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Found 1,849 Skills
MSW search integration — (1) vector search for API docs and implementation guides (msw-guide-mcp or curl against mlua_Document_Retriever / mlua_API_Retriever), (2) REST API search for resources (sprite / animation / sound / resource pack / avatar). Use for 'find details, examples, or related APIs not in .d.mlua', 'need a SpriteRUID', 'monster sprite', 'background image', 'find a sound', 'avatar rendering', etc. Keywords: document search, API details, examples, guide, retriever, resource, sprite, animation, sound, RUID, resource pack, avatar.
Build production RAG systems with semantic chunking, incremental indexing, and filtered retrieval. Use when implementing document ingestion pipelines, vector search with Qdrant, or context-aware retrieval. Covers chunking strategies, change detection, payload indexing, and context expansion. NOT when doing simple similarity search without production requirements.
Create refreshable, auditable Open Design artifacts backed by connector or local data. Trigger when the user asks for live dashboards, refreshable reports, synced views, or reusable data-backed artifacts.
Open a named, traced browser session into an RVF cognitive container with a ruvector trajectory recording every action
Use this skill when > Create exercise directory structures for educational content that comply with linting standards. Sections use XX-section-name/ naming, exercises use XX.YY-exercise-name/ with problem/, solution/, explainer/ variants. Use when creating course content or educational exercise structures.
US overnight-eligible securities directory and HK broker participant directory via Longbridge Securities. `security-list` covers the US overnight-trading catalog only (this is the only category exposed through this endpoint). `participants` is the HK broker_id ↔ name dictionary. For non-US listed-stock lookups, route the user to `longbridge-quote` for individual symbol queries. Triggers: "美股 listed", "美股 overnight", "经纪商 ID", "broker_id", "港股经纪商", "港股經紀商", "經紀商 ID", "list of US stocks", "overnight tradable", "broker directory", "participant lookup".
创建包含 sections、problems、solutions 和 explainers 的 exercise directory structures，并确保通过 linting。Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.
Connect to Postgres databases, run SQL and diagnostics, inspect schemas and migrations, review query performance, and use common PostGIS or pgvector patterns.
Market intelligence: strategy screener, popularity rankings, top movers with news correlation, quote anomalies, index/ETF constituent stocks, morning briefings, catalyst monitoring for watchlist, event-driven strategies, ETF fund flows, sector rotation, market microstructure, supply chain analysis, industry overviews, and ARK-style disruptive innovation analysis. Triggers: "筛选", "策略筛选", "排行", "热度", "异动", "成分股", "晨报", "早报", "催化剂", "事件驱动", "ETF资金流", "板块轮动", "产业链", "行业概览", "颠覆式创新", "ARK", "篩選", "排行", "異動", "成分股", "晨報", "ETF資金流", "板塊輪動", "產業鏈", "screener", "rank", "anomaly", "constituent", "morning brief", "catalyst", "event strategy", "ETF flow", "ETF资金流", "ETF申赎", "ETF資金流", "etf flow", "资金申赎", "etf 资金", "sector rotation", "supply chain", "ARK", "disruptive innovation", "板块筛选", "行业筛选", "板塊篩選", "強勢板塊", "弱勢板塊", "top sectors", "催化劑", "事件驅動", "行業概覽", "顛覆式創新", "策略篩選", "熱度"
Salesforce Data Cloud Connect phase. Use this skill when the user manages Data Cloud connections, connectors, or sets up a new source system. TRIGGER when: user manages Data Cloud connections, connectors, connector metadata, tests a connection, browses source objects or databases, or sets up a new source system. DO NOT TRIGGER when: the task is about data streams or DLOs (use data360-prepare), DMOs or identity resolution (use data360-harmonize), retrieval/search (use data360-query), or STDM telemetry (use agentforce-observe).
Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure.
List tasks by directory with progress and visual indicators