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Found 111 Skills
NFL data via ESPN public endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, win probability, injuries, transactions, futures, depth charts, team/player stats, leaders, and news. Zero config, no API keys. Use when: user asks about NFL scores, standings, team rosters, schedules, game stats, box scores, play-by-play, injuries, transactions, betting futures, depth charts, team/player statistics, or NFL news. Don't use when: user asks about football/soccer (use football-data), college football (use cfb-data), or other sports.
Web toolkit powered by Exa, tuned for scientific and technical content. Use this skill when the user needs to search the web or fetch/extract URL content. Covers: web search (semantic lookups, research, current info — with optional research-paper category and academic domain filtering) and URL extraction (fetching pages, articles, academic PDFs in batch). Use this skill for web-related tasks when the user wants high-quality search or scholarly filtering via category=research paper. Triggers on requests to search, look up, fetch a page, or extract an article.
Execute apply production-ready Supabase SDK patterns for TypeScript and Python. Use when implementing Supabase integrations, refactoring SDK usage, or establishing team coding standards for Supabase. Trigger with phrases like "supabase SDK patterns", "supabase best practices", "supabase code patterns", "idiomatic supabase".
Help users add knowledge base documents to Runway Characters for domain-specific conversations
OpenD Installation Assistant. Automatically download and install Futu/moomoo OpenD and upgrade Python SDK. Supports Windows, MacOS, Linux. Automatically activated when users mention installation, download, startup, operation, configuration of OpenD, development environment, SDK upgrade, futu-api.
Esports data — Dota 2 (OpenDota) and League of Legends esports (Leaguepedia). Pro matches, tournaments, teams, and structured LoL competitive data. Use when: user asks about Dota 2 pro matches/teams/leagues, or LoL esports tournaments/rosters/results. Don't use when: user asks about esports betting/odds — use the `kalshi` (get_esports_odds) or `polymarket` (get_esports_events) skills (no keyless bookmaker-odds source exists). Don't use for non-Dota/LoL titles (only Dota 2 and LoL are covered).
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.
Apply production-ready Documenso SDK patterns for TypeScript and Python. Use when implementing Documenso integrations, refactoring SDK usage, or establishing team coding standards for Documenso. Trigger with phrases like "documenso SDK patterns", "documenso best practices", "documenso code patterns", "idiomatic documenso".
Use the unified Opper SDKs (`opperai` package for both Python and TypeScript, with built-in agent support) for AI task completion, structured output with Pydantic / Zod / JSON Schema, knowledge base semantic search, streaming, tracing, tool use, and multi-agent composition. Use this skill whenever the user is writing Python or TypeScript code that imports `opperai`, builds an Opper agent, or asks how to do anything Opper-related in code — even if they don't explicitly name the SDK. Both languages live in one repo with parallel numbered examples; agents are part of the SDK, not a separate package.
Clean code patterns for Azure AI Search Python SDK (azure-search-documents). Use when building search applications, creating/managing indexes, implementing agentic retrieval with knowledge bases, or working with vector/hybrid search. Covers SearchClient, SearchIndexClient, SearchIndexerClient, and KnowledgeBaseRetrievalClient.
How to deploy a chalk function ("chalkcompute.function"). Useful for deploying a stand-alone python function in Chalk's container infrastructure. Use when someone wants to run a python function remotely on Chalk, deploy a chalkcompute function, or asks about the chalkcompute SDK.
Use this skill for any Yandex DataLens automation task through the Python package `datalens-sdk`. Trigger on: DataLens, datalens, даталенс, chart, чарт, график, dashboard, дашборд, dataset, датасет, connection, подключение, workbook, воркбук, collection, коллекция, wizard chart, QL chart, editor chart, BI automation, автоматизация DataLens, "create a dashboard", "построй дашборд", "создай чарт", "export dataset", or "clone dashboard"; entity ids such as dataset_id, chart_id, dashboard_id, or workbook_id; and requests to create, update, inspect, import, export, copy, or diagnose DataLens objects with code. NOT for: business questions about metric values; viewing or screenshotting the DataLens web UI; embedding or iframes; raw SQL/YQL analysis that does not manage DataLens entities; raw HTTP API calls; standalone HTML pages or reports, except publishing or managing them through this SDK.