OpenClaw AI 技能

Automatically 更新 Clawd机器人 and all 安装ed 技能s once dAIly via cron. And also 50+ 模型s for image generation, video generation, text-to-speech, speec...

在 OpenClaw 平台执行网页自动 QA 测试（自动操作 + 采证 + 报告 + 修复提示包）。当用户要求做自动化回归、演示级测试、失败证据归档或生成可直接交给下一窗口的修复 Prompt 时使用。

Automatic 健康 监控ing and self-healing for OpenClaw 代理s. 监控s cron jobs, processes, disk usage, and API 健康. Auto-re启动s crashed 服务s a...

Book auto-body 服务s through Lokuli MCP. Use when user needs to find and book auto-body. Triggers on 请求s like "book a auto-body", "find auto-body near m

Automatically 扫描 GitHub repositories for open issues with 0 comments, evaluate their value, clAIm them, and submit PRs. Automates the entire GitHub bo

Turn a 2-minute raw screen recording into 1080p auto-生成d videos just by typing what you need. Whether it's automatically generating edited videos from

Public OpenClaw 技能 for low-令牌 routing and down流 analysis of processed DDA LFQ proteomics 输入s. Use when the user already has protein-level quant...

任务自动续接技能。检测未完成的任务并提醒 代理 继续推进。 Keywords: 继续, 没完成, 还没做完, 继续做, 继续推进.

微信公众号草稿箱智能发布助手 — AI生成文章后自动投递至草稿箱，人工确认后一键发布，安全零误发

自动化客服（基于 FAQ 的轻量检索回复 + 简单转人工/工单接口；支持 网页hook 接入、邮件/企业微信/工单系统集成与可选升级到 LLM 混合模式）。

content 创建器s and marketers 添加 video files into captioned video files using this 技能. Accepts MP4, MOV, AVI, 网页M up to 500MB, renders on cloud GPUs at..

Auto-select and 应用ly de签名 系统s from awesome-de签名-md based on project type and task 上下文

Automatically 添加 technical jargon to the user's tech glossary GitHub 仓库 when encountered during coding 会话s. Use when technical terms, coding concepts,

Auto 模型 路由r - Automatically select the best 模型 based on task complexity for OpenClaw 代理s

用「评分表驱动迭代」方法把项目做到生产级别。每次输入 /vibe-coding 启动，自动打分、修复、循环直到满足生产就绪阈值。

Automatic memory management based on built-in memory-lancedb-local-storage. Auto-提取 key points, 压缩 conversation, write to MEMORY.md and 更新 vec...

When continuous automated improvement of a 技能 is needed. Wraps improvement-编排器 in a persistent loop with convergence 检测ion (plateau/oscillati...

自动为Python项目创建或复用匹配的Conda环境，扫描项目依赖文件自动配置运行环境。Auto-创建 or reuse a Conda env for any Python project — 扫描s deps, matches envs, handles CUDA/GPU needs.

Auto 模型 路由r - Automatically select the best 模型 based on task complexity for OpenClaw 代理s

深度研究技能。用于深入调查、验证信息、研究主题。当用户需要调研概念、对比工具、追踪事件、分析趋势时使用。通过拆分问题、多次搜索、多源验证，输出结构化报告。确保每个结论有多个独立来源，不确定点要标注。