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Found 1,702 Skills
Develops resources for FiveM using the QBCore Framework. Covers resource creation, Core Object usage, Player management, Callbacks, Events, Items, Jobs, Gangs, Database (oxmysql), and best practices. Use when the user works with FiveM, QBCore, Lua scripts for QBCore servers, or mentions `QBCore.Functions`, `GetCoreObject`, `CitizenID`, or any system of the QBCore Framework.
Self-contained deploy automation — invoke directly, do not decompose. Deploys a Vibes app to exe.dev VM hosting. Uses nginx on persistent VMs with SSH automation. Supports client-side multi-tenancy via subdomain-based Fireproof database isolation.
Complete literature retrieval capability combining search and filter skills. LOAD THIS SKILL WHEN: User needs "文獻檢索", "找文獻", "retrieve literature", "系統性搜尋" | starting systematic review | comprehensive literature search. CAPABILITIES: Multi-database search, MeSH expansion, quality filtering, PRISMA-compliant workflow. COMPOSITE SKILL: Combines literature-search + literature-filter.
Prisma-to-Zod schema generator with composable Query Engine. Use when user mentions zodipus, prisma zod schemas, prisma validation, zod from prisma, query builders with zod, runtime database validation, or type-safe prisma queries.
Better Auth — framework-agnostic TypeScript authentication & authorization library. Covers setup, email/password, social OAuth (40+ providers), passkeys, magic links, 2FA, organizations, sessions, plugins, admin, hooks, and security hardening. Use when implementing auth with Better Auth: configuring auth instances, adding providers, setting up database adapters (Prisma, Drizzle, PostgreSQL, MySQL, SQLite, MongoDB), integrating with frameworks (Next.js, Nuxt, SvelteKit, Astro, Hono, Express, Elysia, Fastify, Expo), managing sessions, or extending with plugins.
Interpret genetic variants (SNPs) from GWAS studies by aggregating evidence from multiple databases (GWAS Catalog, Open Targets Genetics, ClinVar). Retrieves variant annotations, GWAS trait associations, fine-mapping evidence, locus-to-gene predictions, and clinical significance. Use when asked to interpret a SNP by rsID, find disease associations for a variant, assess clinical significance, or answer questions like "What diseases is rs429358 associated with?" or "Interpret rs7903146".
Conduct multi-dimensional comparative analysis based on user-input technical options or project requirements, and output structured technology selection reports. Applicable scenarios: front-end framework selection, back-end technology comparison, database selection, deployment solution evaluation
Creates repository following Clean Architecture with Protocol in domain layer and Implementation in infrastructure layer. Use when adding new data access layer, creating database interaction, implementing persistence, or need to store/retrieve domain models. Enforces Protocol/ABC pattern with ServiceResult, ManagedResource lifecycle, and proper layer separation. Triggers on "create repository for X", "implement data access for Y", "add persistence layer", or "store/retrieve domain model".
Comprehensive automation for Letterly transcriptions. This skill exports the latest CSV from Letterly, processes "magic" notes into Obsidian markdown with custom metadata, semantically links them using a vector database, and moves them to the final Transcriptions directory. Use when the user asks to "process new letterly transcriptions", "sync letterly", or "import magic notes from letterly".
Use this skill when spreadsheet files are the primary input or output. This means the user wants to: open, read, edit, or repair existing .xlsx, .xlsm, .csv, or .tsv files (e.g., add columns, calculate formulas, format, create charts, clean messy data); create new spreadsheets from scratch or from other data sources; or convert between spreadsheet file formats. Trigger this especially when the user references a spreadsheet file by name or path—even casually (such as "the xlsx in my downloads")—and wants to process it or generate content from it. It's also used to clean or reorganize messy tabular data files (rows with incorrect formatting, misaligned headers, garbage data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do not trigger this when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
@classytic/arc — Resource-oriented backend framework for Fastify. Use when building REST APIs with Fastify, resource CRUD, defineResource, createApp, permissions, presets, database adapters, hooks, events, QueryCache, authentication, multi-tenant SaaS, OpenAPI, job queues, WebSocket, or production deployment. Triggers: arc, fastify resource, defineResource, createApp, BaseController, arc preset, arc auth, arc events, arc jobs, arc websocket, arc plugin, arc testing, arc cli, arc permissions, arc hooks, arc pipeline, arc factory, arc cache, arc QueryCache.
Scrape TikTok user collection folders and their video links with full metadata (plays, likes, comments, shares). Use when user asks to get, scrape, fetch, extract, or download TikTok collections, favorites, saved videos, bookmarks, or collection folder contents for any TikTok account. Accepts any user identifier — username, @username, profile URL, video URL, short link (vm.tiktok.com), user_id, or secUid. Zero external API dependency, no paid service needed, only requires curl_cffi. Works without login cookies for public collections (~80% coverage). Also use for TikTok competitor analysis, content research, viral video discovery, or building video databases.