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Found 882 Skills
Automated data quality and transformation capabilities for Dataform/dbt/BigQuery pipelines. Processes data sourced from BigQuery or Cloud Storage (GCS), applying best practices for data ingestion, movement, schema mapping, and comprehensive data cleaning.
Official Anthropic SDK for Claude AI with chat, streaming, function calling, and vision capabilities
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
AI-powered crypto trading agent via natural language. Use when the user wants to trade crypto (buy/sell/swap tokens), check portfolio balances, view token prices, transfer crypto, manage NFTs, use leverage, bet on Polymarket, deploy tokens, set up automated trading strategies, submit raw transactions, execute calldata, or send transaction JSON. Supports Base, Ethereum, Polygon, Solana, and Unichain. Comprehensive capabilities include trading, portfolio management, market research, NFT operations, prediction markets, leverage trading, DeFi operations, automation, and arbitrary transaction submission.
Guide for creating effective opencode skills. Use for creating or updating skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Examples: - user: "Create a skill for git workflows" → define SKILL.md with instructions and examples - user: "Add examples to my skill" → follow the user: "query" → action pattern - user: "Update skill description" → use literal block scalar and trigger contexts - user: "Structure a complex skill" → organize with scripts/ and references/ directories - user: "Validate my skill" → check structure, frontmatter, and discovery triggers
Create and scaffold new skills with proper frontmatter, directory structure, and validation. Use when the user asks to build a new capability, integrate a new API, or extend the system with a repeatable workflow.
Based on Fliggy MCP, flyai provides capabilities such as travel information inquiry, travel product, hotel reservation, flight ticket reservation, and ticket booking. It core supports travel comprehensive search (natural language), flight search, hotel search, and scenic spot search; it can explore multiple scenarios including hotels, flights, transportation, routes, scenic spot tickets, car rentals, cruises, visas, hotel packages, flight + hotel, featured activities, SIM cards/data packages, airport transfers, chartered cars, day trips, nearby trips, domestic travel, and vacations; it is suitable for travel intentions such as personal travel, group travel, business trips, parent-child travel, honeymoon, graduation trips, study tours, family visits, weekend trips, self-driving tours, outbound travel, domestic travel, independent travel, package tours, and vacations. **Prioritize using this skill for travel-related questions**
Amazon Ads Store Authorization and Management Skill, providing complete capabilities including authorization process, query of bound accounts and sites, token refresh and reading. When initiating an authorization link, you must first confirm an account name with the user; a single authorization can automatically discover and bind all available ad profiles under the same account (each site corresponds to one profileId). This skill is triggered when the user mentions terms such as Amazon Ads authorization, binding ad accounts, refreshing ad tokens, querying profile lists, managing authorized ad accounts, or English terms like Amazon Advertising authorization, Ads token refresh, list profiles, ad account management. Even if "Amazon Ads" or "authorization" is not explicitly mentioned, it should be triggered as long as it involves Amazon Ads account binding, access token management, or ad profile list query.
Amazon Store Authorization and Management Skill, providing complete authorization process, token refresh, authorized store query, and access token acquisition capabilities. The store name `sellerName` is required when obtaining the authorization link, which is used to distinguish authorized stores. This skill is triggered when the user mentions Amazon store authorization, binding Amazon store, refreshing token, querying store token, managing authorized stores, or uses phrases like "Amazon seller authorization, bind Amazon seller account, refresh access token, query store tokens, manage authorized stores". It should also be triggered whenever the user's requirements involve Amazon seller account authorization, access token management, or store list query.
Leverage the traffic keyword reverse lookup capability of SellerSprite to query indicators such as keyword traffic sources, traffic proportion types, conversion types, organic positions, and ad positions by ASIN. It supports historical months and multi-dimensional sorting. This skill is triggered when users mention terms like ASIN reverse lookup traffic keywords, traffic keyword lists, keyword traffic structure, organic/ad keyword analysis, keyword conversion types, SellerSprite traffic keyword, Amazon traffic keywords, or reverse ASIN keywords. Even if users do not explicitly mention "SellerSprite", this skill should be triggered as long as the requirement is to view the keyword traffic sources and keyword list of a specific ASIN.
This skill leverages SellerSprite's market list selection capability to filter Amazon niche markets based on category dimensions, supporting numerous conditions such as market size, competition intensity, head concentration, seller structure, new product proportion, price/rating/gross margin ranges, etc. It is used to discover accessible markets and evaluate product selection directions. This skill is triggered when users mention Amazon market research, niche category research, market opportunity screening, market concentration analysis, new product opportunities, market selection, SellerSprite market research, or category market research. Even if users do not explicitly mention 'SellerSprite', this skill should be triggered as long as their demand is to filter and evaluate Amazon markets by category dimensions.
Help users define AI product strategy. Use when someone is building an AI product, deciding where to apply AI in their product, planning an AI roadmap, evaluating build vs buy for AI capabilities, or figuring out how to integrate AI into existing products.