'assistant' 검색 결과

Home Assistant 마이그레이션을 검토해 입력 형식의 버전, 설정 항목 보존, 기존 파일을 덮어쓰지 않는 출력과 비밀 정보 처리를 확인합니다.

• 저장 형식의 지원 버전을 확인합니다
• 알 수 없는 설정 항목의 보존을 확인합니다
• 기존 파일의 덮어쓰기 방지를 점검합니다

Install PuerTS in a Unity project by selecting a version, identifying required packages and dependencies, and choosing downloads or Git URLs. The guide also covers Editor Assistant installation, verification, and Windows troubleshooting.

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• Install PuerTS packages in a Unity project
• Set up the PuerTS Editor Assistant
• Identify dependencies for agent or mcp

Manage AI assistant configurations and peer-to-peer mesh network connections in the NV oOS Pro Toolkit. Covers assistant creation, model configuration, provider setup, peer discovery, mesh networking, cross-assistant communication, and detecting from a coding-agent session (Zed) which NV oOS assistants / MCP servers are enabled. Use when creating or editing AI assistants, configuring model providers, setting up peer connections, managing mesh network topology, debugging assistant behavior, or answering "is agent X available" / "what tools does this MCP have".

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Use when setting up, customizing, or troubleshooting the Salesforce Path component on Opportunity, Lead, Case, or custom objects. Triggers: 'add guidance to stages', 'key fields on path', 'celebrate closed won', 'path not showing', 'configure path steps', 'confetti on stage change'. NOT for creating the stage picklist — use admin/opportunity-management. NOT for in-app prompts — use admin/in-app-guidance-and-walkthroughs. Metadata: PathAssistant, PathAssistantStep, PathAssistantSettings, pathAssistantEnabled, canOverrideAutoPathCollapseWithUserPref, runtime_sales_pathassistant:pathAssistant, picklistValueName, recordTypeName, BusinessProcess.

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Manage AI assistant configurations and peer-to-peer mesh network connections in the NV oOS Pro Toolkit. Covers assistant creation, model configuration, provider setup, peer discovery, mesh networking, and cross-assistant communication. Use when creating or editing AI assistants, configuring model providers, setting up peer connections, managing mesh network topology, or debugging assistant behavior.

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Design a general-purpose assistant for tasks such as email summaries, short reply drafts, and note capture. The playbook defines task boundaries, completion criteria, and concise responses, with only the tools needed for the requested work.

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• Designing an assistant for email summaries
• Building a helper for short reply drafts
• Defining the scope of a note-taking assistant

Provision a client-brand AI assistant in the NV oOS Pro Toolkit — brand intake, system-prompt authoring, tool selection, an idempotent provisioning script, credentials, and end-to-end verification. Use when creating a brand manager or social media assistant for a client brand (e.g. Aerlinn), onboarding a new brand into the Design Stack, replicating an existing brand assistant, or updating a brand assistant's prompt, tools, or campaign copy.

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Operational guide for the NV oOS assistant export/import track — the canonical nvoos-assistant bundle format (v1), the shared portability engine, its five surfaces (WP-CLI, REST, admin UI, AI tools, backup provider), the Pro blueprint exporter, credential-redaction rules, legacy/blueprint import compatibility, test conventions, and the Content Graph port checklist. Use when extending or debugging assistant export/import, adding a surface, changing the bundle schema, fixing round-trip fidelity, or continuing the portability track ("continue the portability plan", "add assistant export to X").

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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.

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• Collecting product recommendations for a specific category
• Gathering answers to a batch of shopping questions
• Researching deals and shopping trends

Manage Home Assistant configuration safely and fast — edit and deploy YAML (automations, blueprints, scripts, scenes, templates, MQTT), validate with ha core check, deploy via git or rapid scp, reload-vs-restart correctly, verify changes from logs, traces and entity state, and build Lovelace dashboards. Use for any Home Assistant config, automation, template, or dashboard work over SSH/hass-cli/MCP.

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Initiate natural language Q&A through Amazon's storefront Alexa shopping assistant to get shopping guidance answers, recommended product groups, ASIN lists, and follow-up questions. Each call supports only 1 prompt; for follow-ups, the agent must summarize context and concatenate a new question for a new request. A url can be used to supplement Amazon page context. Trigger when the user mentions Amazon Alexa, Alexa shopping assistant, Amazon smart assistant, AI shopping guide, conversational product selection, natural language shopping, Amazon chat Q&A, Amazon Alexa shopping, conversational shopping, AI shopping assistant, follow-up questions, product recommendation conversation, context follow-ups. Even if the user does not explicitly mention "Alexa", if their need is to "ask for product recommendations on Amazon using natural language", this skill should also be triggered.

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Design, create, or validate saved and transient Vapi voice assistants. Use for new phone or web agents, production system prompts and first messages, saved-versus-transient architecture, model/voice/transcriber selection, multilingual compatibility, existing tool attachment, native call-control tools, assistant hooks, and Create Assistant API validation errors.

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Security-Scanner Agent fuer fabrikIQ und andere Projekte. Fuehrt umfassende Sicherheitspruefungen durch. Trigger bei: (1) Pre-commit Validation, (2) PR-Creation, (3) Weekly Security Audits, (4) Nach Dependency-Updates, (5) Vor Production Deployments. <example> Context: User moechte vor einem Commit sicherstellen, dass keine Secrets committed werden. user: "Ich will gleich committen. Pruefe mal auf Secrets." assistant: "Ich starte den security-scanner Agent, um den Code auf API Keys, Tokens und andere Secrets zu pruefen." <Task tool call to security-scanner agent> </example> <example> Context: Weekly Security Audit des fabrikIQ-Projekts. user: "Fuehre den woechentlichen Security-Scan durch." assistant: "Ich fuehre einen vollstaendigen Security-Scan durch: Secret Detection, Dependency Audit, OWASP Patterns, Security Headers und Rate Limiting." <Task tool call to security-scanner agent> </example> <example> Context: User hat Dependencies aktualisiert und will Vulnerabilities pruefen. user: "Ich habe npm update und pip install -U gemacht. Gibt es Sicherheitsprobleme?" assistant: "Ich scanne die aktualisierten Dependencies auf bekannte Vulnerabilities mit dem security-scanner Agent." <Task tool call to security-scanner agent> </example> <example> Context: PR-Review mit Security-Fokus. user: "Review den PR #42 auf Security-Probleme." assistant: "Ich analysiere die geaenderten Dateien im PR auf Security-Patterns: SQL Injection, XSS, Hardcoded Credentials und fehlende Input-Validation." <Task tool call to security-scanner agent> </example>

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Homecore 기능의 소스, 테스트, 승인된 설계 결정을 추적해 구현 상태와 제약을 확인하고, 구현 유무와 배포 환경 호환성을 구분합니다.

• 기능 관련 소스와 설계 결정 조사하기
• 구현 상태와 제약 확인하기
• 코드 변경 전 관련 테스트 읽기

업무, 조사, 운영, 창작용 AI 에이전트를 설계하고 구축합니다. 필요한 작업과 지식을 정리하고 작은 구성에서 시작해 계획 관리와 하위 에이전트를 단계적으로 추가합니다.

• 업무용 어시스턴트 설계
• 조사용 에이전트 구축
• 필요한 작업과 지식 정리

Build voice assistants and conversational characters with ElevenLabs. Configure voices, language models, and external tools, then connect conversations to a website widget or use Twilio integration for outbound phone calls.

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• Creating a voice bot for customer support
• Embedding a voice assistant on a website
• Building an interactive voice character

Build Java applications that exchange live audio with AI assistants using Azure AI VoiceLive. The skill covers authentication, streaming sessions, speech detection, voice selection, transcription, and handling responses over WebSocket, a persistent two-way connection.

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• Implementing a real-time voice assistant in Java
• Configuring speech detection and interruptions
• Adding transcription and noise reduction

Check whether the iMessage channel can read messages on a Mac and review who is allowed to contact the assistant. Get guidance on required permissions, current access rules, and the next setup step.

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• Check initial iMessage channel setup
• Investigate why texts do not reach the assistant
• Review approved senders and access rules

Design hands-on workshops with short explanations, immediate exercises, and quick self-checks. Use brief dialogue between a teacher and an assistant to guide practice, then finish with a small project that combines what learners have tried.

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• Create a workshop built around hands-on practice
• Turn long explanations into short briefs and exercises
• Write guiding dialogue for a teacher and assistant

Connect NanoClaw to an existing Signal account through signal-cli, a command-line tool for Signal. Use personal chats, Note to Self, or group conversations to exchange messages with an AI assistant without registering a new number.

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• Contact an assistant through Signal's Note to Self
• Use an assistant in a small Signal group
• Link an existing Signal number without registering a new one

Connect NanoClaw to Slack so you can chat with an AI assistant in direct messages and channels. The skill guides connection setup, credentials, installation, and checks, with support for Socket Mode or webhook event delivery.

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• Chat with an assistant through Slack DMs
• Use an assistant in team channels
• Connect Slack without a public URL

Guide a new user through optional account connections, a preferred assistant voice, and a review of current work. Save a lasting profile, then propose and set up specific help after confirming behavior and timing.

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• Set up an assistant for the first time
• Choose the assistant's tone and writing style
• Identify recurring work from connected tools

Open the assistant’s latest rendered message in Plannotator and return specific annotations for revision. The skill distinguishes requested edits from approval, approval with notes, and a closed session, so each review result receives the appropriate response.

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• Annotate the assistant’s latest response for revision
• Approve a response without requesting further work
• Approve with notes to guide subsequent work

Analyze Mixpanel data with Python to explore usage trends, conversion steps, returning users, and differences between user groups. Also manage business context documents that explain an organization's structure and goals to AI assistants.

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• Find where users drop out before purchasing
• Compare retention across user groups
• Explore feature usage and revenue trends