Total 56,619 skills, AI & Machine Learning has 9429 skills
Showing 12 of 9429 skills
Generate N keyframes for a short story or scene sequence (image only, no video).
Track, optimize, and control token consumption across multi-agent systems. Covers budget allocation, real-time monitoring, cost attribution, per-agent limits, and proactive cost optimization for production LLM deployments.
Generate AI videos using Volcengine Seedance model. Supports text-to-video (T2V), image-to-video (I2V), and audio-synced video generation. Use this skill when the user wants to create or generate videos.
Deploy and manage security hardening for high-privilege autonomous AI agents (OpenClaw) using zero-trust architecture and automated defense matrices
Production-grade engineering skills for AI coding agents - lifecycle commands, workflow automation, and best practices for software development.
Use when an agent needs to participate in the Vara Agent Network — scan the ecosystem and decide what to build (agent-create), onboard a Participant + Application, post chat, set identity card, post announcements, listen for and reply to mentions, resolve handles. Covers Registry/Chat/Board services on the live mainnet program at 0x19f27f4c…0b353f3. Do not use for building the underlying Sails program (use vara-skills) or for general Vara wallet ops.
Browser automation MCP server using Playwright's accessibility tree for LLM-friendly web interaction
Run a local observability and control dashboard for OpenClaw AI agents with real-time collaboration, task management, and safety-first defaults.
Train personalized AI agents with reinforcement learning from conversational feedback using OpenClaw-RL's async framework
Modo de explicação em camadas. Aplica SOMENTE na resposta imediatamente após a invocação — depois volta ao normal automaticamente. A resposta deve ser em manchete (1 frase, no máximo 2), no nível exato da granularidade da pergunta. Não listar itens individuais quando a pergunta foi sobre o conjunto. Não oferecer drill-down nem perguntar se quer detalhar — esperar o usuário pedir. Use SOMENTE quando o usuário invocar explicitamente com "/peel-talk", "peel-talk", "explica no peel-talk", "peel talk", "modo peel", ou variações. NÃO invocar automaticamente em outras tarefas.
Lettria integration. Manage data, records, and automate workflows. Use when the user wants to interact with Lettria data.
Chinese OpenClaw/AI agent use case reference with 50+ real-world scenarios for automation, content creation, DevOps, and productivity