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Found 2,344 Skills
use TensorArt/Tusi/吐司 to generate image or video for you
Enable AI agents to safely make real-world merchant purchases using Snaplii's tokenized gift card payment layer with up to 10% savings.
Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.
Get portfolio positions from Interactive Brokers. Use when user asks about their portfolio, positions, holdings, or what stocks they own. Requires TWS or IB Gateway running locally.
Connect to the Newegg PC Builder MCP service to retrieve PC build configurations, component compatibility checks, and build recommendations. Use this skill whenever the user asks about PC builds, custom PC configurations, component compatibility, budget builds, gaming rigs, workstation setups, or anything related to selecting or validating PC components on Newegg — even if they don't mention "PC Builder" by name. Also trigger when the user says things like "help me build a PC", "is this GPU compatible with my motherboard", "what parts do I need for a $1500 gaming build", or "show me Newegg build configs".
Futu / moomoo (富途/moomoo) — HK/US/A-share/SG stocks via a LOCAL OpenD gateway. Account, positions, orders, quotes, history, order placement. Use when the user wants to check or trade a Futu / moomoo / 富途 account (e.g. "Futu positions", "buy 100 HK.00700 on moomoo", "富途 账户资产"). Requires a running OpenD gateway — NOT a cloud key.
Bulk-fill ONE master template — a Word (.docx) letter/form or an Excel (.xlsx) form — from a data table, producing one filled file per row (mail-merge). Use whenever the user wants to "fill in this letter for each person", "mail merge", "generate letters for this list", "run this template over a spreadsheet", or hands over a template plus a list. The skill reads the master, proposes a TOKENISED version (varying parts become {{tokens}}), confirms the template and the token-to-column mapping with the user, then regenerates one output per data row — preserving the master's layout and styling exactly. Data is an .xlsx or .csv (one row per output); outputs are one named file per record. Never invents: a token with no data is written as a VISIBLE flag, never a silent blank. Runs fully local and generates files only — it does not send, post or sign. Not for extracting data OUT of documents, and not a substitute for a hand-crafted single letter.
Call hosted LLMs (OpenAI GPT, Anthropic Claude, Google Gemini, open-weights models) through the Lightning AI models API / LLM gateway - chat, streaming, multi-turn conversations, images, and model metadata; plus the teamspace model checkpoint registry. Use when the user wants to run inference through lightning.ai, compare gateway models, or manage model artifacts on the platform.
Abstract detector tickets and hints into reusable edge concepts with thesis, invalidation signals, and strategy playbooks before strategy design/export.
Generate professional, Outlook-compatible email templates (EML + HTML) through natural conversation. Creates pixel-perfect newsletter layouts, announcement emails, weekly reports, event invitations, and any formatted email that needs to render correctly in Outlook. MUST use this skill when the user wants to: create or design an email template, generate an EML file, make a newsletter, format an email for Outlook, design a 邮件模板, do 邮件排版 or 邮件设计, create HTML email with Outlook compatibility, build a professional-looking email to send via Outlook, or produce any kind of formatted/styled email output. Also trigger when the user mentions: weekly report email (周报邮件), product update email, event invitation email (活动邀请邮件), announcement email (公告邮件), company newsletter, or wants to make an email "look professional/beautiful" for sending. This skill handles the visual design and EML generation — not email sending, SMTP setup, or email parsing. Without this skill, Outlook emails will have broken layouts because Outlook uses Word's rendering engine which ignores modern CSS.
When the user wants to model inventory systems with uncertain demand, optimize safety stock levels, implement (s,S) or (Q,r) policies, or analyze service levels under uncertainty. Also use when the user mentions "stochastic inventory," "probabilistic inventory," "(Q,r) policy," "(s,S) policy," "base stock policy," "safety stock optimization," "service level constraints," "lead time demand distribution," "fill rate calculation," or "inventory with demand uncertainty." For deterministic models, see economic-order-quantity or lot-sizing-problems. For single-period uncertainty, see newsvendor-problem.
Query Chrome browsing history with natural language. Filter by date range, article type, keywords, and specific sites.