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Found 12,137 Skills
Use this skill when building, debugging, or answering questions about Liveblocks. Liveblocks gives you the building blocks and infrastructure to enable people and AI to work together inside your app, powering realtime collaboration. Liveblocks features include collaboration, rooms, organizations, workspaces, comments, composer, threads, notifications, multiplayer, conflict resolution, realtime presence, avatar stacks, AI collaborators, AI agents, text editors, Tiptap, BlockNote, Lexical, React Flow, Chat SDK. Common components include AiChat, Thread, InboxNotification, Composer, Toolbar (for Lexical Tiptap), FloatingToolbar, FloatingComposer, FloatingThreads, AnchoredThreads. Common hooks include useThreads, useStorage, useMutation, useOthers, useInboxNotifications, useAiChats. Common issues are related to authentication (ID tokens vs access tokens), permissions, room limits, connection errors, user info.
Map, analyze, and redesign the systems behind product experiences. Part of the Intent design strategy system. Creates service blueprints, ecosystem maps, process architecture, and dependency diagrams. Understands how services, teams, tools, and data flows connect to produce (or fail to produce) user outcomes. Proposes structural changes to how products and services are organized. Trigger on: service blueprints, system maps, process architecture, actor/role mapping, dependency analysis, cross-functional workflows, operational design, "how does this system work?", "what breaks when X happens?", "map out the service", "where are the dependencies?", or any question about the structural machinery behind a product experience. Use this skill broadly — whenever someone needs to understand or redesign how a system works, not just what a user sees.
Use when the user asks to design multi-agent systems, create agent architectures, define agent communication patterns, or build autonomous agent workflows.
Implement the Syncfusion React Toolbar component to create responsive command bars and action toolbars. This skill covers organizing buttons, separators, and input components with various overflow handling modes. Use this when building rich text editors, document editors, or command-driven interfaces in React applications.
Full three-statement financials (IS / BS / CF) for listed companies via Longbridge — income statement, balance sheet, cash flow statement; annual / semi-annual / quarterly periods. Use this skill to fetch raw financial data. For deep analysis (DuPont, accruals, fraud flags) use longbridge-financial-analysis; for health scoring use longbridge-financial-checkup. Triggers: "财务报表", "三张表", "利润表", "资产负债表", "现金流量表", "三表模型", "季报", "年报", "财报数据", "財務報表", "三張表", "利潤表", "資產負債表", "現金流量表", "三表模型", "季報", "年報", "財報數據", "financial statements", "income statement", "balance sheet", "cash flow statement", "three financial statements", "annual report data", "quarterly financials", "TSLA.US financials", "700.HK balance sheet".
Extract a validated learning from the current session, store it in the central agent learnings file, and sync the resulting Learnings section into the agent definitions used by the supported CLIs. User-only maintenance workflow for durable agent guidance.
Search and recall relevant memories from past sessions via memsearch. Use when the user's question could benefit from historical context, past decisions, debugging notes, previous conversations, or project knowledge -- especially questions like 'what did I decide about X', 'why did we do Y', or 'have I seen this before'. Also use when you see `[memsearch] Memory available` hints injected via SessionStart or UserPromptSubmit. Typical flow: search for 3-5 chunks, expand the most relevant, optionally deep-drill into original transcripts via the anchor format. Skip when the question is purely about current code state (use Read/Grep), ephemeral (today's task only), or the user has explicitly asked to ignore memory.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
Reverse import existing novels. Parse written novels (unfinished or completed) into a standard project directory structure, compatible with the subsequent writing workflow of story-long-write. Internally reuse the deep analysis pipeline of story-long-analyze. Trigger methods: /story-import, "Import Novel", "Reverse Parse", "Import", "Import My Book"
DeepEval evaluation workflow for AI agents and LLM applications. TRIGGER when the user wants to evaluate or improve an AI agent, tool-using workflow, multi-turn chatbot, RAG pipeline, or LLM app; add evals; generate datasets or goldens; use deepeval generate; use deepeval test run; add tracing or @observe; send results to Confident AI; monitor production; run online evals; inspect traces; or iterate on prompts, tools, retrieval, or agent behavior from eval failures. AI agents are the primary use case. Covers Python SDK, pytest eval suites, CLI generation, tracing, Confident AI reporting, and agent-driven improvement loops. DO NOT TRIGGER for unrelated generic pytest, non-AI test setup, or non-DeepEval observability work unless the user asks to compare or migrate to DeepEval.
Personal financial planning framework for China / HK / Singapore investors via Longbridge — retirement savings targets (based on current Longbridge account net worth), education fund planning, balance sheet review, cash flow analysis, gap analysis between current portfolio and financial goals. Triggers: "财务规划", "退休规划", "储蓄目标", "教育金", "资产负债表", "财富规划", "财务目标", "个人理财", "財務規劃", "退休規劃", "儲蓄目標", "教育金", "資產負債表", "財富規劃", "財務目標", "個人理財", "financial planning", "retirement planning", "savings goal", "education fund", "personal finance", "wealth planning", "net worth", "financial goals", "balance sheet", "gap analysis".
MSW `.ui` single entry point — design + component API + builder + runtime. Anchor/pivot/RectTransform, UIGroup/CanvasGroup hierarchy, layout recipes (HUD/popup/toast/menu/inventory/scroll-list), full API tables for ButtonComponent/TextComponent/SpriteGUIRendererComponent/ScrollLayoutGroup/GridView/TextInput/Slider/Mask/AvatarGUIRenderer + UI enums (AlignmentType/OverflowType/ImageType/FillAmount), `.mlua` runtime patterns (popup open-close, toast, HP bar, GridView, drag, tab, cooldown, world nametag), UI-client-only caveats (nil on server, no RPC), `.ui`↔`.mlua` UUID auto-binding (write+inject_bindings), resolution/safe-area/touch. UIBuilder (msw_ui_builder.cjs): all node types (panel/text/sprite/button/slider/scroll_layout/text_input/group/mask/grid_view/avatar/skeleton etc.), component add/replace/patch/remove, 13 anchor presets+stretch, auto-inject .mlua UUID bindings after write.