196 skills · sorted by relevance
Develop long articles for WeChat official accounts in Khazix’s writing style. Use supplied material, viewpoints, and real experiences to shape a conversational draft, then review its wording, structure, supporting details, and sense of a personal voice.
Design an enterprise search system that answers questions using retrieved company content, an approach called RAG. Gather requirements and produce architecture diagrams, deployment guidance, and validation plans using GKE, AlloyDB, and open models.
Build AI applications in Python with Genkit, including conversational agents, generation workflows, streaming responses, and tool use. The skill also guides setup and debugging through traces, recorded details of model inputs, outputs, and actions.
Helps build AI features in Go with Genkit, including text generation, structured data output, streaming, tool calls, and conversational agents. Guides HTTP serving and trace inspection to check model responses and tool execution.
Maintain personal goals and beliefs with timestamped backups, or analyze project documents to connect problems, goals, strategies, and projects. Turn findings about progress, bottlenecks, and alignment into reports, presentation points, or interactive dashboards.
Turn product documentation into sales materials with a conversational story, charcoal sketch artwork, and talking points. The workflow connects product value to a narrative and matching visual for pitches, presentations, and sales scripts.
Import existing notes and agent instructions into LifeOS by splitting content into sections and proposing destinations. Review uncertain classifications, approve selected groups, and retain source information alongside the imported material.
Guides building AI applications that search documents before answering questions, an approach called RAG. Covers importing files and web data, creating searchable indexes, adding conversational interfaces, and evaluating whether answers match the retrieved material.
Examine education and career choices through decision frameworks drawn from 张雪峰’s public statements. The skill considers family circumstances, researches current employment data for concrete questions, and responds in a direct conversational style.
Manage skills through conversation: find, inspect, install, edit, remove, and restore them within the current instance. It handles files, repositories, and archives, and can organize documents or images into reusable skills.
Add a virtual companion to OpenClaw that starts conversations during long tasks and sends messages with scene-appropriate images through 飞书. The documented initial implementation uses generated dialogue, scene detection, and a static image library.
Find other occurrences of a known bug across a codebase by tracing its root cause. Gradually broaden search patterns, assess matching candidates, assign severity, and document findings with rules to help prevent recurrence.
Design or review Apache Hudi tables through questions about data volume, updates, and usage. Get architecture recommendations, a decision record explaining tradeoffs, and configuration artifacts for supported processing paths.
Manage Ouroboros settings through a browser interface or chat commands. Choose agents and models globally or for individual stages, change the LLM backend, review saved settings, and restore the configuration from before the last change.
Submit shopping questions to Amazon's Alexa/Rufus assistant and collect answers as JSON, a structured data format. Use product search results as context for category research, or run a series of general shopping questions.
Draft and revise public replies to questions, bug reports, and community discussions. Use a warm, conversational tone while giving specific explanations, acknowledging uncertainty, asking focused follow-up questions, and making the next action clear.
Create and manage focused Specialist agents and Skills through conversation. Draft agent roles, review available Skills and Connectors, configure access, and manage changes, with Skill creation and publishing handled by the application's internal skill-creator.
Develop a research idea through a structured conversation, then turn the answers into a written research specification. Clarify the question, testable hypothesis, data needs, methods for assessing cause and effect, expected findings, and feasibility.
Plan a livestream for product sales, knowledge sharing, entertainment, or a brand event. Generate a timed running order, conversational scripts, audience interaction segments, preparation checklists, and responses to quiet moments, negative comments, or technical problems.
Write documentation following Metabase's conversational, clear, and user-focused style. Use when creating or editing documentation files (markdown, MDX, etc.).
The English summary is being prepared. Showing the original description.
Conversational AI-first interface with minimal controls, clear outcomes, and delegated task flows for agentic workflows.
The English summary is being prepared. Showing the original description.
Azure AI Voice Live SDK for JavaScript/TypeScript. Build real-time voice AI applications with bidirectional WebSocket communication. Use for voice assistants, conversational AI, real-time speech-to-speech, and voice-enabled chatbots in Node.js or browser environments. Triggers: "voice live", "real-time voice", "VoiceLiveClient", "VoiceLiveSession", "voice assistant TypeScript", "bidirectional audio", "speech-to-speech JavaScript".
The English summary is being prepared. Showing the original description.
Azure Bot Service Management SDK for Python. Use for creating, managing, and configuring Azure Bot Service resources. Triggers: "azure-mgmt-botservice", "AzureBotService", "bot management", "conversational AI", "bot channels".
The English summary is being prepared. Showing the original description.
Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.
The English summary is being prepared. Showing the original description.