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Found 4,751 Skills
Cross-product Zoom reference skill. Use after the workflow is clear when you need shared platform guidance, app-model comparisons, authentication context, scopes, marketplace considerations, or API-vs-MCP routing.
Orchestrate the complete advisor workflow for assembling and delivering a comprehensive financial plan, from data gathering through recommendations and ongoing monitoring. Use when the user asks about building a financial plan for a client, structuring a planning engagement, coordinating retirement and education and estate goals into one plan, running scenario analysis across a full financial picture, prioritizing competing recommendations, preparing for a plan presentation meeting, or deciding when a plan needs updating. Also trigger when users mention 'comprehensive financial plan', 'discovery meeting', 'cash flow analysis', 'retirement modeling', 'education funding gap', 'plan delivery', 'savings rate', 'plan update trigger', or 'is my client on track'.
Design-driven development methodology. The design/ directory is the single source of architectural truth — read it before coding, stay within its boundaries, and when the system's shape needs to change, update the design first. Use this skill whenever starting any development work on this project. Also use when the user asks to: create or update architecture docs, add a new module or feature that might cross existing boundaries, refactor system structure, or understand the codebase architecture. Trigger on phrases like "design first", "update the design", "does this change the architecture", "write a design for", "what's the current design", or when onboarding to understand a codebase's shape. Supports arguments: `/design-driven init` to configure a project for design-driven development, `/design-driven bootstrap` to generate design from an existing codebase.
Persistent key-value memory storage for agents. Store and recall information across conversations and sessions. Use when you need the agent to remember facts, preferences, or data between interactions.
Linux (Ubuntu/Debian) server initial setup and ongoing administration skill. Covers new server hardening, user management, package management, file permissions, resource limits, log rotation, cron scheduling, and disk management. USE WHEN: - Performing initial setup of a fresh Ubuntu/Debian server (VPS, bare metal, cloud VM) - Hardening SSH, disabling root login, configuring sudo - Configuring system-level resource limits (ulimits, sysctl) for high-concurrency workloads - Managing users, groups, file permissions, and ACLs - Setting up log rotation, journald retention, swap, and NTP - Troubleshooting disk full, FD exhaustion, locale errors, or time drift DO NOT USE FOR: - Container-level administration (use docker or kubernetes skill) - Application deployment pipelines (use deployment-strategies or ci-cd skill) - Firewall/fail2ban configuration (use firewall skill) - Nginx or service configuration (use nginx or systemd skill)
Choose and refactor visionOS app architecture across surfaces, scene boundaries, state ownership, and file layout. Use when deciding window vs volume vs immersive space, splitting a feature across scenes, cleaning up a monolithic spatial root, or defining the ownership map before implementing SwiftUI or RealityKit details.
MUST activate when the project contains a uiBundles/*/src/ directory and the user wants to add authentication or search to their app. Use this skill when adding authentication or search to a UI bundle app. Only covers two features: authentication (login, logout, protected routes, session management) and search (global search across pages and content). Always use this skill for these two features instead of building from scratch.
Use this skill when generating higher-level synthesis notes such as literature reviews, comparison matrices, project summaries, or other cross-note summaries inside the project knowledge base.
This skill MUST be used for semantic Rust navigation and analysis: resolving definitions across crate boundaries, finding all references to a symbol, inspecting inferred types or trait implementations, searching symbols by name, and renaming symbols safely. SHOULD be preferred over grep or file reads whenever the task requires Rust-aware understanding.
HyNote AI platform help — full-stack AI note-taker that captures audio, meetings, PDFs, images, YouTube videos, and web pages into structured notes with flashcards, quizzes, mind maps, and presentation generation. Use when setting up HyNote for recording meetings or lectures and generating structured notes, troubleshooting transcription accuracy or speaker identification issues, figuring out which HyNote plan includes real-time transcription and Notion export, comparing HyNote to Otter or Granola or Coconote for AI note-taking, evaluating HyNote for multilingual transcription across web and mobile, understanding why exported notes don't include transcripts on the free plan, or deciding whether HyNote Teams is worth the per-seat cost. Do NOT use for comparing AI meeting note-takers for sales teams (use /sales-note-taker) or reviewing a sales call for coaching (use /sales-call-review).
Transync AI platform help — real-time AI meeting translation with near-zero latency (<0.5s) dual-screen bilingual display across 60+ languages, AI voice broadcast, AI meeting notes with summaries, custom domain terminology via AI Assistant, system audio sharing (no bot/plugin) for Zoom/Teams/Meet/WhatsApp. Use when setting up Transync AI for multilingual meetings, Transync AI translation accuracy dropping with accents or technical terms, Transync AI dual-screen display not showing translations, Transync AI meeting notes not generating summaries, choosing between Transync AI Personal Premium vs Enterprise plan, Transync AI time card top-up running out mid-meeting, Transync AI voice broadcast not working, or Transync AI vs JotMe or Talo or Langfinity for real-time meeting translation. Do NOT use for general note-taker comparison across all platforms (use /sales-note-taker) or enterprise RSI with human interpreters (use /sales-kudo or /sales-interprefy).
Create and run orq.ai experiments — compare configurations against datasets using evaluators, analyze results, and generate prioritized action plans. Use when evaluating LLM agents, deployments, conversations, or RAG pipelines end-to-end. Do NOT use without a dataset and evaluators. Do NOT use for cross-framework comparisons with external agents (use compare-agents).