Loading...
Loading...
Found 144 Skills
OpenClaw Chinese localized AI assistant platform with CLI, dashboard, multi-platform chat integration (WhatsApp/Telegram/Discord), and LLM provider support
AI SDLC repository spec-driven development workflow. Use when an AI assistant receives a medium or large feature, refactor, API change, architecture change, provider integration change, or any request that must follow requirements, design, test cases, QA planning, tasks, implementation, and validation. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution.
Analyze character traits based on story text and generate detailed character biographies. Suitable for in-depth understanding of story character settings, providing references for actors to shape roles, and establishing character files for script creation
Multi-agent PR and code review workflow for projects using multiple AI assistants (Claude, GitHub Copilot/Codex, Gemini Code Assist). Use when working with pull requests, code reviews, commits, or addressing review feedback. Teaches how to check all feedback sources (conversation, inline, reviews), respond to inline bot comments, create Fix Reports, and coordinate between agents that use different comment formats. Critical for ensuring no feedback is missed from external review bots.
Generate ideas in one shot using creative sampling
Use when generating an MCP server from an OpenAPI spec with Speakeasy. Triggers on "generate MCP server", "MCP server", "Model Context Protocol", "AI assistant tools", "Claude tools", "speakeasy MCP", "mcp-typescript"
Channel the mental models, decision frameworks, and communication style of real experts (Steve Jobs, DHH, Rich Hickey, etc.) to approach problems the way they would. Use when the user says "summon", "channel", "what would [name] think", "ask [name]", or wants an expert perspective on a problem.
Generate ideas in one shot using creative sampling
OpenClaw AI工作助手完整中文教程 - 安装配置、Skills扩展、自动化工作流和实战案例
Deploy and configure OpenClaw AI assistant with multi-model support and messaging channel integrations
Analyze product reviews across any e-commerce platform. Extract actionable insights from customer feedback including pain points, praise patterns, feature requests, and sentiment trends.
Guides setup and usage of the Zhin MCP (Model Context Protocol) server plugin. Covers configuration, available tools, resources, and prompts for AI assistant integration. Use when integrating Zhin with AI coding assistants like Claude or Cursor via MCP.