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Found 2,684 Skills
Tableau platform help — Tableau Desktop, Tableau Cloud, Tableau Server, Tableau Prep, Tableau Pulse, Embedding API, REST API (v3.28, PAT/JWT auth, 300+ endpoints), MCP server, and Tableau+. Use when dashboards are slow with large datasets, LOD expressions or calculated fields aren't working, licensing costs are confusing or spiraling, Tableau won't connect to Salesforce or your data warehouse, embedded analytics aren't rendering, Tableau Prep flows keep failing, or you need help choosing Creator vs Explorer vs Viewer licenses. Do NOT use for general CRM config (use /sales-salesforce) or sales forecasting methodology (use /sales-forecast).
Install, configure, and start FireRed-OpenStoryline from source on a local machine. Use when a user asks to set up OpenStoryline, troubleshoot installation, download required resources, fill config.toml API keys, or launch the MCP and web services, as well as Chinese requests like “安装 OpenStoryline”, “配置 OpenStoryline”, “启动 OpenStoryline”, “把 OpenStoryline 跑起来”, “修复 OpenStoryline 安装问题”, or “排查 OpenStoryline 启动失败”.
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.
Interactive lesson-level quiz for Claude Code tutorials. Tests understanding of a specific lesson (01-10) with 8-10 questions mixing conceptual and practical knowledge. Use before a lesson to pre-test, during to check progress, or after to verify mastery. Use when asked to "quiz me on hooks", "test my knowledge of lesson 3", "lesson quiz", "practice quiz for MCP", or "do I understand skills".
Every Customer.io action a marketer or ops engineer takes — campaigns, broadcasts, segments, deliveries, exports, suppressions, Reverse-ETL — wrapped in named verbs, backed by a local SQLite cache, and served through a bundled MCP server. Trigger phrases: `use customer-io`, `run customer-io`, `trigger a customer.io broadcast`, `send a customer.io transactional message`, `export a customer.io segment`, `check customer.io delivery health`, `audit customer.io suppressions`, `what fraction of segment X opened journey Y in customer.io`.
Use when the user asks for a literature review, academic deep dive, research report, state-of-the-art survey, topic scoping, comparative analysis of methods/papers, grant background, or any request that needs multi-source scholarly evidence with citations. Also trigger proactively when a user question clearly requires academic grounding (e.g. "what's known about X", "compare approach A vs B in the literature", "summarize the field of Y"). Runs an 8-phase (Phase 0..7), script-driven research workflow across 7 federated sources (OpenAlex, arXiv, Crossref, PubMed, DBLP, bioRxiv, Exa) with optional Semantic Scholar / Brave MCP enrichment, with deduplication, transparent ranking, dual-backend citation chasing (OpenAlex + Semantic Scholar), self-critique, and structured report output with verifiable citations.
Buffett-style single-stock moat diagnostic — "Would Buffett buy this stock?" Five dimensions: business & moat / financial health / management & capital allocation / valuation & margin of safety / long-term visibility. Data from Longbridge CLI first, MCP fallback, WebSearch only for gaps. Runs cross-statement reconciliation (勾稽校验) BEFORE scoring; data-source appendix closes with a one-line reconciliation summary. Output: star-rated radar card, dimension detail, Buffett-voice narrative, mandatory holding-period education block. Triggers: "巴菲特", "护城河", "巴菲特会买吗", "价值投资", "好生意", "宽护城河", "定价权", "诊股", "巴菲特诊股", "巴菲特视角", "长期持有", "護城河", "巴菲特會買嗎", "價值投資", "寬護城河", "定價權", "診股", "巴菲特診股", "巴菲特視角", "長期持有", "Buffett", "Warren Buffett", "moat", "economic moat", "wide moat", "pricing power", "value investing", "owner earnings", "would Buffett buy", "Berkshire-style", "quality compounder".
Graham cigar-butt batch screener — runs Benjamin Graham's NCAV / net-net / defensive-investor hard filters across an index or market universe and returns a ranked candidate list with NCAV ratio, PE, PB, dividend yield, debt coverage, 5y earnings stability, Graham buy price, and a dynamic value-trap warning. Longbridge CLI/MCP first; WebSearch fills genuine gaps (PMI, sector outlook). Every figure footnoted to its source. Auto-switches model for banks / insurance / REITs and flags <2y IPOs and suspended names. Triggers: "格雷厄姆筛选", "格雷厄姆选股", "捡烟蒂榜单", "烟蒂股榜", "NCAV筛选", "NCAV排行榜", "净流动资产筛选", "防御型投资者选股", "撿煙蒂榜單", "煙蒂股榜", "NCAV篩選", "淨流動資產篩選", "防禦型投資者選股", "Graham screen", "Graham screener", "NCAV screen", "net-net screen", "net-net list", "cigar-butt screen", "defensive investor screen", "liquidation value screen", "Benjamin Graham screen".
When msw-search cannot find a suitable sprite RUID, draw a pixel art sprite directly with SVG / HTML5 Canvas / HTML code, render it to PNG, and upload it via msw-mcp `asset_create_resource_storage_item` to obtain a sprite RUID. Two style modes are supported: chunky pixel (retro / icon / tile feel) and maple cartoon (MapleStory-inspired character / NPC feel). Triggers: draw sprite directly, create sprite, image generation, custom graphic, pixel art, cartoon sprite, maple style, chibi character, painter, draw a sprite, make an icon, create NPC image directly, draw a slime, custom sprite.
ALWAYS USE THIS SKILL to retrieve metadata from an org to your local project using the sf project retrieve start command. Supports multiple retrieval modes: retrieve all remote changes, retrieve by source directory, retrieve by metadata type with wildcards, retrieve by manifest (package.xml), or retrieve by package name. Use when the user asks to retrieve, pull, sync, or download metadata, Apex classes, custom objects, or org changes. Supports source format (default) or metadata format (ZIP). DO NOT TRIGGER for deploying metadata (use platform-metadata-deploy skill), listing metadata, or generating package.xml. NEVER use MCP tools - always use this skill and the Bash tool with sf project retrieve start.
Edit talking-head videos in Pireel Studio through the `pireel` MCP server — first-run connect/setup, transcript-based cutting, storyboarding, designed graphic blocks, kinetic captions, themes, MP4 export, local media import, and error recovery. Read this whenever the user wants to install/connect/set up Pireel, or to edit/cut/trim/storyboard/illustrate/caption/theme/export a Pireel video, or when any `pireel` MCP tool is about to be called for the first time or fails. Routes to the right bundled reference for each task.
Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP, Claude Code, Claude Cowork, Claude in Excel, Claude in PowerPoint, Claude in Chrome, the Claude API, or prompting technique; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together, even when another skill has already answered the question. Only recommend on a strong match; never invent Academy content.