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Found 61 Skills
Restore and fix image quality — deblur, denoise, dehaze, fix faces, restore documents. Use when the user requests "Fix blurry image", "Remove noise", "Fix face", "Restore photo", "Enhance document", "Deblur", "Denoise".
Restore and fix image quality — deblur, denoise, fix faces, and restore old documents using fal.ai's hosted restoration models.
Tiny and elegant HTTP client based on the Fetch API for modern browsers, Node.js, Bun, and Deno
Dimensional modeling and schema design for data products. Star schema patterns, slowly changing dimensions, denormalization decisions, and architecture decision records. Use when designing data models, reviewing schema designs, choosing between normalization strategies, or when someone asks "how should I model this data?" or "should I denormalize?" For OMOP CDM patterns specifically, see healthcare-data-domain.
Look up metadata for any Injective token or denom. Resolves native tokens (INJ), Peggy ERC-20 bridged tokens (USDT, USDC, WETH), IBC assets (ATOM, OSMO), TokenFactory tokens, and EVM ERC-20s to their human-readable symbol, decimals, and type. Also supports sending tokens between addresses and depositing/withdrawing from trading subaccounts. Requires the Injective MCP server to be connected.
Saleor backend internals and behavior reference. Covers discount precedence, order-level vs line-level discount stacking, manual/voucher/promotion interactions, and denormalized field semantics. Use when working with Saleor discounts, building Dashboard discount UI, or debugging discount application order.
TypeScript language expertise for type-safe, production-quality code. Use for advanced type system features (generics, discriminated unions, conditional and mapped types), strict mode configuration, type-safe APIs with zod/trpc/prisma, and modern tooling across Node, Deno, and Bun.
Reduce noise and grain from videos using each::sense AI. Denoise low light footage, remove high ISO grain, enhance security camera video, restore old footage, and improve webcam quality.
Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing.
Build TypeScript clients for SpacetimeDB. Use when connecting to SpacetimeDB from web apps, Node.js, Deno, Bun, or other JavaScript runtimes.
Use when you need to apply data-oriented programming best practices in Java — including separating code (behavior) from data structures using records, designing immutable data with pure transformation functions, keeping data flat and denormalized with ID-based references, starting with generic data structures converting to specific types when needed, ensuring data integrity through pure validation functions, and creating flexible generic data access layers. Part of the skills-for-java project
First-century Hebrew scripture interpretation assistant. Explains Bible passages through Yeshua's perspective as a first-century Torah-observant Jewish teacher, grounded in Hebrew language analysis and biblical archaeology. Use this skill whenever the user asks about Bible verses, Torah passages, scripture meaning, biblical concepts, Hebrew word studies, or anything related to understanding the Bible — especially when they want historically accurate interpretation free from later Christian denominational theology. Also use when the user references specific books like Genesis, Exodus, Psalms, Isaiah, Matthew, Romans, etc., or Hebrew/Greek terms from scripture. Triggers on any Bible study, scripture interpretation, or theological question.