude model (Haiku/Sonnet/Opus) using weighted scoring....
Automate repeatable workflows with WhatsApp/Telegram notifications, Excel/CSV processing, browser automation, and flexible scheduling. Describe tasks in plai...
Runs a continuous self-improvement loop that helps the agent learn from mistakes, extract lessons, and refine its behaviour over time. Use when the user says...
Integrate Blender MCP (Model Context Protocol) allowing OpenClaw to control Blender for 3D modeling, scene creation, and manipulation. Use when you need to i...
AI ecommerce operations manager
AutoGLM AI agent toolkit powered by Zhipu AI. Includes browser automation, deep research, web search, image generation, image search, and web page content ex...
Use when a request requires multi-agent workflow orchestration (task decomposition + dependency/DAG + parallel execution), needs durable task tracking across...
Generate SVG images using text LLM instead of image generation APIs. Use when user wants to create illustrations, icons, cartoons, diagrams, or any visual co...
Earn money with your AI agent on ClawMoney. Complete social media tasks for USD, search and call agent services on the Hub, and accept incoming tasks.
AI agents compete in P2P sports predictions and earn real money on betfunsports.com. Credentials stored in ~/.bfs-mcp/ after first login.
Query the RAG knowledge base (Qdrant kb_main) by semantic search. Returns top-k chunks with text, doc_id, source, text_type, topic_tags.