Skill UI

A comprehensive guide to diagnosing and resolving common technical issues encountered with the Granola application. Covers fixes for audio capture failures, transcription quality degradation, calendar syncing problems, and integration errors with platforms like Slack and Notion. Includes platform-specific troubleshooting steps for macOS and Windows users.

A comprehensive guide detailing the strategy for migrating from competing meeting note tools (such as Otter.ai, Fireflies, Fathom) to a new platform like Granola. This skill covers assessing migration scope, performing source-specific data exports (TXT, JSON, Markdown), selecting the optimal migration strategy (Fresh Start, Selective, Full Archive), and executing a phased transition through parallel runs and final cutover procedures. It ensures historical data preservation and minimizes operational disruption.

This structured runbook guides users through critical incident response procedures for Instantly.ai. It covers severe issues like account health crises, major campaign failures, deliverability drops, and API outages. The guide provides step-by-step triage, mitigation, and recovery actions (P1-P4) using code examples, ensuring rapid and systematic resolution during platform incidents.

This guide provides a comprehensive strategy for managing and reducing expenses within the Lindy AI platform. Learn how to audit agent credit consumption, right-size models by using less expensive versions for simple tasks, consolidate redundant agents, and optimize trigger frequency. Implementing these steps ensures cost efficiency and sustainable operation of your AI workflows.

A comprehensive runbook for managing and resolving common incidents within the TwinMind meeting AI platform. This guide covers failures such as transcription not starting, audio capture issues, syncing errors, and calendar disconnections. It provides API setup, code snippets, and detailed troubleshooting steps to ensure a stable, continuous meeting AI workflow.

JobGPT is a comprehensive automation platform for managing your entire career journey. It allows users to search for jobs using advanced filters (location, salary, remote, etc.), auto-apply to openings, generate tailored resumes optimized for specific roles, and track application progress across multiple job boards. Furthermore, it provides valuable salary intelligence, helps find target recruiters, and facilitates professional outreach, making the job hunt process highly efficient.

This toolkit provides comprehensive automation capabilities for Confluence platforms via Rube MCP. It allows users to automate the entire documentation lifecycle, including creating and updating pages, performing advanced content searches using CQL, managing spaces, and applying labels efficiently. Ideal for teams needing to streamline knowledge base maintenance and content governance.

Expert technique for narrowing down Asian drama candidates by leveraging streaming platform and broadcast channel information. Use this when the query mentions services like Netflix, Viki, or Amazon Prime, combined with genre and year details. This method significantly increases search precision, especially when combining platform data with temporal or thematic keywords.

WizTelemetry Logging is a core extension component within the KubeSphere Observability Platform, designed for comprehensive log collection, processing, and storage. It supports advanced log collection architectures, including collecting container stdout/stderr logs (via vector-logging) and collecting logs directly from the container filesystem (via logsidecar-injector). Use this guide to understand its configuration, dependencies, and how to query logs using the dedicated API.

This guide provides a comprehensive framework for optimizing operational costs within the Glean enterprise search platform. It details best practices for content governance, including filtering stale drafts and limiting document sizes, optimizing data source connectors, and implementing incremental indexing strategies. Implementing these measures helps minimize indexing volume and usage fees, maximizing search value while maintaining cost efficiency.

This skill acts as a specialized prompt engineer for AI design tools. It transforms vague, rough UI/UX ideas into polished, highly optimized prompts. It systematically enhances prompts by injecting missing details such as specific components, design system adherence (colors, typography), page structure, and platform context, ensuring the resulting command is professional and ready for superior AI generation.

This guide provides comprehensive strategies for minimizing operational costs within the MindTickle learning platform. It details cost drivers across various components, including seat licenses, content storage, quiz assessments, call recording analysis, and API integrations. Users can learn best practices for content deduplication, implementing incremental sync, setting proper retention policies, and optimizing resource usage to reduce unnecessary spend and improve overall platform efficiency for sales organizations.