'webhook' 검색 결과

Helps developers build systems that receive live Zoom audio, video, transcripts, chat, and screen sharing. Covers SDK setup, persistent WebSocket connections, media selection, and troubleshooting for recording, transcription, and meeting assistants.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a live meeting transcription pipeline
• Receive audio and video for custom recording
• Design media ingestion for an AI meeting assistant

Develop C++ bots that join existing Zoom meetings from Linux servers without a graphical interface. Follow guidance for recording raw audio and video, feeding transcription or AI workflows, and handling authentication, recording permissions, and Docker audio setup.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a bot that automatically joins and records Zoom meetings
• Feed meeting audio into a transcription service
• Connect transcripts to AI summaries and action item extraction

Plan a Zoom meeting bot or recorder, including how it joins meetings, handles live audio, video, and transcripts, and connects backend services for storage, post-processing, and event handling.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a bot that joins Zoom meetings
• Planning live audio, video, and transcript processing
• Organizing post-meeting storage and retries

Guides the implementation of Zoom meeting experiences in web or mobile apps. Helps choose between Meeting SDK and Video SDK, plan authentication and joining, and identify when meeting creation needs REST API support or other references.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Embed Zoom meetings in a web or mobile app
• Plan authentication and the meeting join flow
• Choose between Meeting SDK and Video SDK

Turn resolved support issues, recurring questions, and workarounds into help article drafts customers can search and follow. Choose an appropriate format, organize instructions clearly, and include metadata, source references, and publishing review notes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning a resolved support ticket into a help article
• Documenting answers to recurring questions
• Explaining a known issue and its workaround

Connect NanoClaw agents to Microsoft Teams channels, group chats, and direct messages. The skill installs and tests the adapter, then guides bot creation, credentials, app installation, and connecting the assistant to a selected Teams user.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Consult an agent in a Teams channel
• Use a personal assistant through Teams direct messages
• Talk with a bot in a group chat

Design agents for recurring internal work such as scheduled posts, data synchronization, and event responses. Define triggers, duplicate prevention, approval boundaries, required integrations, and a consistent seven-field execution record for every run.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design an agent for scheduled internal notifications
• Define data synchronization between two tools
• Build a workflow that responds to incoming events

Summarize Playwright test results in a Markdown report with failures, timings, and tests that pass only after retries. Use configured reporting destinations and compare earlier reports when historical results are available.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarizing the latest Playwright test run
• Reviewing failed tests and their error messages
• Sharing results through configured Slack or TestRail connections

Generate a starting project for a subscription web app with Next.js, including sign-in, database schemas, billing routes, and a dashboard. The workflow also covers staged validation and reference documents for customization and common setup problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Starting a subscription web app
• Setting up authentication and billing together
• Building a dashboard and pricing page

Find information you previously saw on screen and reconstruct past work from locally recorded screenshots, recognized text, and app usage. Summarize research, measure recorded screen time, and provide references that reopen the relevant moments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding a page or passage you previously saw
• Reviewing the sequence of work from a particular day
• Checking recorded time spent in apps or websites

Compare a component's own design needs with the goals of the larger system through three structured passes. The result identifies conflicts, recommends an appropriate scope, and assesses whether the proposed design fits the whole.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing between a service, a library, and inline code
• Comparing feature requests with product goals
• Checking how new components fit an existing system

Design iii backends by combining functions, queues, and shared state. Choose patterns for workflows with retries, live updates, cooperating AI agents, and event-driven processing, with examples showing how the pieces connect.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing order workflows with retries and step tracking
• Updating screens or caches when stored data changes
• Passing tasks between specialized AI agents

Manage Cloudinary images, videos, and files with natural language requests. Organize folders, configure upload rules, inspect assets, generate transformed versions, and check storage and bandwidth usage through Rube MCP and Composio.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organizing campaign assets into folders
• Setting upload rules for product images
• Generating cropped images and thumbnails

Find companies and contacts in Apollo.io, add missing prospect details such as email addresses and phone numbers, and organize outreach lists. Use natural language requests to search saved contacts, create records, and update sales stages.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding target companies by location and employee count
• Finding contacts by job title and company
• Adding missing details to multiple prospects

Build and debug Shopify themes, custom apps, and storefronts connected through APIs. The skill covers Liquid templates, app authentication, checkout extensions, performance improvements, and the configuration, testing, and deployment steps needed for implementation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Customizing product pages and collection filters
• Building custom Shopify apps
• Creating independent storefronts with the Storefront API

Manage Hugging Face Hub through the hf command line tool. Download and upload models or datasets, organize cloud storage, manage authentication and local caches, run scheduled jobs, and deploy or maintain model inference services.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Download or publish models and datasets
• Sync training checkpoints to cloud storage
• Inspect and clean the local cache

Build and troubleshoot Shopify themes, apps, and custom storefronts with task-specific references. It covers Liquid, Shopify’s template language, API data access, custom business rules, and performance improvements, using API version 2026-01.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Write and debug Liquid templates
• Customize OS 2.0 themes
• Build Shopify apps and API integrations

Build applications with embedded wallets, user sign-in, and transactions across multiple blockchains. This skill guides wallet creation, spending limits, shared approvals, and server-controlled wallets for organizations or AI agents using Privy.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add sign-in and embedded wallets to an app
• Set spending limits for an AI agent's wallet
• Build treasury wallets with shared approvals

Maintain Kiln’s list of large language models by discovering new releases, testing provider access, and marking unavailable entries as deprecated. Prepare pull requests, report unresolved issues, and check whether the updated list needs publication.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Run the scheduled model sweep manually
• Add new models and test provider access
• Mark unavailable model entries as deprecated

Test chatbots and AI agents for injected instructions, data leaks, and unauthorized access across accounts. It emphasizes reproducible evidence, verified external requests, and real data access rather than trusting the model's claims.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Test document-based prompt injection
• Verify data leaks through tools or rendered images
• Check data isolation between accounts

Review checkout, discounts, subscriptions, and verification flows for business logic flaws. The skill helps connect price manipulation, repeated credit redemption, skipped checks, and forged payment notifications to measurable financial loss, unauthorized access, or privacy impact.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review checkout prices and currency handling
• Check coupons and credits for repeated redemption
• Inspect email and phone verification flows

Coordinate changes across multiple GitHub repositories with teams of AI agents. Align package versions, synchronize documentation, standardize project structures, and organize integration tests and pull requests for updates that affect several projects.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Aligning dependency versions across repositories
• Synchronizing shared documentation
• Standardizing repository structures and CI workflows

Build automated data checks with Great Expectations and dbt to detect missing values, duplicates, invalid ranges, and stale records. Define data contracts, shared agreements on data structure and quality, and summarize validation results across tables.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add missing-value and duplicate checks to order data
• Build dbt tests for relationships between tables
• Define shared data requirements between teams

Full inbox management across all channels — WhatsApp (wacli), Email (Gmail MCP), Slack (MCP), Telegram (user-auth MCP), Discord (webhook + REST read), Notion (MCP — comments, mentions, assigned tasks). Scans FULL inbox (not just unread), identifies messages needing replies, archives handled conversations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.